AMIR ASIF • PhD, PEng Dean • Faculty of Engineering and ...asif/Amir_Asif_Profile_CV.pdf ·...

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AMIR ASIF • PhD, PEng

Dean • Faculty of Engineering and Computer Science

Leadership Profile, University Service, and Resume.


Amir Asif - Leadership Profile Amir Asif is dean of Faculty of Engineering and Computer Science (ENCS) and professor of Electrical and Computer Engineering at Concordia University. His term as ENCS’s seventh dean began on August 1, 2014.

An emerging voice among engineering leaders in Canada, Asif is rethinking how to unlock the full potential of the engineering profession for greater social impact through academic innovation, by transcending traditional boundaries of conventional approaches and disciplines, and by addressing systemic issues that have been holding the profession back. His extensive academic experience and university service have contributed to his reputation for thoughtful decisive leadership aimed at training the next generation of engineering and computer science leaders.

Innovation and interdisciplinarity are also at the heart of his research. As a specialist in signal processing, Asif focuses on developing next generation technologies for a variety of everyday applications including health and medical devices, radar and sonar applications, distributed multi-agent networked systems, and electrical power grids. In earmarking pursuit of excellence for his institution, he leads by example and maintains active research and teaching profiles. He is the recipient of several prestigious teaching awards and has published extensively in scientific journals and international conferences. His educational experience includes post-doctoral and graduate studies at Carnegie Mellon University. He has been awarded grants for core engineering research and applied industrial projects undertaken in the United States, Europe, and Canada. As the principal investigator of the Centre for Innovation in Information Visualization and Data Driven Design (CIV/DDD), he led a multi-million, multi-institutional research project funded by the province of Ontario under the Ontario Research Foundation/Research Excellence program. He continues to work with industry on applied research projects, the latest such collaboration has led to filing of a patent, entitled “A method and system of distributed and parallel video encoding and transcoding for multiple simultaneous and error-resilient qualities of service” jointly with IBM.

In Canada as elsewhere, Asif has been a trailblazing leader at every institution he has worked. He served as Director of the Computer Engineering program, Chair of the Department of Computer Science and lately as the founding Chair of the Department of Electrical Engineering and Computer Science (EECS) at York University before moving to Concordia University as the Dean of the Faculty of Engineering and Computer Science. As the EECS founding Chair, he transformed the Department from a single program unit to a comprehensive school offering programs in computer engineering, software engineering, electrical engineering, digital media, and computer security, which eventually developed into the new Lassonde School of Engineering at York University. At Concordia, he has chaired the development of a new bachelor’s degree in aerospace engineering (the first of its kind in an English language university in Quebec) and a PhD degree in software engineering (the very first doctoral program in the area in Canada).

Asif is passionate about refining public policy on higher education and improving University students’ experience. As Vice-Chair of the University Senate and Chair of the Senate Committee on Academic Standards, Curriculum and Pedagogy at York University, he oversaw the University wide policy on academic standards, regulations, curriculum and programs, including research-informed pedagogy. Across the Country, Asif has participated in various academic forums, including the TUNING initiative of the Higher Education Quality Assurance Council of Ontario (HEQCO), which focused on developing distinctive learning outcomes across diplomas, undergraduate degrees and graduate programs for the physical sciences sector to promote quality assessment, students’ mobility, credit transfer, and degree recognition. He is currently serving as

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the Chair, Research Committee of the Canadian National Council of Deans of Engineering and Applied Sciences (NCDEAS).

In his current role as Dean at Concordia University, Asif’s vision is to transform the Faculty into a distinguished engineering and computer science (ENCS) school recognized internationally for academic innovation, research excellence, and positive contribution to society. The 2016/21 ENCS Strategic Plan developed under his leadership and approved unanimously by the Faculty focuses on six strategic imperatives: Enhancing Research Quality and Reputation; Excellence in Academic Programs through Innovation; Elevating Students’ Learning Experience to New Heights; Embracing Integration across Engineering, Arts, Science, And Business; Empowering Students, Faculty, and Staff to Success; and Enabling Intellectual and Economic Vitality of our Community. Driving ENCS towards a brighter future, Asif has led the development of 10 Faculty-wide interdisciplinary research centres, numerous externally recognized research chairs, and creation of faculty research support and capital infrastructure funds focused on attracting the best researchers and achieving excellence in research. His latest interdisciplinary initiative of establishing a new School in Chemical and Materials Engineering aims at positioning ENCS as an international leader in chemical and materials engineering education, research and practice through multidisciplinary collaboration involving researchers from Chemistry, Physics, Chemical Engineering, Electrical Engineering, Civil Engineering, Environmental Engineering, and Metals and Materials Engineering. As approved by the Board of Governors, the CME school has been launched on May 1, 2017.

Leadership at Concordia University: 1. Innovative, Quality Programs for Academic Excellence

To achieve academic excellence, quality and innovation, I believe in introducing more flexibility in the university curriculum through modular, interdisciplinary program structures that enable personalized learning. Students should have the opportunity to tailor their education according to their career aspirations. In consultation with industry, public and private sectors, I have introduced innovative, next gen programs that epitomize the distinctive spirit of the university, while preserving the strength of existing offerings. Some examples of such programs that I have introduced at Concordia University include:

- A New Department in Chemical and Materials Engineering: was recently launched to: (i) Complete the academic structure of Concordia’s engineering offerings and research covering the complete spectrum of core engineering disciplines; (ii) Promote equity by attracting women, visible minorities, and indigenous students and faculty to engineering, and; (iii) Enable the Faculty to develop its own niche as an international leader in CME education, research and practice.

- Next-gen Academic Programs: synthesizing curricular, research, co-curricular, and experiential opportunities were introduced, including: (i) PhD in Software Engineering (Quebec’s 1st doctoral program in the area); (ii) Bachelors in Aerospace Engineering (Quebec’s 1st undergraduate aerospace degree in an English-speaking university and only the 2nd such degree across the province); (iii) Certificate in Innovation, Technology and Society (to introduce entrepreneurship, venture capitalism, intellectual property and patent law to students); (iv) Masters in Construction Engineering and Management, and Environmental Engineering , and; (v) Specializations in Computer Engineering in areas

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of Pervasive Computing, and Biological and Biomedical Engineering (the initial step towards establishing a Biomedical Engineering program).

- Programs in Preparation: for which Letter of Intents have been approved include: (i) Bachelors in Computational Biology (collaboration between Computer Science, Biology, and Chemistry); (ii) MASc/MSc in Nanoscience and Nano-technology (collaboration between Electrical/Computer Engineering, Mechanical Engineering, Chemistry and Physics); (iii) Graduate, modular programs (Certificate/Diploma/MASc/PhD) in Chemical and Materials Engineering (collaboration between Chemical Engineering, Materials Engineering, Chemistry, and Physics); (iv) MASc/MEng programs in Cyber Physical Systems Security Engineering & Critical Infrastructure Protection (Quebec’s 1st graduate cybersecurity program), and; (v) Graduate degree in Engineering and Public Policy (collaboration between Engineering and Political Science).

2. Scholarship, Research and related Creative Activities

To foster an environment that promises excellence in research, promotes its dissemination through scholarly publications, and tests the traditional boundaries of knowledge, I have developed organized research units and centres of excellence in areas of strategic importance to the University, while sustaining and strategically expanding our existing fields of strength. I have build partnerships with other Faculties and enhance collaboration with industry, private and public sectors. Existing graduate program offerings have been aligned with the University research priorities to better train graduate students to undertake cutting-edge research. Some of the initiatives launched under my leadership include:

- Multidisciplinary Research Centres: I drafted a policy for establishing Faculty Research Centres to enhance collaborative scholarship, research, and innovation activities, encourage interdisciplinary research, and share resources and research infrastructure. The policy facilitated establishment of the following Faculty Research Centres: (i) Centre for Structural Safety and Resilience; (ii) Centre for Software Engineering Research; (iii) Data Science Research Centre; (iv) Security Research Centre; (v) Centre for Urban and Renewable Energy(vi) Centre for Secure Wireless Health Monitoring Systems; (vii) Micro-Nano-Bio Integrative Centre; (viii) Thermal Spray and Surface Engineering Research Centre; (ix) Advanced Manufacturing Research Centre

- Promotion of Faculty Research Centres to University Research Centres: Of the aforementioned Centres, the following have been recommended for the status of University Research Centres: (i) Centre for Urban and Renewable Energy; (ii) Micro-Nano-Bio Integrative Centre; (iii) Thermal Spray and Surface Engineering Research Centre, and; (iv) Advanced Manufacturing Research Centre.

- Team-based Research Grants: Facilitated development of proposals for large, team-based research grants, including Innovation Supercluster Initiative, NSERC Strategic Partnership Grants for Networks (SPG), NSERC Collaborative Research Development Grants (CRD), NSERC Collaborative Research and Training Experience Program (Create), and NSERC Strategic Partnerships Grants (SPG). Successful projects include NSERC Canada Excellence Research Chair in Smart and Resilient Cities and Communities (approved), MOST 21 (LOI) approved for the proposal stage as an Innovative Supercluster, Green-SEAM approved as NSERC SPG, multiple NSERC

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CRDs (with CARIQ-PRATT-Pasmonique-DEMA Aero; InnovÉÉ-NSERC, OPAL-RT; Summit Technologies; VKS; and Ubisoft), and various NSERC Create grants.

- ENCS Capital Research Innovation Fund: Established ENCS Capital Research Innovation Fund for acquisition of major research infrastructure to promote cutting-edge research. The proposals required infrastructure requests for collective use by a team of ENCS faculty members, preferably on multidisciplinary engineering and computer science projects encompassing more than one department. A total of $1.7 million was made available for the ENCS Capital Research Innovation Fund in 2014/15. A second investment of $1 million is being planned in 2017/18.

- Research Chairs: Facilitated the development of successful research chair proposals, including NSERC Canada Excellence Research Chair in Smart and Resilient Cities and Communities (1), NSERC Canada Research Chairs (4), NSERC Industrial Research Chairs (3), NSERC Design Chair (1), Concordia University Research (12), and externally endowed Research Chair (1). Also, worked with existing Chairs on their renewal applications

3. Enhanced Teaching Quality and Student Learning (A Student Centric Approach)

To enhance learning that enriches students’ experience both inside and outside classrooms, I believe in cultivating a student centric learning environment. I have worked with the Office of Registrar and Department heads to help integrate and enhance the varied student advising services, which were previously disjoint. In addition, I promoted initiatives to ensure student learning and success through curricular, co-curricular and extra-curricular activities, including students’ clubs and organizations, student advising and mentorship, and student supports that reflect the different needs of our students. Some of these initiatives include:

- Undergraduate and Graduate Admissions: I developed and actively participated in outreach activities for undergraduate and graduate admissions. The first-choice undergraduate applications in ENCS were up by 35% and graduate applications by100% in Fall 2017. The wFTEs in the Faculty are approaching 20,000, an increase of over 5000 wFTEs (equivalently, a 25% increase) as compared to Fall 2014. The admission cut-offs in all nine ENCS programs have increased substantially.

- Student Academic Services: I supervised the restructuring of the ENCS Student Academic Services to facilitate student success and align student advising offered at the Faculty level with the Office of Registrar, Office of Dean of Students, and ENCS Academic Units.

- Accreditation of Engineering Programs: I worked with ENCS units to develop attribute based assessment procedures for the nine ENCS programs in fulfilment of the accreditation requirement of the Canadian Engineering Accreditation Board (CEAB). I oversaw the drafting of reports for CEAB accreditation and hosted the CEAB visiting team from Nov. 5 to Nov. 8, 2017.

- Online Pedagogy: I established an Engineering First Committee to enhance the first year experience by fostering students’ transition to the university and by ensuring that the first year curriculum provides necessary foundation for students to be well prepared for their specializations. An Online Pedagogy and Delivery Committee was mandated to expand and enrich E-learning as a tool to enhance learning by promoting communications and increasing flexibility.

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4. Enhanced Campus Experience and Community Engagement

To create a stimulating, thought-provoking and supportive culture, I worked with my colleagues to review our administrative infrastructure to ensure that the committees and procedures are responsive, accountable, transparent, and integrated and that they support the business of the Faculty. By encouraging dialogue, increased participation, and distributing authority, we have focused on building a sense of shared values and purpose. To enhance campus experience for students and staff members, support to student clubs has been increased and training programs for staff members have been introduced. Some of the significant initiatives completed are:

- Inauguration of new Faculty Advisory Board: Established a new Frame of Reference for the ENCS Advisory Board with a major focus on supporting advancement activities. Invited new members to the Board that had its first meeting on November 2, 2017.

- Faculty Hiring: Worked with Department Chairs on recruiting and career development of faculty. With key hiring in strategic areas, the ENCS faculty complement is 225 at the end of 2017/18 hiring cycle as compared to 176 faculty members in 2014/15.

- Space Needs: Prepared an analysis of ENCS space needs based on the provincial norms established by Ministre de l'Enseignement supérieur, de la Recherche, de la Science et de la Technologie.

- University Service: Working with university administration on the implementation of Concordia Strategic Directions, university-wide academic initiatives, advancement activities, external relations with industry, and collaboration with inter-institutional groups in Quebec.

5. Development of Faculty Strategic Plan

Consistent with University’s commitment to accessibility and social responsibility, I led the development of the 2016-2021 ENCS strategic plan that reaffirmed University aspirations, while setting out key initiatives to enable ENCS become a world leader in training engineers to design the next generation of integrated technologies. Six strategic imperatives were finalized in consultation with faculty members with each imperative encompassing five to six key objectives. Specialized teams comprising faculty, staff, and students are responsible for each imperative.

- 2016-2021 ENCS Strategic plan: Approved unanimously at all approval levels, the ENCS Strategic Plan: “Inspiring a New Generation of Engineers and Computer Scientists” defines key imperatives for ENCS to be a distinguished, next-gen engineering and computer science school recognized for academic innovation, research excellence, and its positive contribution to society. The Plan defines future academic priorities for the Faculty with a framework to evaluate annual progress on key objectives.

- ENCS Leadership Team: Developed a strong, collegial leadership team at the Office of the ENCS Dean, including Associate Deans, Department Chairs, Directors, and Managers. A number of task specific committees have been organized to help the Office of the Dean with prioritized initiatives.

- Advancement Activities: At the faculty level, I have worked on various outreach and advancement projects for the Faculty.

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Curriculum Vitae — Amir Asif

ContactInformation

EV002.169 Voice: +1 514 848 2424 X3062Electrical and Computer Engineering Fax: +1 514 848 4509Concordia University E-mail: [email protected], Quebec H3G 2W1, Canada https://users.encs.concordia.ca/∼asif/

A) PERSONAL

A1. Name Amir AsifDean, Faculty of Engineering and Computer Science, Concordia University

A2. Degrees Carnegie Mellon University, Pittsburgh, Pennsylvania, USAPh.D., Electrical and Computer Engineering, Sep. 1996

M.Sc., Electrical and Computer Engineering, May 1993

University of Engineering and Technology, Lahore, PakistanB.Sc., Electrical Engineering, Jun. 1990

A3. EmploymentHistory

Concordia University, Montreal, QC, CanadaDean, Faculty of Engineering and Computer Science Aug. 2014 - dateProfessor (tenured), Electrical and Computer Engineering Aug. 2014 - date

York University, Toronto, ON, CanadaChair and Professor (tenured) Jul. 2006 - Aug. 2014Associate Professor / Professor (tenured) Jul. 2002 - Aug. 2014Member, Graduate Program in Electrical Engineering & Comp. Science Jul. 2002 - Aug. 2014Member, Graduate Program in Earth and Space Science Jun. 2009 - Aug. 2014

Technical University of British Columbia1, Surrey, BC, CanadaAssistant / Associate Professor Jun. 1999 - May 20021TechBC was merged with Simon Fraser University on a provincial legislation in 2002.

Carnegie Mellon University, Pittsburgh, PA, USAResearch Engineer Nov. 1997 - May 1999Research Associate / Teaching Associate Jan. 1992 - Sep. 1996

GIK Institute of Engineering Sciences and Technology, Topi, PakistanAssistant Professor with the Faculty of Electronic Engineering. Sep. 1996 - Nov. 1997

Siemens, GermanyExecutive Engineer Jul. 1990 - Dec. 1991

A4. Honoursand Awards

– Faculty of Graduate Studies (FGS) Teaching Excellence Award, York University, 2008-09.

– Presidents University-Wide Teaching Award, York University, 2008.(Senior full-time tenured faculty with 10 or more years of full-time teaching experience).

– Excellence in Teaching Award, Faculty of Science and Engineering, York University, 2007.(Senior tenure stream faculty).

– Mildred Baptist Teaching Excellence Award, Department of Computer Science and Engineer-ing, York University, 2006-07 and 2002-03 (twice).

– Excellence in Teaching Award, Faculty of Science and Engineering, York University, 2004-05.

Curriculum Vitae — Amir Asif February 01, 2018 1

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B) SCHOLARLYANDPROFESSIONALCONTRIBU-TIONS

B1. Summary

My research interests lie at the intersection of three domains within electrical and computerengineering, namely, signal processing, control theory, and optimization. The overarching themethat brings these areas together is to develop smart, efficient, robust, and distributed signalprocessing algorithms for non-linear systems with non-Gaussian uncertainties. The applications Ihave considered in the recent past include array signal processing (estimation and imaging by timereversal), distributed agent networks (autonomy in complex and contested environments), medicalimaging (ultrasound elastography), data science (graph signal processing in social networks),electrical power systems (estimation and control in smart grids), and health management ofmission critical systems.

• Array Signal Processing (Time Reversal):

In environments with rich clutter, distortions due to multiple-scattering (multipath), diffrac-tion, and reverberation degrade the systems performance. Traditional array processing at-tempts to eliminate the effect of multipath using channel equalization or another form of de-convolution with the Greens function representing the channel. My research takes a differentapproach and addresses the question of what can be gained if an array processing algorithmexploits the information existing in the temporal structure of the observed field (i.e., in theset of multipath delays) to its advantage. My approach is based on time reversal, where therecorded reflection (backscatter) of the probing signal from the medium is time reversed andretransmitted back into the medium. The backscatter of the time reversed signal is used forestimating unknown parameters relevant to the unknown channel. Another attractive aspectof time reversal is that it does not require knowledge of the channel.

• Distributed Agent Networks (Autonomous Systems):

This research develops practical implementations of generic Monte Carlo signal processing ap-proaches for large-scale, non-linear, distributed multi-agent applications and demonstrate theirefficacy in autonomous systems and robots operating in complex environments. Core to thistechnology are agents that, among other features, have multiple onboard sensors, considerableprocessing capacity, short range communication links, and global positioning ability. My focusis on developing distributed signal and information processing algorithms to detect, classify,and track events and patterns of events as well as to estimate the operating status of theenvironment. Using such information, agents collect local pieces of a large puzzle and then col-lectively make an informative decision based on the collaborative signal processing and controlapproaches we develop.

• Medical Imaging (Ultrasound Elastography):

Shear-wave elastography is a relatively new imaging paradigm used for mapping tissue elas-ticity in medical diagnostics. My research focuses on developing signal processing approachesto accurately estimate the speed of the propagating shear-wave from which tissue elasticitycan be directly inferred. The proposed algorithms utilize the non-local means (NLM) frame-work to improve the signal-to-noise ratio in the observed radio-frequency data and estimatesthe displacement fields by optimizing a regularized cost function using higher-order analyticalminimization (HAM) coupled with Taylor series approximation.

• Data Science (Graph Signal Processing in Social Networks):

My research focuses on the inference, visualization, and learning from large datasets usinggraph signal processing approaches. My approach is based on a linear discrete signal processing(DSP) framework and extends fundamental signal processing structures and concepts (includ-ing filtering theory, Fourier transform, spectral decomposition, and frequency response) to suchdatasets by viewing them as signals indexed by graph nodes. Practical social science applica-tions include classification, compression, and linear prediction, enabling these large datasets tobe visualized using signal graphs and algebraic structures, and better understanding of such


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datasets for more informed decisions.

• Estimation and Control in Electrical Power Systems (Smart Grids):

Recent developments in smart grids place strict constraints on the underlying control tech-nologies, including the need for a dynamic and distributed state estimation approach. Sincethe problem is reminiscent of classical information fusion, this research focuses on applyingdistributed, non-linear signal processing approaches to smart and micro grids. While signalprocessing for linear systems has a rich theoretical framework, non-linear, distributed signalprocessing lacks a universal set of tools for analysis and design. The objective of the research isto unify the study of a broad class of non-linear signal processing algorithms that emerge fromstatistical estimation principles for high-dimensional and distributed dynamical systems, whereunderlying signals arise from non-Gaussian processes. Recently implemented variants of theKalman filter, random finite set methods, sequential Monte Carlo approaches, and particle flowmethods have shown promise though for scenarios where the state space has a relatively lowdimension. As the dimensions grow, the curse of state-space dimensionality and the associatedhigh computational cost lead to a rapid deterioration in their performance.

• Health Management of Mission Critical Infrastructure:

In modern cyber physical systems, the time of the failure is often determined by utilizing adegradation model derived from measurements of critical parameters of relevance to the sys-tem. Developing an accurate model for the degradation process is a key challenge in prognosticand health management of such systems. A unified degradation framework has yet not beendeveloped due to: (i) structural uncertainties in the state dynamics of the system, and; (ii)complex nature of the degradation process that is often non-linear and difficult to model sta-tistically. My research combines the multiple model adaptive estimation framework (MMAE)with degradation analysis to derive a set of candidate degradation models for failure predic-tion. Each degradation model is used to perform state analysis of the system. The resultinginnovations and likelihoods are then integrated to compute a set of adaptive weights, one foreach degradation model. With each update of the estimates obtained from the degradationmodels, the process is updated to account for the dynamic nature of the cyber physical system.The scope of this research includes a new degradation modeling approach, distributed stateestimation algorithms, and application to cyber-physical energy systems.

Previously, I have worked in the research areas of: (i) Computationally efficient technologies forblock banded, sparse matrices; (ii) Applications of 3D Gauss Markov random processes in imageand video processing; (iii) Multidiemsional Signal Processing related to data assimilation with theNavy layered ocean model (NLOM) (in collaboration with the Ocean Predictions Branch, NavalResearch Lab, NASA John C. Stennis Space Centre); (iv) Video Transcoding (in collaborationwith IBM, Markham), and; (iv) Genomic and Proteomic Signal Processing.

B2. Publications Where co-authored, most of my papers appear with researchers whom I have supervised, ex-cept those with Profs. S. Datta (York), M. Mandal (Alberta), A. Mohammadi (Concordia), andJ.M.F. Moura (CMU), who are faculty collaborators. The names of student collaborators areunderlined in the following publication list.

Year 2018

[126] M. Horeh, A. Asif, and H. Rivaz, Analytical Minimization-Based Regularized Sub-Pixel ShearWave Tracking for Ultrasound Elastography, accepted in IEEE Transactions on Ultrason-ics, Ferroelectrics, and Frequency Control, 2018.

[125] A. Amini, A. Mohammadi, and A. Asif, A Robust Event-Triggered Consensus Strategy for Lin-ear Multi-agent Systems with Uncertain Network Topology, accepted in IEEE InternationalConference on Acoustics, Speech, and Signal Processing (ICASSP), 2018.

[124] A. Amini, A. Mohammadi, and A. Asif, An Event-triggered Average Consensus Algorithm with


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Performance Guarantees for Distributed Sensor Networks, accepted in IEEE InternationalConference on Acoustics, Speech, and Signal Processing (ICASSP), 2018.

[123] A. Amini, A. Mohammadi, and A. Asif, An Event-triggered Average Consensus ResilientEvent-Triggered Consensus with Exponential Convergence in Multi-agent Systems, acceptedin American Control Conference (ACC), 2018.

[122] A. Al-Dulaimi, A. Mohammadi, and A. Asif, Interactive Multiple Model Particle Filters forGeneralized Degradation Path Modeling, accepted in Institute of Industrial and Systems Engineering Conference (IISE), 2018.

[121] A. Amini, A. Mohammadi, and A. Asif, CEASE: A Collaborative Event-triggered Average-consensus Sampled-data framework with Performance Guarantees for Multi-agent Systems,submitted to IEEE Transactions on Signal Processing, 2018.

[120] P. Khavari, A. Asif, and H. Rivaz, Non-Local Means Based Denoising for Ultrasound Radio-Frequency Data, submitted to IEEE International Ultrasonics Symposium (IUS), 2018.

Year 2017

[119] H. Sadrea, A. Mohammadi, A. Asif, and and K. N. Plataniotis, Distributed Graph-based Sta-tistical Approach for Intrusion Detection in Cyber-Physical Systems, IEEE Transactions onSignal and Information Processing over Networks, Manuscript of 30 pages (accepted),2017, Preprint available at IEEE Xplore, volume PP, Issue 99.

[118] H. Sadrea, A. Mohammadi, and A. Asif, Iterative Graph-based Filtering for Image Abstractionand Stylization, IEEE Transactions on Circuits and Systems, Manuscript of 10 pages(accepted), 2017, Preprint available at IEEE Xplore, volume PP, Issue 99.

[117] A. Amini, A. Asif, and A. Mohammadi, Gauranteed Cost LMI-Based Approach for Event-Triggered Average Consensus in Multi-Agent Networks, in Proceedings of IEEE Global Con-ference on Signal and Information Processing, (GlobalSIP), 2017.

[116] H. Sadrea, A. Mohammadi, and A. Asif, Event-based A Late Adaptive Graph-Based Edge-Aware Filtering with Iterative Weight Updating Process, in Proceedings of 60th IEEE In-ternational Midwest Symposium on Circuits and Systems, 2017, pp. 3306-3310.

[115] A. Amini, A. Mohammadi, and A. Asif, Event-based Consensus for a class of heterogeneousmulti-agent systems: An LMI approach, in Proceedings of IEEE International Conferenceon Acoustics, Speech, and Signal Processing (ICASSP), 2017, pp. 3306-3310.

[114] M. D. Horeh, A. Asif, and H. Rivaz, Regularized Tracking of Shear-Wave in Ultrasound Elas-tography, in Proceedings of IEEE International Conference on Acoustics, Speech, andSignal Processing (ICASSP), 2017, pp. 6264-6268

[113] A. Al-Dulaimi, A. Mohammadi, and A. Asif, Generalized Degradation Model for Health Man-agement of Mission Critical Systems, in Institute of Industrial and Systems EngineeringConference (IISE), 2017, pp. 1496-1501.

[112 H. Sadrea, A. Mohammadi, and A. Asif, Data-Adaptive Color Image Denoising and Enhance-ment Using Graph-Based Filtering, in IEEE International Symposium on Circuits andSystems (ISCAS), 2017, pp. 1-4.

[111] A. Al-Dulaimi, A. Mohammadi, and A. Asif, Generalized Degradation Model for Health Man-agement of Mission Critical Systems, in Institute of Industrial and Systems EngineeringConference (IISE), 2017, pp. 1496-1501.

[110] H. Sadrea, A. Mohammadi, and A. Asif, Data-driven Image Stylization Using Graph-based Fil-tering, in IEEE 30th Canadian Conference on Electrical and Computer Engineering(CCECE), 2017, pp. 1-4.


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Year 2016

[109] F. Foroozan, A. Asif and Y. Jin, Cramer-Rao Bound Improvement in Angle-Velocity Esti-mation with the Time Reversal MIMO Radar, IEEE Transactions on Aerospace andElectronic Systems, vol. 52, no. 1, pp. 137-154, 2016.

[108] Hany E.Z. Farag, A. Asif, and S. Saxena, A Robust Dynamic State Estimation for DroopControlled Islanded Microgrids, IEEE Electric Power Systems Research, vol. 140, no. 1,pp. 445-455, 2016.

[107] M. Sajjadieh and A. Asif, Compressive Sensing in Time Reversal Radars: Incoherency Anal-ysis, in Proceedings of IEEE Sensor Array and Multichannel Signal ProcessingWorkshop (SAM), vol. 140, no. 1, pp. 445-455, 2016.

[106] A. Asif and A. Mohammadi, Diffusion Strategies for Distributed Particle Filter Implementa-tions, in Proceedings of IEEE International Conference on Acoustics, Speech, andSignal Processing (ICASSP), pp. 1105-1109, 2016.

[105] V. Movahedi, A. Asif, Z. Hu, and Y. Hu, A Novel Development Infrastructure for Scalable VideoCoding/Transcoding Applications, in Proceedings of IEEE Data Compression Conference,2016.

[104] V. Movahedi, A.Asif, I. Amer, Al. Chin, Z. Hu, and Y. Hu Scalable Distributed Frameworkfor HEVC Coding/transcoding, IEEE International Conference on Image Processing(ICIP), 2016.

Year 2015

[103] M. Sajjadieh and A. Asif, Compressive Sensing Time Reversal MIMO Radar: Joint Direc-tion and Doppler Frequency Estimation, IEEE Signal Processing Letters, vol. 22, no. 9,pp.1283-1287, Feb. 2015.

[102] A. Mohammadi and A. Asif, Distributed Consensus + Innovation Particle Filtering for Bear-ing/Range Tracking With Communication Constraints, IEEE Transactions on Signal Pro-cessing, vol. 63, no. 3, Feb. 2015, pp. 620-635.

[101] A. Mohammadi and A. Asif, Consensus-Based Distributed Dynamic Sensor Selection, ElsevierSignal Processing, vol. 108, Mar. 2015, pp. 558-575.

[100] S. Saxena, A. Asif, and H. Farag, Nonlinear, Reduced Order, Distributed State Estimationin Microgrids, in Proceedings of IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP), 2015. pp. 2874-2879.

[99] M. Sajjadieh and A. Asif, Joint Time Reversal and Compressive Sensing based LocalizationAlgorithms for Multiple-Input Multiple-Output Radars, in Proceedings of IEEE Interna-tional Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2015.pp. 2354-2359.

Year 2014

[98] X. Zhong, A. Mohammadi, A. B. Premkumar and A. Asif, A Distributed Particle FilteringApproach for Multiple Acoustic Source Tracking Using an Acoustic Vector Sensor Network,Elsevier Signal Processing, vol. 108, Sep. 2014. pp. 589-603.

[97] A. Asif, A. Mohammadi, and S. Saxena Nonlinear State Estimation Algorithms for ElectricalPower Grid, in Proceedings of IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP), 2014. pp. 7609-7614.

[96] A. Asif and A. Mohammadi, Distributed Particle Filter Implementations with Minimal Con-


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sensus Runs, in Proceedings of IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP), 2014. pp. 1105-1109.

[95] X. Zhong, A. Mohammadi, A. B. Premkumar and A. Asif, A Distributed Particle Filter forAcoustic Source Tracking Using an Acoustic Vector Sensor Network, in Proceedings of IEEENinth International Conference on Intelligent Sensors, Sensor Networks and In-formation Processing (ISSNIP), 2014. pp. 1-5.

Year 2013

[94] A. Asif and A. Mohammadi, Posterior Cramer-Rao Bounds for Full and Reduced-order Dis-tributed Bayesian Estimation, IEEE Transactions on Aerospace and Electronic Sys-tems, 2013, pp. 1105-1109.

[93] A. Mohammadi and A. Asif, Distributed Particle Filter Implementation with Intermittent/Irregular Consensus Convergence, in IEEE Transactions on Signal Processing, vol. 61,no. 10, 2013. pp. 2572-2587.

[92] A. Mohammadi and A. Asif, Decentralized Conditional Posterior Cramer-Rao Lower Boundfor Nonlinear Distributed Estimation, in IEEE Signal Processing Letters, vol. 20, no. 2,2013. pp. 165 - 168.

[91] A. Asif and A. Mohammadi, Nonlinear State Estimation Algorithms for Electrical Power Grip,submitted to 2014 IEEE International Conference on Acoustics, Speech, and SignalProcessing (ICASSP). in review.

[90] A. Mohammadi and A. Asif, Full Order Nonlinear Distributed Estrimation in IntermittentlyConnected Networks, in Proceedings of IEEE International Conference on Acoustics,Speech, and Signal Processing (ICASSP), 2013. pp. 6327-6331.

[89] A. Mohammadi and A. Asif, Decentralized Computation of the Conditional Posterior Cramer-Rao Lower Bound: Application to Adaptive Sensor Selection, in Proceedings of IEEE Inter-national Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013.pp. 5278-5282.

[88] F. Foroozan, A. Asif, and R. Boyer, Angular Resolution Limit for The Time Reversal MIMORadar, in Proceedings of IEEE International Conference on Acoustics, Speech, andSignal Processing (ICASSP), 2013. pp. 4125-4129.

[87] X. Zhong, A. Mohammadi, W. Wang, A. B. Premkumar and A. Asif, Acoustic Source Trackingin a Reverberant Environment Using a Pairwise Synchronous Microphone Network, in Proceed-ings of IEEE International Conference on Information Fusion, Istanbul, Turkey, 2013.

[86] A. Mohammadi, Amir Asif, X. Zhong, and A.B. Premkumar, Decentralized Bayesian Estima-tion with Quantized Observations: Theoretical Performance Bounds, in Proceedings of IEEEInternational Conference on Distributed Computing in Sensor Systems (DCOSS),Cambridge, MA, 2013. pp. 149 - 156.

Year 2012

[85] A. Mohammadi and A. Asif, Consensus-based Particle Filter Implementations for DistributedNonlinear Systems, Chapter 9, Nonlinear Estimation and Applications to IndustrialSystems Control, Nova Science Publishers, 2012. 28 pages.

[84] A. Mohammadi and A. Asif, Decentralized Sensor Selection based on the Distributed Pos-terior Cramer-Rao Lower Bound, in Proceedings of IEEE International Conference onInformation Fusion, Singapore, 2012. (Honourable mention as one of the 10 best studentpapers).

[83] A. Mohammadi and A. Asif, Theoretical Performance Bounds for Reduced-order Linear andNonlinear Distributed Estimation, in Proceedings of IEEE Global Telecommunications


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Conference (GLOBECOM), Anaheim, CA, 2012. pp. 3929-3935.

[82] F. Foroozan and A. Asif, Information Theoretic Bounds for Angle-Doppler Estimation in TimeReversal MIMO Radars, in Proceedings of IEEE Global Telecommunications Conference(GLOBECOM), Anaheim, CA, 2012. pp. 3999-4005.

[81] M. Sajjadieh and A. Asif, Uniform Rectangular Time Reversal Arrays: Joint Azimuth andElevation Estimation, in Proceedings of IEEE Statistical Signal Processing Workshop(SSP), Ann Arbor, MI, 2012.

[80] A. Mohammadi and A. Asif, Distributed State Estimation for Large-scale Nonlinear Systems:A Reduced Order Particle Filter Implementation, in Proceedings of IEEE Statistical SignalProcessing Workshop (SSP), Ann Arbor, MI, 2012.

[79] A. Mohammadi and A. Asif, Full Order Distributed Particle Filters for Intermittent Connec-tions: Feedback From Fusion Filters to Local Filters Improves Performance, in Proceedings ofIEEE Statistical Signal Processing Workshop (SSP), Ann Arbor, MI, 2012.

[78] F. Foroozan and A. Asif, Time Reversal MIMO Radar for Angle-Doppler Estimation, in Pro-ceedings of IEEE Statistical Signal Processing Workshop (SSP), Ann Arbor, MI, 2012.

[77] P. Pattaraintakorn, A. Asif and N. Cercone, Digital Image Processing to Visualize and EvaluateER, PgR and Ki-67 as Biomarkers for Breast Cancer: An Initial Study, in Proceedings ofAdvances in Health Informatics Conference, Toronto, 2012.

[76] A. Mohammadi and A. Asif, Distributed Posterior Cramer-Rao Lower Bound for NonlinearSequential Bayesian Estimation, in Proceedings of IEEE Sensor Array and MultichannelSignal Processing Workshop (SAM), Hoboken, NJ, 2012.

[75] A. Mohammadi and A. Asif, A Constraint Sufficient Statistics based Distributed Particle Fil-ter for Bearing Only Tracking, in Proceedings of IEEE International Conference onCommunications Symposium (ICC), Ottawa, Canada, pp. 285-288, 2012.

Year 2011

[74] F. Foroozan and A. Asif, Active Array Source Localization with Time Reversal, IEEE Trans-actions on Signal Processing, vol. 59, no. 6, pp. 2655-2668, Jun. 2011.

[73] F. Foroozan and A. Asif, On Time Reversal: Imaging Algorithms and Performance Evaluation,Proceedings of the IEEE. Manuscript of 64 pages, (initial white paper accepted), 2010. UnderReview.

[72] A. Mohammadi and A. Asif, A Consensus/Fusion based Distributed Implementation of the Par-ticle Filter, in Proceedings of International Workshop on Computational Advancesin Multi-Sensor Adaptive Processing (CAMSAP), San Juan, Puerto Rico, pp. 241-244,2011.

[71] A. Mohammadi and A. Asif, Consensus-Based Distributed Unscented Particle Filter, in Pro-ceedings of IEEE Workshop on Statistical Signal Processing (SSP), Nice, France,pp. 237-240, 2011.

[70] F. Foroozan and A. Asif, Y. Jin, and J. M. F. Moura, Direction Finding Algorithms for TimeReversal MIMO Radars, in Proceedings of IEEE Workshop on Statistical Signal Pro-cessing (SSP), Nice, France, pp. 433-437, 2011.

[69] M. Sajjadieh and A. Asif, Unsupervised Time Reversal Based Microwave Imaging for BreastCancer Detection, in Proceedings of 24th IEEE Canadian Conference on Electricaland Computer Engineering (CCECE), pp. 1411-1415, vol. 1, 2011.

Year 2010


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[68] F. Foroozan and A. Asif, Time Reversal Ground Penetrating Radar: Range Estimation Algo-rithm with Cramer Rao Bounds, IEEE Transactions on GeoScience and Remote Sens-ing, vol. 48, no. 10, pp. 3698-3708, Oct. 2010.

[67] F. Foroozan and A. Asif, Time Reversal Direction of Arrival Estimation with Cramer-RaoBound Analysis, in Proceedings of the IEEE Global Telecommunications Conference(GLOBECOM), pp. 1-6, 2010.

[66] F. Foroozan and A. Asif, Cramer-Rao Bound for Time Reversal Active Array Direction ofArrival Estimators in Multipath Environments, in Proceedings of the IEEE InternationalConference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2646-2649,2010.

[65] F. Foroozan and A. Asif, Cramer-Rao Lower Bound for Time Reversal Range Estimators inN -multipath Scattering Environments, in Proceedings of the IEEE International Con-ference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 3978-3981, 2010.

Year 2009

[64] M. Liscombe and A. Asif, Enhancement of the Modified P-Spectrum for Use in Real-timeQRS Complex Detection, in Proceedings of the IEEE International Conference onBiomedical Engineering, vol. 1, pp. 274-278, 2009.

[63] F. Foroozan, M. Sajjadieh, and A. Asif, On Breast Cancer Detection using Time ReversalSignal Processing, in Proceedings of the IEEE International Multitopic Conference(INMIC), vol. 1, pp. 120-124, 2009. Best paper award.

[62] M. Liscombe and A. Asif, A New Method for Instantaneous Signal Period Identification byRepetitive Pattern Matching, in Proceedings of the IEEE International MultitopicConference (INMIC), vol. 1, pp. 452-456, 2009.

[61] A. Mohammadi and A. Asif, Distributed Particle Filtering for Large Scale Dynamical Systems,in Proceedings of the IEEE International Multitopic Conference (INMIC), vol. 1,pp. 1-5, 2009.

Year 2008

[60] A. Asif and M. Mandal, Solutions to Continuous-time and Discrete-time Signals and Systems,Cambridge University Press, Instructor Manual with Solutions to over 500 problems, 2008.

[59] F. Foroozan and A. Asif, Effect of Multipaths on N-ary Time Reversal Classifiers, in Proceed-ings of the IEEE International Symposium in Signal Processing and InformationTechnology (ISSPIT), vol. 1, pp. 309-314, Dec. 16-19, 2008.

[58] F. Foroozan and A. Asif, Time Reversal: Algorithms for M-ary Target Classification UsingArray Signal Processing, in Proceedings of the IEEE Military Communication Con-ference (MILCOM), vol. 1, pp. 1-7, Nov. 17-19, 2008.

[57] F. Foroozan and A. Asif, N-Ary Maximum Likelihood Target Detection with Time Reversal, inProceedings of the IEEE International Symposium on Information Theory (ISIT),pp. 1873-1877, Jul. 6-11, 2008.

Year 2007

[56] A. Asif and M. Mandal, Continuous-time and Discrete-time Signals and Systems, CambridgeUniversity Press, 880 pages, Aug. 2007.Catalog URL: http://www.cambridge.org/uk/catalogue/catalogue.asp?isbn=9780521854559

[55] A. Asif, Applications of Noncausal Gauss Markov Random Field Models in Image and Video


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Processing, Advances in Imaging and Electron Physics, Elsevier Science, vol. 145,pp. 2-54, Mar. 2007. (invited but peer reviewed).

[54] A. Asif, U. T. Nguyen, and G. Xu, Scalable Video Multicast over MANETs, in Proceedingsof the IEEE International Workshop on Multimedia Signal Processing (MMSP),pp. 403-408 Jan. 15, 2007.

Year 2006

[53] A. Asif and M. G. Kouras, Scalable Video Codec by Noncausal Prediction, Cascaded VectorQuantization, and Conditional Replenishment, IEEE Transactions on Multimedia, vol. 8,no. 1, pp. 19-31, Aug. 2006.

[52] A. Asif and Q. Bai, Robust Detection Algorithms for Time Reversal Matched Field Processing,in Proceedings of the 6th IEEE International Symposium in Signal Processing andInformation Technology (ISSPIT), pp. 70-75, Aug. 2006.

[51] A. Asif, Q. Bai, and J. M. F. Moura, Time Reversal Matched Field Processing: An AnalyticalJustification, in in Proceedings of the 6th IEEE International Symposium in SignalProcessing and Information Technology (ISSPIT), pp. 81-86, Aug. 2006.

[50] U. T. Nguyen, A. Asif, and X. Xiong, Multirate-aware Multicast Routing in MANETs, inProceedings of the 3rd IEEE International Conference on Mobile Ad-hoc andSensor Systems, pp. 554-557, Oct. 2006.

[49] H. Masoom, S. Datta, A. Asif, G. Wu and L. Cunningham, A Fast Algorithm for DetectingFrame Shifts in DNA sequences, in Proceedings of the IEEE Symposium on Computa-tional Intelligence in Bioinformatics and Computational Biology (CIBCB), pp. 1-8,Toronto, Sep. 2006.

Year 2005

[48] A. Asif and J. M. F. Moura, Block Matrices with L-Block Banded Inverse: Inversion Algo-rithms, IEEE Transactions on Signal Processing, vol. 53, no. 2, pp. 630-642, Feb. 2005.

[47] A. Asif, A Practical Software Only Noncausal Video Codec for Low Bit Rate Video Appli-cations, IEEE Canadian Journal of Electrical and Computer Engineering, SpecialIssue on Multimedia Computing and Communications, vol. 30, no. 2, pp. 63-71, Spring2005. (invited but peer reviewed).

[46] A. Asif, U. T. Nguyen, G. Xu, and B. Song, Streaming Video with Bandwidth Adaptations andError Concealment for Low Bit Rate Live Wireless Applications, in Proceedings of the IEEEInternational Conference in Acoustics, Speech, and Signal Processing (ICASSP),vol. 2, pp. 313-317, Mar. 18-23, 2005.

[45] S. Datta and A. Asif, A Fast DFT based Gene Prediction Algorithm for Identification of ProteinCoding Regions, in Proceedings of the IEEE International Conference in Acoustics,Speech, and Signal Processing (ICASSP), vol. 5, pp. 653-656, Mar. 18-23, 2005.

[44] F. Xu, A. Asif and U. T. Nguyen, Real Time Video for Multimedia Applications using ErrorResilient Scalable Compression, in Proceedings of IEEE International Conference in Acoustics,Speech, and Signal Processing, ICASSP ’05, Philadelphia, PA, Mar. 19-24, 2005.

Year 2004

[43] A. Asif, Fast Rauch-Tung-Striebel Smoother based Image Restoration for Noncausal Images,IEEE Signal Processing Letters, vol. 11, no. 3, pp. 371-75, Mar. 2004.

[42] A. Asif, Fast Implementations of Kalman Bucy filter for Satellite Data Assimilation, IEEE


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Signal Processing Letters, vol. 11, no. 2, pp. 235-40, Feb. 2004.

[41] A. Asif, Multimedia and Cooperative Learning for Online Teaching of Signal Processing Tech-niques in Communications, IEEE Signal Processing Letters, vol. 11, no. 2(2), pp. 278-82,Feb. 2004.

[40] S. Datta, A. Asif and H. Wang, Prediction of Protein Coding Regions Using Fourier Spec-tral Characteristics, in Proceedings of the IEEE Sixth International Symposium onMultimedia Software Engineering (Special session in Bioinformatics), pp. 160-163,Dec. 13-15, 2004.

[39] S. Datta and A. Asif, DFT based DNA splicing algorithms for prediction of protein cod-ing regions, in Proceedings of the IEEE/Asilomar Conference on Signals, Systems,and Computers, (Sponsored by IEEE Signal Processing Society and US Naval PostgraduateSchool), vol. 1, pp. 45-49, Nov. 7-10, 2004.

[38] A. Asif, Kalman Bucy filter based Data Assimilation with Navy Layered Ocean Model, inProceedings of IEEE International Conference in Acoustics, Speech, and SignalProcessing (ICASSP), vol. 3, pp. 113-116, May 2004.

[37] M. G. Kouras and A. Asif, Noncausal Predictive Video Codec offering Hierarchical QoS, inProceedings of IEEE International Conference in Acoustics, Speech, and SignalProcessing (ICASSP), vol. 3, pp. 737-740, May 2004.

Prior to Year 2004

[36] A. Asif and J. M. F. Moura, Data Assimilation in Large Time Varying Multidimensional Fields,IEEE Transactions on Image Processing, vol. 8, no. 7, pp. 1593 - 1607, Nov. 1999.

[35] A. Asif and J. M. F. Moura, Image Codec by Noncausal Prediction, Residual Mean Removal,and Cascaded Vector Quantization, IEEE Transactions on Circuits and Systems forVideo Technology, vol. 6, no. 1, pp. 42-55, Feb. 1996.

[34] A. Asif, Multimedia Learning Objects for Digital Signal Processing in Communications, inProceedings of IEEE International Conference in Acoustics, Speech, and SignalProcessing (ICASSP), vol. 3, pp. 781-784, Apr. 2003.

[33] A. Asif and J. M. F. Moura, Fast Inversion of L-Block Banded Matrices and their Inverses,in Proceedings of IEEE International Conference in Acoustics, Speech, and SignalProcessing (ICASSP), vol. 2, pp. 1369-1372, May 2002.

[32] A. Asif and J. Nesbit, Cooperative and Online Learning in Signal Processing, in Proceedingsof IEEE International Conference in Acoustics, Speech, and Signal Processing,ICASSP’01, Phoenix, AZ, vol. 5, pp. 2697-2700, May 2001.

[31] F. Xu, A. Asif and U. T. Nguyen, Real Time Video for Multimedia Applications using ErrorResilient Scalable Compression, in IEEE International Conference in Acoustics, Speech,and Signal Processing, ICASSP’05, Philadelphia, PA, 2005.

[30] H. Wang, A. Asif and S. Datta, A Fast DFT based algorithms for Identification of Protein Cod-ing Regions, in Proceedings of IEEE International Conference in Acoustics, Speech,and Signal Processing (ICASSP), vol. 5, pp. 653-657, 2005.

[29] A. Asif, Multimedia Learning Objects for Digital Signal Processing in Communications, inProceedings of IEEE International Conference on Multimedia and Expo (ICME),vol. 2, pp. 157-160, July 2003. (Invited paper).

[28] A. Asif and J. M. F. Moura, Inversion of Block Matrices with Block Banded Inverses: Appli-cation to Kalman-Bucy filtering, in Proceedings of IEEE International Conference inAcoustics, Speech, and Signal Processing (ICASSP), vol. 1, pp. 608-611, May 2000.

[27] A. Asif, J. M. F. Moura, H. Hurlburt, and T. Townsend, Kalman Bucy filter Based Data Assim-


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ilation with NRL Layered Ocean Model, in Proceedings of Third WMO InternationalSymposium on Assimilation of Observations in Meteorology and Oceanography,Quebec’ City, QC, Jun. 1999.

[26] A. Asif, J. M. F. Moura, J. Johnson, R. Johnson, D. Padua, V. Prasanna, and M. Veloso,SPIRAL: Automatic Implementation of Signal Processing Algorithms, in Proceedings ofDARPA/NSF OPAL/OPAAL PI Workshop on Optimized Portable Applications,Algorithms, and Libraries, vol. 2, pp. 64-70, Jan. 1999.

[25] A. Asif and J. M. F. Moura, Fast Recursive Reconstruction of Large Time Varying Multidimen-sional Fields, in Proceedings of IEEE International Conference in Acoustics, Speech,and Signal Processing (ICASSP), vol. 4, pp. 3037-40, Apr. 1997.

[24] A. Asif, Quadtree Cascaded Vector Quantization, in Proceedings of IEEE InternationalMultitopic Conference (INMIC), Islamabad, Pakistan, vol. 1, pp. 246-250, Jun. 1997.

[23] R. S. Jasinschi, J. M. F. Moura and A. Asif, Video Compression via Constructs in Proceed-ings of IEEE International Conference in Acoustics, Speech, and Signal Processing(ICASSP), pp. 2165-68, May 1995.

[22] A. Asif and J. M. F. Moura, Assimilation of Satellite Data in Beta-plane Ocean CirculationModel in Proceedings of IEEE International Conference in Acoustics, Speech, andSignal Processing (ICASSP), pp. 2789-93, May 1995. (Invited Paper).

[21] A. Asif, Fast Recursive Algorithms for large Time Varying Multidimensional Fields, CarnegieMellon University Press, August 1997.

Technical Reports

[20] Shivam Saxena, MASc, Electrical Engineering and Computer Science, Distributed State Esti-mation For Smarter Electric Power Grids, Defended: May 18, 2015.

[19] Arash Mohammadi, PhD, Electrical Engineering and Computer Science, Distributed Imple-mentations Of The Particle Filter with Performance Bounds, Defended: Nov. 21, 2013.

[18] Foroohar Foroozan, PhD, Computer Science and Engineering, Active Array Target Localizationusing Time Reversal Signal Processing, Defended: Jan. 15, 2011.

[17] Mohammad El-Diasty, PhD, Earth and Space Science (in progress), A Neuro-Kalman Naviga-tion Method for GPS-Aided MEMS-Based INS for Vehicular Navigation, Co-supervised withSpiros Pagiatakis (Principle Supervisor). Defended: Apr. 15, 2010.

[16] Neha Durwas, M.Sc., Computer Science and Engineering, “Decentralized Diffusive Configura-tion for Target Detection in Wireless Sensor Networks, Defended: Sep. 2008

[15] M. Kouras and A. Asif, High Compression Video Codec for Wireless Communications, Tech-nical Report CS-2003-13, Computer Science and Engineering, York University. Submitted asa journal paper, see [J2].

[14] O. M. Belgorodskii and A. Asif, Frequency Domain Analysis of DNA Sequences, TechnicalReport CS-2003-12, Computer Science and Engineering, York University.

[13] A. Ye and A. Asif, A J2ME Implementation of H.263 Decoder, Technical Report CS-2003-11,Computer Science and Engineering, York University.

[12] A. Asif, Labs for Digital Communications using Matlab, Lab manual, Computer Science andEngineering, York University, May 2003.

[11] A. Asif and J. M. F. Moura, Data Assimilation in Ocean Prediction II, Ocean AtmosphereSpace Fiscal Year 1999 Collections, Office of Naval Research (ONR), Arlington, VA, December1999.

[10] A. Asif, OCAD: A Fast Recursive Algorithm for Assimilation of Satellite Altimetry in Ocean


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Circulation models, Technical Report CMU-ECE-97-054, Carnegie Mellon University, Pitts-burgh, PA, June 1999. Appeared as [C7].

[9] A. Asif and J. M. F. Moura, Data Assimilation in Ocean Prediction I, Ocean Atmosphere SpaceFiscal Year 1998 Collections, Office of Naval Research (ONR), Arlington, VA, December 1998.

[8] A. Asif, Satellite Data Assimilation in Beta Plane Ocean Circulation Models, Video CMU-ECE-97-462, Carnegie Mellon University, Pittsburgh, PA, May 1998.

[7] Mohammad Sajjadieh, “Breast Cancer Detection using Time Reversal,” M.Sc. thesis, Com-puter Science and Engineering, York University, Sep. 2010. Adviser: A. Asif.

[6] Mohammad El-Diasty, “A Neuwo-Kalman Navigation Method for FPS-Aided MEMS INS forVehicular Navigation,” Ph.D thesis, Earth and Space Science and Engineering, York Univer-sity, Apr. 2010. Adviser: S. Pagiatakis.

[5] (Frank) Guohua Xu, “NPR/VQR: A Real Time Video-on-Demand Server for Wireless Com-munications,” M.Sc. thesis, Computer Science, York University, Nov. 2006. Adviser: A. Asif.

[4] Qian Bai, “Time Reversal and Matched Field Processing,” M.Sc. thesis, Computer Science,York University, Jun. 2006. Adviser: A. Asif.

[3] Haoyuan Wang, “DFT based Splicing Algorithms for Prediction of Protein Coding Regions,”M.Sc. thesis, Computer Science, York University, Aug. 30, 2004. Adviser: A. Asif.

[2] A. Asif, Fast Recursive Algorithms for large Time Varying Multidimensional Fields, Ph.D.thesis, Carnegie Mellon University, August 1996.

[1] A. Asif, Noncausal Codec with Residual Quadtree Cascaded Vector Quantization, M.S. thesis,Carnegie Mellon University, May 1993.

B3. InvitedPresentations

− Panel Speaker, IEEE International Conference on Acoustics, Speech, and Signal Processing(ICASSP). Title: AE Best Practices: Significance of results versus conceptual novelty; marginalcontributions. March 23, 2016.

− Presentation, IEEE International Conference on Acoustics, Speech, and Signal Processing,Shanghai, China. Title: Consensus-Based Distributed Dynamic Sensor Selection, March 24,2016.

− Presentation, IEEE International Conference on Acoustics, Speech, and Signal Processing,Brisbane , Australia. Title: Joint Time Reversal and Compressive Sensing based LocalizationAlgorithms for Multiple-Input Multiple-Output Radars, April 20, 2015.

− Distinguished Speaker, Faculty of Engineering and Architectural Sciences, Ryerson Univer-sity. Title: Joint Time Reversal And Compressive Sensing Based Localization Algorithms forMultiple-input Multiple-output Antenna Systems. October 10, 2014.

– Invited Keynote Speaker, The York Circle, Signal Processing: The Enabling Knowledge forModern Era Advancement, Toronto, Canada, May 4, 2013.

– Invited Keynote Speaker, 10th IASTED International Conference on Visualization, Imagingand Image Processing (Computational Techniques for Early Stage Breast Cancer Detection)Banff, Canada, July 3-5, 2012.

– Computer Science Colloquim (Time Reversal Array Imaging Algorithms: Application to BreastCancer Detection) University of Northern British Columbia, Feb. 11, 2010.

– Invited Presentation (Early Breast Cancer Detection using Time Reversal) South Lake Hospi-tal, New Market, May. 14, 2009.

– Invited Presentation (Application of Time Reversal Signal Processing in Radiotherapy) Quan-titative Cancer Modelling: Mathamtical Models, Imaging and Bioinformatics Session, Mathe-


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matical and Quantitative Oncolgy Workshop, Fields Institute, University of Toronto, Aug. 25,2008.

– Invited Seminar (Breast Cancer Detection using MRI based Signal Processing), IBM, T.J.Watson,NY, Jan. 24, 2008.

– Invited Seminar (Application of Time Reversal Signal Processing in Radiotherapy), IBM,Markham, ON, Sep. 12, 2007.

– Invited Graduate Seminar (Time Reversal Matched Field Processing: Applications in Radio-therapy, Defence, and Communications), Simon Fraser University, Surrey, BC, Aug. 12, 2006.

– Invited Graduate Seminar (Applications of Noncausal Gauss Markov Random Processes inMultidimensional Signal Processing), Department of Electrical and Computer Engineering,University of Alberta, Calgary, AB, Nov. 2004.

– Science Speakers Bureau: Seminar (Decoding the Human Genome), Multiple Presentations atHigh Schools, On behalf of Faculty of Science and Engineering, York University, (2003 - 04).

– Invited Presentation/Paper (Multimedia Learning Objects for Digital Signal Processing inCommunications) IEEE International Conference on Multimedia and Expo, ICME’03, Balti-more, Maryland, Jul. 2003.

– Graduate Seminar Series (Applications of Gauss Markov Random Fields in Signal Processing),Department of Electrical Engineering, California State University, Pasadena, CA, Mar. 2002.

– Invited Presentation (Perceptual Video Coding), Advanced Systems Institute (ASI), Vancou-ver, BC, Jan. 2002.

– Invited Presentation (Signal Processing in Acoustic Applications), Ocean Dynamics and Predic-tion Branch, Naval Research Laboratory (NRL), John C. Stennis Space Center, MS, Jan. 1999.

– Invited Presentation/Paper (Assimilation of Satellite Data in Beta-plane Ocean CirculationModel) in a special session on Data Assimilation in IEEE International Conference in Acoustics,Speech, and Signal Processing, ICASSP, Detroit, MI, May 1999.

– Invited Seminar (Image and Video Codecs for Telecommunications), Carnegie Mellon Univer-sity, Information Networking Institute (INI), Pittsburgh, PA, Nov. 1998.

– Invited Graduate Seminar (Video Codec for Multimedia Applications), Department of Electri-cal and Computer Engineering, McMaster University, Hamilton, ON, Feb. 1998.

– Invited Presentation (Data Assimilation with the Navy Layered Ocean Model), Ocean Dynam-ics and Prediction Branch, Naval Research Laboratory (NRL), John C. Stennis Space Center,MS, Jan. 1998.

B4. ProfessionalService

− General co-chair, Symposium on Distributed Optimization and Resource Management overNetworks, 5th IEEE Global Conference on Signal and Information Processing (Global SIP),Nov. 14-16, 2017.

− External Reviewer, Graduate Program, School of Computer Science, University of Windsor.Date of visit: Mar. 30-31, 2015.

– Associate Editor, IEEE Transactions on Signal Processing (2013 - date).

– Associate Editor, IEEE Signal Processing Letters (2009 - 2013).

– Senior Member, Institute of Electronics and Electrical Engineers (IEEE) (2002 - date).

– Professional Engineer, Professional Engineers Ontario (PEO) (2004 - date).

– SHARCNET Chairs Selection Committee, 2008-09 & 2009-10

– Panel Chair, Ontario Graduate Scholarship (2007 - 2008).


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– Associate Editor, IEEE Signal Processing Letters (2002 - 2006).

– Publication Chair, IEEE International Conference on Multimedia and Expo (ICME 2006).

– Technical Member, International Program Committee, IASTED International Conference onInternet and Multimedia Systems and Applications (IMSA 2006).

– Session Chair, Biometrics, IEEE International Conference on Acoustics, Speech, and SignalProcessing, ICASSP 2005, Philadelphia, PA, 2005.

– Executive Member, Engineering and Applied Science Committee, Science Council of BritishColumbia (SCBC), Vancouver, B.C. (1999 - 2002).

– Advisory Member, New Media Innovation Centre (NewMIC), Vancouver, B.C. (2000 - 2002).

– Technical Committee, International Conference on Advances in Pattern Recognition, Calcutta,India, Dec. 10-13, 2003.

− Refereed articles for IEEE the Transactions on Signal Processing, IEEE Transactions on Im-age Processing, IEEE Transactions on Multimedia, IEEE Signal Processing Letters, IEEETransactions on Education, IEEE Transactions on Circuits and Systems for Video Technology,International Conference on Advances in Pattern Recognition, and IEEE Computer SocietyConference on Computer Vision and Pattern Recognition. (2002 - onwards)

− Reviewer for NSERC Discovery Grants and NSERC Strategic Grants (2006-07, 2007-08, 2008-09, 2009-10, 2014-15, and 2015-16).

− Invited reviewer for the IEEE International Conference on Acoustics, Speech, and Signal Pro-cessing (ICASSP), 2006-07, 2008-09, 2009-10, and 2010-11.

B5. GraduateSupervision

B5a. Principal Supervisor

– Mufleh Al-Shatnawi, Postdoctoral Fellow (Deep Learning in Video Networks), Department ofElectrical and Computer Engineering, Concordia University, In progress.

– HamidReza Sadreazami, Postdoctoral Fellow (Graph Signal Processing in Cloud Computingand Distributed Social Networks), Department of Electrical and Computer Engineering, Con-cordia University, In progress.

– Morteza Mirzaei, PhD (Ultrasound Elastography), Department of Electrical and ComputerEngineering, Concordia University, In progress.

– Soroosh Shahtalebi, PhD (MIMO Time Reversal Tracking and Localization Algorithms), De-partment of Electrical and Computer Engineering, Concordia University, In progress.

– Sobhan Goudarzi, PhD, Department of Electrical and Computer Engineering, Concordia Uni-versity, In progress.

– Amir Amini, PhD (Distributed Agent Networks: Autonomous Systems), Department of Elec-trical and Computer Engineering, Concordia University, In progress.

– Ali Al-Dulaimi, PhD (Health Managemnt of Cyber Physical Systems), Department of Electricaland Computer Engineering, Concordia University, In progress.

– Mahsa Mir, MASc Student (Signal Processing for Rehabilitation and Assistive System), De-partment of Electrical and Computer Engineering, Concordia University, In progress.

– Parviz Khavari, MASc (Ultrasound Elastography), Department of Electrical and ComputerEngineering, Concordia University, In progress.

– Mahmoud Derakhshan, MASc (Ultrasound Elastography), Department of Electrical and Com-puter Engineering, Concordia University, Defended: Sep. 8, 2017.

– Vida Movahedi. Post-Doc (Video Transcoding), Department of Electrical Engineering and


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Computer Science, York University, 2014 - 2016.

– Mohammad Sajjadieh, PhD, Department of Electrical Engineering and Computer Science, YorkUniversity, “Time Reversal Compressive Sensing MIMO Radar Systems”, Graduated: January2017.

– Shivam Saxena, MASc, Department of Electrical Engineering and Computer Science, YorkUniversity, “Distributed State Estimation for Smarter Electric Power Grids”. Graduated: July2015. Best EECS MASc thesis award.

– Noura Hanitara, MASc, Department of Electrical Engineering and Computer Science, YorkUniversity, “Compressive Sensing and Time Reversal Beamforming Approaches for UltrasoundImaging”. Graduated: July 2015.

– Arash Mohammadi, Post-Doc (part-time), Department of Electrical Engineering and Com-puter Science, York University, 2014 - 2015. Accepted a Faculty position with CIISE, ENCS,Concordia University.

– Foroohar Foroozan, Post Doc (part time), Computer Science and Engineering, Completed,2013-14. Working as a Postdoc with ECE, University of Toronto.

– Nariman Farad, PhD, Department of Electrical Engineering and Computer Science, York Uni-versity, Defended 2015. Selected as Post-Doc at ECE, Stanford University as NSERC Post-Doctoral Fellow.

– Arash Mohammadi, PhD, Computer Science and Engineering, “Distributed Implementations ofthe Particle Filter with Performance Bounds,” Nov. 22, 2013. 2014 EECS Best DissertationAward.

– John van Nostrand, PhD Chemistry (in progress), “Generation of 3D Ion Mobility Mass Spec-trometry Spectra,” Co-supervised with K. W. Michael Siu (Principle Supervisor). In progress.

– Xiangdong An, Post Doc, Computer Science and Engineering, 2012-13.

– Wendy Ashlock, PhD, Computer Science and Engineering, “Using Signal Processing, Evolu-tionary Computation, and Machine Learning to Identify Transposable Elements in Genomes”.Defended: August 22, 2013.

– Foroohar Foroozan, PhD, Computer Science and Engineering, “Active Array Target Localiza-tion using Time Reversal Signal Processing,” Defended: Jan. 15, 2011.

– Mohammad Sajjadieh, M.Sc., Computer Science and Engineering, “Breast Cancer Detectionusing Time Reversal,” Defended: Oct. 19, 2010.

– Mohammad El-Diasty, PhD, Earth and Space Science (in progress), “A Neuro-Kalman Nav-igation Method for GPS-Aided MEMS-Based INS for Vehicular Navigation,” Co-supervisedwith Spiros Pagiatakis (Principle Supervisor). Defended: Apr. 15, 2010.

– Neha Durwas, M.Sc., Computer Science and Engineering, “Decentralized Diffusive Configura-tion for Target Detection in Wireless Sensor Networks,” Defended: Sep. 2008

– Frank Guohua Xu, M.Sc. Computer Science, “NPR/VQR: A Real Time Video-on-DemandServer for Wireless Communications,”, Nov. 2006.

– Qian Bai, M.Sc. Computer Science , “Time Reversal and Matched Field Processing,” Jun. 2006.

– Haoyuan Wang, M.Sc. Computer Science, “DFT based Splicing Algorithms for Prediction ofProtein Coding Regions”, Defended: Aug. 30, 2004.

B5b. Supervisory Committees

– Sepehr Khodadadi, PhD ECE (in progress), Department of Electrical and Computer Engineer-ing, Concordia University, Principal Supervisor: Yousef Shayan, ECE.


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– Santoush Nannuru, PhD ECE, “Multitarget Multisensor Tracking,” Principal Supervisor: MarkCoates (McGill), To be defended in July, 2015.

– Eduardo Corral Soto, MASc Computer Engineering, “A Review of Motion Analysis and Struc-ture from Motion,” Principle Advisor: J. Elder, Jul. 27, 2012.

– Kevin J. Cannon, PhD Computer Science, “Toward Region Tracking Unification through Com-mon Framework and Spatiotemporal Oriented Energy Features,” Principle Advisor: R. Wildes,Jul. 26 2011.

– Alexander Andreopoulos, Ph.D. Computer Science and Engineering, “Spatiotemporal OrientedEnergy Features for Visual Tracking,” Principle Advisor: J. Tsotsos. Defense Date: Oct. 29,2010.

– Lu Cui, MASc., Computer Engineering, “Capacity of the Delay Selector Channel,” PrincipalAdvisor: Andrew Eckford. Defense Date: Aug. 9, 2010.

– Elliot Coleshill, Ph.D. Department of Computing and Information Science (University of Guelph),“A Method For Removing and Replacing Lighting Effects Using Image Sequences,” PrincipalAdvisors: Alex Ferworn and Deborah Stacey. Defense Date: May. 14, 2010. Invited ExternalExaminer.

– Noushin Khosrodad, M.Sc., Earth and Atmospheric Study, “A Bluetooth based Wireless Space-craft Data Bus (Spacetooth),” Principal Advisors: Brian Sotheim and Brendan Quine. DefenseDate: Apr. 19, 2010.

– Micahel Liscombe, MASc. Engineering, “An Improved Triangulation Laser Rangefinder Usinga Custom CMOS HDR Linear Image Sensor,” Principal Advisor: Richard Hornsey. DefenseDate: Feb. 26, 2010.

– Nariman Farsad, M.S. Computer Science and Engineering, “Low Complexity Energy Optimiza-tion of Wireless Sensor Networks,” Principal Advisor: Andrew Eckford. Defense Date: Nov. 18,2009.

– Alexander Andreopoulos, Ph.D. Computer Science and Engineering, “Spatiotemporal OrientedEnergy Features for Visual Tracking,” Principle Advisor: J. Tsotsos. Proposal Date: Oct. 07,2009.

– John van Nostrand, PhD Chemistry (in progress), “Generation of 3D Ion Mobility Mass Spec-trometry Spectra,” Principle Advisor: K. W. Michael Siu. In progress.

– Mohammad El-Diasty, PhD Earth and Atmospheric Study (in progress), “A Neuro-KalmanNavigation Method for GPS-Aided MEMS-Based INS for Vehicular Navigation,” PrincipleAdvisor: Spiros Pagiatakis. In progress.

– Mahmoud Salem Abd El-Gelil, Ph.D. Earth and Atmospheric Study, “Superconducting Gravime-try and Earth Dynamics,” Principle Advisor: Spiros Pagiatakis, Date: Mar. 16, 2009.

– Michael Portnoy, M.S. Computer Science and Engineering, University of Guelph, “OptimizingHybrid Wireless Sensor Network Performance using Mobile Nodes,” Principal Advisor: NatalijaVlajic. Defence Date: Mar. 14, 2009.

– Aparjita Dasgupta, PhD Mathematics, “Twisted Laplacians, Laplacians on the HeisenbergGroup and SG Pseudo-Differential Operators,” Principle Advisor: M. W. Wong. Nov. 28,2008.

– Alexander Andreopoulos, PhD Computer Science, “Spatiotemporal Oriented Energy Featuresfor Visual Tracking,” Principle Advisor: J. Tsotsos. Dec. 19, 2007.

– Yan Yin, M.Sc. Computer Science, “Convex Optimization for Training HMM’s in Speech Recog-nition” Principal Advisor: Hui Jiang. Nar. 28, 2008.

– Jin Xu, M.Sc. Computer Science, “Multicast Routing in Wireless Mesh Networks” Principal


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Advisor: Uyen Nguyen. Defended: Oct. 11, 2006.

– King Y. Wong, Ph.D. Computer Science, “Statistical Models for Motion Segmentation andTracking”, Defended: Jan. 27, 2005, Principal Adviser: M. Spetsakis.

– Monowar Hossain, M.Sc. Computer Science, “Explicit Versus Implicit Temporal Representationof Temporal Information in HMM Based Attention Seeking Gesture”, Defended: Dec. 2004,Principal Adviser: M. Jenkin.

– Yufei Yuan, Ph.D. Electrical and Computer Engineering, University of Alberta, “Wavelet VideoCoding with Application in Network Streaming”, Defended: Nov. 2004, Principle Adviser:M. Mandal.

– Qi Wang, M.Sc. Computer Science, “Nonlinear Noise Compensation for Robust Speech Recog-nition”, Defended: Oct. 2004, Principal Adviser: H. Jiang.

– Haiyang Han, M.Sc. Earth and Space Science, “Progressive Vector Data Transmission”, De-fended: Nov. 2003, Principal Adviser: V. Tao.

– Chong Gao, M.Sc. Computer Science, “Dynamic Channel Adaptive MAC with Frame LengthPrediction (DCAM/LP): A new MAC protocol for wireless networks”, Defended: Apr. 2003,Principal Adviser: M. Aboelaze

– K. P. Subalakshmi, Ph.D. Engineering Science, Simon Fraser University, “Joint Source ChannelDecoding of Variable Length Encoded Sources with Applications to Image Transmission”,Defended: Jun. 2002, Principle Adviser: J. Vaisey.

– Ivan Wang, M.Sc. Earth and Space Science, “MPEG-4 based Web GIS Architecture”, Defended:2003, Principal Adviser: V. Tao.

– King Yuen Wong, Ph.D. Computer Science, “Statistical Approaches to Motion Segmentationand Tracking”, Defended: May, 2005, Principle Adviser: M. Spetsakis.

B6. ResearchFunding

B6a. External Awards

Period Granting Agency Total Amount

2017-22(applied)

NSERC Create, (Cyber Security, Privacy and Cy-berethics), (1/10).

$1.5M

2017-22 NSERC Discovery, (Distributed, Non-linear SignalProcessing for Large Scale Engineering Applications),PI (1/1).

$185K

2015-21 NSERC Create, (Data Analytics and Visualization),(1/10).

$1.65M

2014-19 Ontario Research Fund/ Research Excellence, (BigData Research, Analytics, and Information Network(BRAIN) Alliance), (1/10).

$4M

2014-19 NSERC Collaborative Research and DevelopmentGrant: (Graph Analytics; Data mining w/Hadoop,and; Transcoding and Data Mining), co-PI (1/2)

$600K

2014-18 Ontario Research Fund/ Research Excellence, (Cen-tre for Innovation in Information Visualization andData Driven Design - CIV/DDD), PI, (1/10).

$12.3M

2014-15 ORF/RE under CIV/DDD (3D Scalable Video CloudTranscoder for Wireless Multicasts), PI (1/1).

$60K

2014-15 ORF/RE under CIV/DDD (Cancer Modeling byProbabilistic Inference and Localization by SignalProcessing), PI (1/2).

$60K


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2013 NSERC Engage: (Beamforming and CompressiveSensing Based Diagnostic Ultrasound Imaging), PI(1/1)

$25,000

2012-16 NSERC Discovery Grant: (Time Reversal Signal Pro-cessing: Applications in Radar, Biomedicine, andWireless Communications), PI (1/1)

$90,000

2012-17 York Internal Chair Award PI (1/1) $200,000

2011-16 Ontario Research Foundation – ORF/RE:(Centre for Innovation in Information Visualizationand Data Driven Design), PI.

$12.3M

2012-13 CIV/DDD Demo Project:(Cancer Visualisation: Modeling (Supported and En-hanced by Probablistic Inference) and Localization(Perfomed by Signal Processing), PI (1/1).

$25,000

2011 CIV/DDD Demo Project:(Modeling Cancer Visualization Supported and En-hanced by Probabilistic Inference), PI (1/2).

$20,000

2012-13 CIV/DDD Demo Project:(Cloud Computing Project with IBM (Markham)Platform), Co-PI (1/1).

$25,000

2008–2012 NSERC Discovery Grant:(Robust Detection Algorithms for Time Reversal,Matched Field Processing), PI (1/1).

$85,500

2008–10 NCMDD Research Grant(MRI based Signal Processing Detection Algorithmsfor Breast Cancer Localization), PI (1/1).

$50,000

2003–2008 NSERC Discovery Grant:(Immersive Collaborative Environments), PI (1/1).

$90,000

2004 NSERC Undergraduate Students Research Award:(Scalable Video Codecs for Multimedia Comm.)

$6,000

2001–2004 NSERC Group Research Grant: (Object OrientedLow Bit Rate Video Codecs), PI (1/2).

$92,000

2003 NSERC USRA: (Signal Processing based Visualiza-tion of Biomolecular Sequences)

$6,000

2003 NSERC Undergraduate Students Research Award:(High Compression Video Codec for Wireless Comm.)

$6,000

2001 TechBC Prototype Development Fund: (RemoteCollaboration Using Virtual Collaborative Environ-ments), PI (1/1)

$20,400

2001 CFI Infrastructure Grant:(InfoNet Media Centre: A Versatile Environment forMultimedia Networking and Applications), PI (1/8)

$418,692

2001 BC Knowledge Development Fund:(InfoNet Media Centre: A Versatile Environment forMultimedia Networking and Applications), PI (1/8)

$418,692

2000 CFI Infrastructure Grant:(Shared Virtual Environments), PR (1/9)

$350,964

2000 BC Knowledge Development Fund:(Shared Virtual Environments), PR (1/9)

$350,964

1999 NSERC Undergraduate Students Research Award:(Java Implementation of MPEG4)

$6,000

1997-99 Office of Naval Research (ONR), USA:(Data Assimilation with NLOM), PI (1/2)

$150,000


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B6b. Internal Awards


2014-19 Concordia University, Funds from Provost’s Office $275,000

2013-15 Lassonde School of Engineering, York University: $80,000

2012-14 Faculty of Science and Engineering, York University:(Support for 1 Graduate Student)

$90,000

2008-12 Faculty of Science and Engineering, York University:(Support for 1 Graduate Student)

$65,000

2005 Junior Faculty Research Grant:Faculty of Science and Engineering, York University

$25,574

2004 Supplementary Research Grant:Office of Vice President Research, York University

$20,000

2004 Junior Faculty Research Grant:Faculty of Science and Engineering, York University

$5,855

2003 Computer Science and Engineering (Internal Funds) $22,000

2003 Supplementary Research Grant:Office of Vice President Research, York University

$20,000

2002 Seed Money:Faculty of Science & Engineering, York University

$50,000

1999 TechBC Prototype Development Fund:(MPEG-4 Player Implementation), PI (1/1)

$23,000

1998 NSERC Group Research Grant: (Observer OrientedLow Bit Rate Video Codec), PI (1/2)

$14,615

B7. PatentsA method and system of distributed and parallel video encoding and transcoding for multiple si-multaneous and error-resilient qualities of service. Canada. CA820160096. Applied: 2016/07/14.

Inventors: V. Mivahedi* and A. Asif (Concordia University), A. Chin, Z. Hu, and Y. Hu (IBM)

The present invention is a method and system of parallel encoding or transcoding video sequencesin a distributed environment while providing multiple simultaneous and error-resilient qualities ofservice. A video stream is split in a way to allow for substreams that can be used for deliveringdifferent qualities of service (QoS). These substreams are encoded or transcoded as parallel tasksthat are executed in a media server farm of multiple computers. The parallel tasks and serverfarm are managed by a session and task scheduler to schedule and prioritize the encoding ortranscoding workloads. Each video stream is managed by the scheduler as a session. Differentsessions and tasks can have different priorities and scheduling policies applied. Multiple videostreams or sessions can be encoded or transcoded in the system at the same time. The encodedor transcoded substreams are transmitted over the network.


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C) TEACHING B1. Summary (1-page)At York, my teaching contributions extend across the entire range of programs, including teachingcomputer science and engineering courses, curriculum development, supervision of undergradu-ate and graduate students, contributing to the Scholarship of Teaching and Learning (SCOTL)through research publications, and participating in University wide forums on the development ofteaching development strategies. Major contributions in each area are briefly highlighted below.

– Course Delivery: I have taught a range of courses in the disciplines of Computer Scienceand Engineering at the undergraduate and graduate levels including: CSE2021 4.0 ComputerOrganization; CSE3213 3.0 Computer Networks, CSE3451 4.0 Signals and Systems; CSE 42144.0 Digital Communication; and CSE6221 3.0 Statistical Signal Processing. A quantitativecomparison of the student evaluations of my teaching (shown in Fig. 1) illustrates that I havebeen consistently ranked above the departmental median scores.

– Curriculum Development: At York, I have proposed a number of new academic programsincluding the Software Engineering BASc degree (with Jonathan Ostroff and Bil Tzerpos),Computer Engineering BASc degree (with Richard Hornsey, Rob Allison, and Hui Jiang), andComputer Engineering MASc degree (with Rob Allison, Richard Hornsey, Minas Spetsakis, andYves Lesperance). In addition, I have designed/redesigned several courses including CSE42144.0 Digital Communications, CSE 3451 4.0 Signals and Systems, CSE6221 3.0 Statistical SignalProcessing and COSC6327 3.0 Multimedia Communications: Coding, Standards and Networks.

– Supervision of Graduate and Undergraduate Students: During my career at York, I havebeen actively involved in supervising graduate and undergraduate students. Since 2002, I havesupervised 11 graduate students and over 22 undergraduate students to successful completion oftheir graduate/honours thesis. During the same time frame, I have been a member of graduatedefense committees for an additional 30 students including PhD committees for Universitiesother than York in the capacity of an external member, for example, at the University ofGuelph, Simon Fraser University, and University of Alberta.

– Teaching Development at the University level: I have played a teaching leadership role in variouscapacities. At the Departmental level, I served as the Director of Computer Engineering and ledthe program to its first successful accreditation from the Canadian Engineering AccreditationBoard (CEAB) in 2006. While serving as the Chair of the Department of Computer Scienceand Engineering, I have recently led the Department through a successful University ProgramReview (UPR) and accreditation of the Computer Science and Computer Security programsfrom the Canadian Information Processing Society (CIPS).

At the University level, I have participated in the Green Paper and White Paper workinggroups on Teaching Innovation – an initiative led by the Provost and Vice President AcademicOffice that provided input to the teaching and learning sections of the Provostial White Paperand University Academic Plan. I also participated in the selection committee of the AcademicInnovation Fund (AIF) designed to provide funding worth $7.5M over three years in support ofinstitutional priorities set out in the White Paper and University Academic Plan. In addition,I chaired the University working group on Teaching Development and Recognition, under theleadership of the Associate Vice President, which drafted a report on how to improve Yorksacademic quality and how to strengthen Yorks teaching recognition system in 2011.

– Scholarship of Teaching and Learning (SCOTL): I have contributed to SCOTL through re-search papers on signal processing education published in prestigious IEEE transactions andconferences. These include a book “Continuous-time and Discrete-time Signals and Systems”published by the Cambridge University Press, which to my knowledge has been selected as atext in over 15 engineering institutions in North America.

My teaching contributions have been recognized at the Faculty, Graduate Studies, and Universitylevels through a number of teaching recognition awards as identified in the next section.


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2002−03 2003−04 2004−05 2005−06 2006−07 2007−08 2010−11 2011−123.5

4

4.5

5

Instructor

Dept. Average

Figure 1: Comparison of my teaching evaluations versus the average scores within the Departmentof Computer Science and Engineering (CSE) from 2002 to 2008. The instructor was on sabbaticalduring 2005-06.

C2. Teaching Awards(Also referenced in Section A4. Honours and Awards)

– Faculty of Graduate Studies (FGS) Teaching Excellence Award, York University, 2008-09.

– President’s University-Wide Teaching Award, York University, 2008.(Senior full-time tenured faculty with 10 or more years of full-time teaching experience).

– Excellence in Teaching Award, Faculty of Science and Engineering, York University, 2007.(Senior tenure stream faculty).

– Mildred Baptist Teaching Excellence Award, Department of Computer Science and Engineer-ing, York University, 2006-07.

– Nominated for the Leadership in Faculty Teaching Award, Ontario, Canada, 2006-07.

– Excellence in Teaching Award, Faculty of Science and Engineering, York University, 2004-05.

– Mildred Baptist Teaching Excellence, Department of Computer Science and Engineering, YorkUniversity, 2002-03.

C3. UndergradTeaching

C3a. Undergraduate Courses (Courses marked with ‘*’ were developed by me.)

– ELEC 242: Continuous-Time Signals and Systems, Summer 2016, Concordia University. Sum-mer 2016.

– CSE 4214.04: Digital Communications, Fall 2012.Instructor’s Evaluation (on a scale of 5, 5 being excellent):(1) 4.9, (2) 5.0, (3) 5.0, (4) 5.0, (5) 5.0, (6) 4.9, (7) 5.0, (8) 4.9, (9) 5.0, (10) 5.0Average: 5.0 on a scale of 5.

– CSE 3451.04: Signals and Systems, Fall 2011.Instructor’s Evaluation (on a scale of 5, 5 being excellent):(1) 4.7, (2) 4.7, (3) 4.7, (4) 4.7, (5) 4.3, (6) 4.5, (7) 4.4, (8) 4.1, (9) 4.3, (10) 5.0Average: 4.6 on a scale of 5.

– CSE 2021.04: Computer Organization, Fall 2010.Instructor’s Evaluation (on a scale of 5, 5 being excellent):


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(1) 4.4, (2) 4.3, (3) 4.6, (4) 4.4, (5) 4.2, (6) 4.3, (7) 4.2, (8) 4.4, (9) 4.4, (10) 4.8Average: 4.4 on a scale of 5.

– COSC 3451.04: Signals and Systems, Fall 2008.Course evaluation not completed due to a CUPE labour disruption.

– CSE 2021.04: Computer Organization, Winter 2007.Instructor’s Evaluation (on a scale of 5, 5 being excellent):(1) 4.5, (2) 4.5, (3) 4.5, (4) 4.5, (5) 4.4, (6) 4.5, (7) 4.6, (8) 4.4, (9) 4.4, (10) 4.4Average: 4.5 on a scale of 5.

– CSE 3451.04: Signals and Systems, Fall 2006.Course Evaluation (on a scale of 5, 5 being excellent):(1) 4.1, (2) 4.4, (3) 4.6, (4) 4.1, (5) 4.4, (6) 4.4, (7) 4.2, (8) 4.70, (9) 4.4, (10) 4.2, (11) 5.0, (12)5.0. Average: 4.4 on a scale of 5.Instructor’s Evaluation (on a scale of 5, 5 being excellent):(1) 4.8, (2) 4.6, (3) 4.8, (4) 4.8, (5) 4.5, (6) 4.8, (7) 4.6, (8) 4.6, (9) 4.2, (10) 4.7.Average: 4.65 on a scale of 5.

– CSE 4214.03: Digital Communications, Fall 2006.Course Evaluation (on a scale of 5, 5 being excellent):(1) 4.4, (2) 4.9, (3) 4.9, (4) 4.7, (5) 4.8, (6) 4.7, (7) 4.4, (8) 4.7, (9) 4.6, (10) 5.0, (11) 5.0, (12)5.0. Average: 4.7 on a scale of 5.Instructor’s Evaluation (on a scale of 5, 5 being excellent):(1) 4.8, (2) 5.0, (3) 5.0, (4) 5.0, (5) 5.0, (6) 5.0, (7) 5.0, (8) 5.0, (9) 4.8, (10) 5.0.Average: 4.96 on a scale of 5.

– CSE 3213.03: Computer Networks I, Winter 2005.Course Evaluation (on a scale of 5, 5 being excellent):(1) 4.4, (2) 4.4, (3) 4.2, (4) 4.0, (5) 4.5, (6) 4.4, (7) 4.0, (8) 3.9, (9) 4.1, (10) 4.4, (11) 5.0, (12)5.0. Average: 4.4 on a scale of 5.Instructor’s Evaluation (on a scale of 5, 5 being excellent):(1) 4.2, (2) 4.2, (3) 4.4, (4) 4.3, (5) 4.3, (6) 4.5, (7) 4.3, (8) 4.1, (9) 4.0, (10) 4.2.Average: 4.25 on a scale of 5.

– COSC 4214.03: Digital Communications*, Fall 2004.Course Evaluation (on a scale of 5, 5 being excellent):(1) 4.4, (2) 4.4, (3) 4.2, (4) 4.0, (5) 4.5, (6) 4.4, (7) 4.0, (8) 3.9, (9) 4.1, (10) 4.4, (11) 5.0, (12)5.0 average: 4.4 on a scale of 5.Instructor’s Evaluation (on a scale of 5, 5 being excellent):(1) 4.5, (2) 4.8, (3) 4.6, (4) 4.5, (5) 4.4, (6) 4.6, (7) 4.5, (8) 4.6, (9) 4.4, (10) 4.7.Average: 4.6 on a scale of 5.

– COSC 3451.03: Signals and Systems, Fall 2004.Course Evaluation (on a scale of 5, 5 being excellent):(1) 4.0, (2) 4.0, (3) 4.0, (4) 3.9, (5) 4.0, (6) 4.0, (7) 3.3, (8) 3.9, (9) 4.1, (10) 4.1, (11) 3.7, (12)4.0. Average: 4.34 on a scale of 5.Instructor’s Evaluation (on a scale of 5, 5 being excellent):(1) 4.4, (2) 4.5, (3) 4.8, (4) 4.7, (5) 4.2, (6) 4.5, (7) 4.6, (8) 4.4, (9) 4.3, (10) 4.4.Average: 4.5 on a scale of 5.

– COSC 2021.03: Computer Organization, Winter 2004. (Course Director).Course Evaluation (on a scale of 5, 5 being excellent):(1) 4.38, (2) 4.28, (3) 4.14, (4) 4.17, (5) 4.23, (6) 4.19, (7) 4.02, (8) 4.05, (9) 4.05, (10) 4.4.24,(11) 4.75, (12) 4.33. Average: 4.26 on a scale of 5.Instructor’s Evaluation (on a scale of 5, 5 being excellent):(1) 4.77, (2) 4.49, (3) 4.60, (4) 4.53, (5) 4.56, (6) 4.53, (7) 4.46, (8) 4.30, (9) 4.24, (10) 4.38.Average: 4.50 on a scale of 5.


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– COSC 3451.03: Signals and Systems, Fall 2003Course Evaluation (on a scale of 5, 5 being excellent):(1) 4.11, (2) 4.11, (3) 4.42, (4) 4.11, (5) 4.21, (6) 4.42, (7) 4.11, (8) 3.95, (9) 4.32, (10) 4.32,(11) 5.0, (12) 5.0. Average: 4.34 on a scale of 5.Instructor’s Evaluation (on a scale of 5, 5 being excellent):(1) 4.53, (2) 4.63, (3) 4.63, (4) 4.58, (5) 4.37, (6) 4.58, (7) 4.53, (8) 4.42, (9) 4.37, (10) 4.53.Average: 4.52 on a scale of 5.

– COSC 3213.03: Computer Networks I, Winter 2003.Course Evaluation: (1) 4.14, (2) 4.29, (3) 4.07, (4) 4.26, (5) 4.31, (6) 4.28, (7) 4.15, (8) 4.05,(9) 4.10, (10) 4.33. Average: 4.20 on a scale of 5.Instructor’s Evaluation: (1) 4.66, (2) 4.56, (3) 4.63, (4) 4.67, (5) 4.60, (6) 4.44, (7) 4.48, (8)4.44, (9) 4.58, (10) 4.55.Average: 4.56 on a scale of 5.

– COSC 3213.03: Computer Networks I, Fall 2002.Course Evaluation: (1) 4.08, (2) 4.27, (3) 4.11, (4) 4.14, (5) 4.11, (6) 4.14, (7) 4.06, (8) 4.06,(9) 4.06, (10) 4.09. Average: 4.11 on a scale of 5.Instructor’s Evaluation: (1) 4.72, (2) 4.72, (3) 4.80, (4) 4.69, (5) 4.71, (6) 4.80, (7) 4.69, (8)4.64, (9) 4.71, (10) 4.76.Average: 4.72 on a scale of 5.

C3b. Undergraduate Honours Thesis Supervision

– Herman Singh Badwal, “Genomics Signal Processing: Repeat Detection in Genomes,” 2013.

– Indhuja Thirmudi, MITACS International Intenship Student, Co-supervised with Michael Chenand Jianhong Wu, 2012.

– Albert Vander Meulen, “MRI based Breast Cancer Detection,” Mary and Hubert Lynch Un-dergraduate Research Internship, Summer 2010 & Fall 2010.

– Navid Mohaghegh, CSE6000 (3 credits), “Shifting Video Encryption Load from Video GraphicsCard to Apache Server,” Fall 2009/Winter 2010. Graduate project.

– Younes Manton, CSE4080, 3 credits, Fall 2008.

– Faisal Niaz, CSE4080, 3 credits, Summer 2007.

– Payal Bhatia, CSE4080, 3 credits, Winter 2007.

– Hassan Massom, CSE4080, 3 credits, Summer 2005.

– Anuj Gandhi, CSE4080, 3 credits, Summer 2004.

– Carol Song, CSE4080, 3 credits.

– Maria Kouras, CSE4080, 3 credits, Summer 2003.

– Aijuan Ye, CSE4080, 3 credits, Winter 2003.

– Oleg Belgorodskii, CSE4080, 3 credits, Fall 2003.

ENG4000 Supervised:

– Tayo Kadiri, Varun Kalia, Raiyan Awal, Manfred Adan Lopez “Distributed Camera Surveil-lance Network for Multi-Object Tracking,” Fall/Winter 2013-14.

– Anthony Rakic Aakash Goenka, Leonard Lewis, Gunbir Singh Bansi, ENG4000 6.0, “SecureConnect System,” Fall/Winter 2009-10.

– Danoush Dastgiri, Ivan Ho, Jasmine Kaur, and Usman Mahmood, “ENG4000 6.0, Real-timeMonotonic to Stereophonic Synthesizer”, Fall/Winter 2006-07.


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– Sameer Tewar, Rudran Sooriyapalan, and Bunarith Tan, ENG4000 6.0, “Streaming Video overWireless Adhoc Networks”, Fall/Winter 2006-07.

C3c. Guest Lectures in Other CoursesOn multiple occasions in CSE1001, CSE2021, CSE3213, and CSE3451.

C4. GraduateTeaching

C4a. Graduate CoursesYork University

– CSE 6002.03: Directed Reading, Winter 2011.

– CSE 6221.03: Statistical Signal Processing Theory, Fall 2008. Instructor’s Evaluation (on ascale of 5, 5 being excellent):(1) 5.0, (2) 5.0, (3) 5.0, (4) 4.9, (5) 5.0 , (6) 5.0 , (7) 5.0 , (8) 5.0 , (9) 5.0 , (10) 5.0.Average: 4.99 on a scale of 5.

– CSE 6221.03: Statistical Signal Processing Theory*, Fall 2007. Instructor’s Evaluation (on ascale of 5, 5 being excellent):(1) 5.0, (2) 5.0, (3) 4.8, (4) 5.0 , (5) 5.0 , (6) 5.0 , (7) 5.0 , (8) 5.0 , (9) 5.0 , (10) 5.0.Average: 4.98 on a scale of 5.

– COSC 6221.03: Statistical Signal Processing Theory*, Delivered and Designed, Fall 2003.Course Evaluation (on a scale of 5, 5 being excellent):(1) 4.50, (2) 4.71, (3) 4.17, (4) 4.33, (5) 4.29, (6) 4.43, (7) 4.33, (8) 4.43, (9) 4.17, (10) 4.33,(11) 4.00, (12) 4.00 average: 4.31 on a scale of 5.Instructor’s Evaluation (on a scale of 5, 5 being excellent):(1) 4.57, (2) 4.43, (3) 4.50, (4) 4.57, (5) 4.29, (6) 4.29, (7) 4.50, (8) 4.17, (9) 4.29, (10) 4.1.Average: 4.38 on a scale of 5.

– COSC 6327.03: Multimedia Communications: Coding Standards and Networks*, Designed,Approved by Faculty of Graduate Studies, Fall 2003.

Technical University of British Columbia

– ITEC 604: Statistical Signal Processing*, Winter 2001.

– ITEC 606: Linear Prediction and Spectral Estimation*, Winter 2000.

– ITEC 562: Distributed Systems and Computer Networks, EPSP, Fall 2000.

Carnegie Mellon University

– 18-798 Image and Video Processing

– 18-799 Multimedia Communications

C4b. Graduate Supervision (Also referenced in Section B5)

Principal Supervisor/Co-Supervisor

– Vida Movahedi. Post-Doc (full-time), Department of Electrical Engineering and ComputerScience, York University, 2014 - date (in progress). Working on an NSERC CRD Project incollaboration with IBM, Markham.

– Mohammad Sajjadieh, PhD, Department of Electrical Engineering and Computer Science, YorkUniversity, In progress.

– Amir Amini, PhD, Department of Electrical and Computer Engineering, Concordia University,In progress.

– Mahmoud Derakhshan, MASc, Department of Electrical and Computer Engineering, Concordia


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University, In progress.

– Shivam Saxena, MASc, Department of Electrical Engineering and Computer Science, YorkUniversity, “Distributed State Estimation for Smarter Electric Power Grids”. Graduated: July2015. Best EECS MASc thesis award.

– Noura Hanitara, MASc, Department of Electrical Engineering and Computer Science, YorkUniversity, “Compressive Sensing and Time Reversal Beamforming Approaches for UltrasoundImaging”. Graduated: July 2015

– Arash Mohammadi, Post-Doc (part-time), Department of Electrical Engineering and Com-puter Science, York University, 2014 - 2015. Accepted a Faculty position with CIISE, ENCS,Concordia University.

– Foroohar Foroozan, Post Doc (part time), Computer Science and Engineering, Completed,2013-14. Working as a Postdoc with ECE, University of Toronto.

– Nariman Farad, PhD, Department of Electrical Engineering and Computer Science, York Uni-versity, Defended 2015. Selected as Post-Doc at ECE, Stanford University as NSERC Post-Doctoral Fellow.

– Arash Mohammadi, PhD, Computer Science and Engineering, “Distributed Implementations ofthe Particle Filter with Performance Bounds,” Nov. 22, 2013. 2014 EECS Best DissertationAward.

– John van Nostrand, PhD Chemistry (in progress), “Generation of 3D Ion Mobility Mass Spec-trometry Spectra,” Co-supervised with K. W. Michael Siu (Principle Supervisor). In progress.

– Xiangdong An, Post Doc, Computer Science and Engineering, 2012-13.

– Wendy Ashlock, PhD, Computer Science and Engineering, “Using Signal Processing, Evolu-tionary Computation, and Machine Learning to Identify Transposable Elements in Genomes”.Defended: August 22, 2013.

– Foroohar Foroozan, PhD, Computer Science and Engineering, “Active Array Target Localiza-tion using Time Reversal Signal Processing,” Defended: Jan. 15, 2011.

– Mohammad Sajjadieh, M.Sc., Computer Science and Engineering, “Breast Cancer Detectionusing Time Reversal,” Defended: Oct. 19, 2010.

– Mohammad El-Diasty, PhD, Earth and Space Science (in progress), “A Neuro-Kalman Nav-igation Method for GPS-Aided MEMS-Based INS for Vehicular Navigation,” Co-supervisedwith Spiros Pagiatakis (Principle Supervisor). Defended: Apr. 15, 2010.

– Neha Durwas, M.Sc., Computer Science and Engineering, “Decentralized Diffusive Configura-tion for Target Detection in Wireless Sensor Networks,” Defended: Sep. 2008

– Frank Guohua Xu, M.Sc. Computer Science, “NPR/VQR: A Real Time Video-on-DemandServer for Wireless Communications,”, Nov. 2006.

– Qian Bai, M.Sc. Computer Science , “Time Reversal and Matched Field Processing,” Jun. 2006.

– Haoyuan Wang, M.Sc. Computer Science, “DFT based Splicing Algorithms for Prediction ofProtein Coding Regions”, Defended: Aug. 30, 2004.

Supervisory Committees

– Sepehr Khodadadi, PhD ECE (in progress), Department of Electrical and Computer Engineer-ing, Concordia University, Principal Supervisor: Yousef Shayan, ECE.

– Santoush Nannuru, PhD ECE, “Multitarget Multisensor Tracking,” Principal Supervisor: MarkCoates (McGill), To be defended in July, 2015.

– Eduardo Corral Soto, MASc Computer Engineering, “A Review of Motion Analysis and Struc-


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ture from Motion,” Principle Advisor: J. Elder, Jul. 27, 2012.

– Kevin J. Cannon, PhD Computer Science, “Toward Region Tracking Unification through Com-mon Framework and Spatiotemporal Oriented Energy Features,” Principle Advisor: R. Wildes,Jul. 26 2011.

– Alexander Andreopoulos, Ph.D. Computer Science and Engineering, “Spatiotemporal OrientedEnergy Features for Visual Tracking,” Principle Advisor: J. Tsotsos. Defense Date: Oct. 29,2010.

– Lu Cui, MASc., Computer Engineering, “Capacity of the Delay Selector Channel,” PrincipalAdvisor: Andrew Eckford. Defense Date: Aug. 9, 2010.

– Elliot Coleshill, Ph.D. Department of Computing and Information Science (University of Guelph),“A Method For Removing and Replacing Lighting Effects Using Image Sequences,” PrincipalAdvisors: Alex Ferworn and Deborah Stacey. Defense Date: May. 14, 2010. Invited ExternalExaminer.

– Noushin Khosrodad, M.Sc., Earth and Atmospheric Study, “A Bluetooth based Wireless Space-craft Data Bus (Spacetooth),” Principal Advisors: Brian Sotheim and Brendan Quine. DefenseDate: Apr. 19, 2010.

– Micahel Liscombe, MASc. Engineering, “An Improved Triangulation Laser Rangefinder Usinga Custom CMOS HDR Linear Image Sensor,” Principal Advisor: Richard Hornsey. DefenseDate: Feb. 26, 2010.

– Nariman Farsad, M.S. Computer Science and Engineering, “Low Complexity Energy Optimiza-tion of Wireless Sensor Networks,” Principal Advisor: Andrew Eckford. Defense Date: Nov. 18,2009.

– Alexander Andreopoulos, Ph.D. Computer Science and Engineering, “Spatiotemporal OrientedEnergy Features for Visual Tracking,” Principle Advisor: J. Tsotsos. Proposal Date: Oct. 07,2009.

– John van Nostrand, PhD Chemistry (in progress), “Generation of 3D Ion Mobility Mass Spec-trometry Spectra,” Principle Advisor: K. W. Michael Siu. In progress.

– Mohammad El-Diasty, PhD Earth and Atmospheric Study (in progress), “A Neuro-KalmanNavigation Method for GPS-Aided MEMS-Based INS for Vehicular Navigation,” PrincipleAdvisor: Spiros Pagiatakis. In progress.

– Mahmoud Salem Abd El-Gelil, Ph.D. Earth and Atmospheric Study, “Superconducting Gravime-try and Earth Dynamics,” Principle Advisor: Spiros Pagiatakis, Date: Mar. 16, 2009.

– Michael Portnoy, M.S. Computer Science and Engineering, University of Guelph, “OptimizingHybrid Wireless Sensor Network Performance using Mobile Nodes,” Principal Advisor: NatalijaVlajic. Defence Date: Mar. 14, 2009.

– Aparjita Dasgupta, PhD Mathematics, “Twisted Laplacians, Laplacians on the HeisenbergGroup and SG Pseudo-Differential Operators,” Principle Advisor: M. W. Wong. Nov. 28,2008.

– Alexander Andreopoulos, PhD Computer Science, “Spatiotemporal Oriented Energy Featuresfor Visual Tracking,” Principle Advisor: J. Tsotsos. Dec. 19, 2007.

– Yan Yin, M.Sc. Computer Science, “Convex Optimization for Training HMM’s in Speech Recog-nition” Principal Advisor: Hui Jiang. Nar. 28, 2008.

– Jin Xu, M.Sc. Computer Science, “Multicast Routing in Wireless Mesh Networks” PrincipalAdvisor: Uyen Nguyen. Defended: Oct. 11, 2006.

– King Y. Wong, Ph.D. Computer Science, “Statistical Models for Motion Segmentation andTracking”, Defended: Jan. 27, 2005, Principal Adviser: M. Spetsakis.


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– Monowar Hossain, M.Sc. Computer Science, “Explicit Versus Implicit Temporal Representationof Temporal Information in HMM Based Attention Seeking Gesture”, Defended: Dec. 2004,Principal Adviser: M. Jenkin.

– Yufei Yuan, Ph.D. Electrical and Computer Engineering, University of Alberta, “Wavelet VideoCoding with Application in Network Streaming”, Defended: Nov. 2004, Principle Adviser:M. Mandal.

– Qi Wang, M.Sc. Computer Science, “Nonlinear Noise Compensation for Robust Speech Recog-nition”, Defended: Oct. 2004, Principal Adviser: H. Jiang.

– Haiyang Han, M.Sc. Earth and Space Science, “Progressive Vector Data Transmission”, De-fended: Nov. 2003, Principal Adviser: V. Tao.

– Chong Gao, M.Sc. Computer Science, “Dynamic Channel Adaptive MAC with Frame LengthPrediction (DCAM/LP): A new MAC protocol for wireless networks”, Defended: Apr. 2003,Principal Adviser: M. Aboelaze

– K. P. Subalakshmi, Ph.D. Engineering Science, Simon Fraser University, “Joint Source ChannelDecoding of Variable Length Encoded Sources with Applications to Image Transmission”,Defended: Jun. 2002, Principle Adviser: J. Vaisey.

– Ivan Wang, M.Sc. Earth and Space Science, “MPEG-4 based Web GIS Architecture”, Defended:2003, Principal Adviser: V. Tao.

– King Yuen Wong, Ph.D. Computer Science, “Statistical Approaches to Motion Segmentationand Tracking”, Defended: May, 2005, Principle Adviser: M. Spetsakis.

C5. CurriculumDevelopment

– With Andrew Eckford working on the development of the Electrical Engineering program(BASc degree). Program to be offered in Fall 2013.

– With Bil Tzerpos and Jonathan Ostroff proposed the Software Engineering program (BAScdegree) in 2009. Program continue to be offered since Fall 2011.

– As Director of the Computer Engineering program, I led the development of a new curriculumfor the Computer Engineering undergraduate degree, which received a 3-year accreditationfrom the Canadian Engineering Accreditation Board (CEAB) in 2007.

– With Rob Allison, Richard Hornsey, Minas Spetsakis, and Yves Lesperance, I proposed a newgraduate program in Computer Engineering. The proposal was approved by the Faculty ofGraduate Studies and York Senate.

– Coauthored the text “Continuous-time and Discrete-time Signals and Systems” and wrote itssolution manual for over 500 problems. Published by Cambridge University Press in 2007. Atleast fifteen prominent North American Universities have adapted the text.

– Designed a fourth year course, COSC4214.03: Digital Communications in 2003. COSC4214 isa core course for Computer Engineering students and an elective option for Computer Sciencestudents and is offered annually since 2003.

– Designed two graduate courses, COSC6221.03: Statistical Signal Processing and COSC6327.03:Multimedia Communications, Coding, Standards and Networking in 2002-03. Both courses areoffered by the CS graduate program regularly.

– Developed an integrated signal processing and multimedia laboratory for teaching third andfourth year signal processing and communication courses in 2003-04. As part of the develop-ment of the ISPM lab, I revised CSE3451 from a 3.0 credit course to 4.0 credit course andintroduced a 3-hour weekly lab in the course.

– Developed a lab manual, Lab Exercises for Digital Communications using MATLAB in May2003 for CSE 4214.03: Digital Communications.


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– In conjunction with Suprakash Datta, Hui Jiang, Mariana Kant, and Andre Kushnik, proposedthe curriculum for a minor in Bioinformatics for the Computer Science students, (2003-04).

– Proposed a new specialized stream in Communication Networks for the CS majors, (2003-04). The specialized stream is currently being offered for the CS specialized major honours’students.

C6. Publications Publications related to Teaching (Also included in research publications in Section 2A-2C.)

– A. Asif and M. Mandal, Continuous-time and Discrete-time Signals and Systems, CambridgeUniversity Press, 880 pages, Jun. 2007.Catalog URL: http://www.cambridge.org/uk/catalogue/catalogue.asp?isbn=9780521854559

– A. Asif and M. Mandal, Solutions for Continuous-time and Discrete-time Signals and Systems,Cambridge University Press, Jun. 2007. (409 problems)

– Amir Asif, Multimedia and Cooperative Learning for Online Teaching of Signal ProcessingTechniques in Communications, IEEE Signal Processing Letters, vol. 11, no. 2, pp. 278-82,Feb. 2004.

– Amir Asif, Multimedia Learning Objects for Digital Signal Processing in Communications, inProceedings of IEEE International Conference on Multimedia and Expo, ICME ’03, Baltimore,Maryland, July 2003. (Invited Paper).

– Amir Asif, Multimedia Learning Objects for Digital Signal Processing in Communications, inProceedings of IEEE International Conference in Acoustics, Speech, and Signal Processing,ICASSP’03, Hong Kong, April 2003.

– Amir Asif and John Nesbit, Cooperative and Online Learning in Signal Processing, in Proceed-ings of IEEE International Conference in Acoustics, Speech, and Signal Processing, ICASSP’01,Phoenix, 2001.

C7. Service Service on Teaching Related Committees

– Chair/Vice-Chair/Member, Senate Subcommittee on Academic Standards, Curriculum andPedagogy (ASCP) 2009–2012

– Member of the Working Group on Teaching and Learning, Provostial White Paper (PWP)2009–2010

– Invited Member, Vice Provost’s Adhoc Working Group on Teaching and Learning, York Uni-versity, 2010.

– Chair, Teaching Development and Recognition Subgroup, Formed to implement the recom-mendations of the PWP vis-a-vis Teaching and Learning at York University. 2009–10

– Panel Chair, Ontario Graduate Scholarship 2007–2008, 2008–2009

– Executive Member, Engineering and Applied Science Committee, Science Council of BritishColumbia (SCBC), Vancouver, B.C. 1999 - 2002

– Advisory Member, New Media Innovation Centre (NewMIC), Vancouver, B.C. 2000 - 2002

– Technical Committee, International Conference on Advances in Pattern Recognition, Calcutta,India 2003

– Member, Curriculum Committee, Faculty of Science and Engineering 2007–2010

Recent Membership in University and Provincial level Teaching and Learning Committees:

– Invited Member, Tuning Project, Higher Education Quality Council of Ontario (HEQCO)2(2012): This 1-year project invites faculty members from three sectors (social sciences, phys-ical sciences, and life and health sciences) from Ontario to identify learning outcomes acrossdiploma, degree and masters levels for the three sectors to promote quality assessment, students


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mobility, credit transfer and degree recognition. I am working on defining learning outcomesand creating implementation/evaluation plans for the physical sciences sector.

– Elected-member/Vice-Chair/Chair, Senate Committee on Academic Standards, Curriculumand Pedagogy (ASCP) (2009 2012): Since June 2011, I am serving as the Chair of ASCPresponsible for formulating University wide policy and making recommendations to Senate onmatters concerning the planning, implementation, and evolution of the academic standards,regulations, curriculum and programs of Senate and Faculties, including research-informedpedagogy. Previously, I served as the Vice-chair (2010-11) and member (2009-10) of ASCP.

– Chair, University Working Group on Teaching Development and Recognition, York University(2011): Chaired the University working group on Teaching Development and Recognition in2011 and drafted a report outlining recommendations on how to improve Yorks academicquality inside and outside classrooms.

– Member, Centre for Support for Teaching (CST) Revisioning Working Group (2011): Prepareda report that recommended significant broadening of the role of Yorks CST from professionaldevelopment programs for individuals and groups to adopting a systemic focus to advancepan-University strategic objectives and systems change and a significantly stronger focus onfostering the dissemination of research related to the scholarship of teaching and learning.

– Member, Academic Technology Advisory Work Group Meeting (2012): In the Spring of 2011,the Academic Technology Advisory (ATA) Group was established to provide eLearning adviceand guidance to University executive leadership on the use of technology in enhancing thequality of teaching and learning and the overall academic experience of Yorks students.

– Member, Teaching Commons Consultancy Group (2012-13): The Teaching Commons (TC)Consultancy Group provides advice and guidance to the Teaching Commons in the achievementof the TCs mission and areas of responsibility.

– Member, Expert Reviewer, National Research Council for Scientific Research, Government ofRomania (2011-12): Reviewed research grant applications in the area of signal processing andcommunications.


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D) UNIVERSITYSERVICE

D1. SummaryIn terms of University service, I have assumed leadership role at various Departmental, Faculty,and University Committees on numerous occasions. A brief summary of my service contributionsis given below with a detailed listing of my committee memberships included in Section D3 of myCV.

– Dean, Engineering and Computer Science (2014 – date): As Dean, I am leading one of thelargest engineering school in Canada with over 8000 student enrolment. Recent initiativesinclude a Chemical and Material Engineering department (recently approved by Senate); abachelors degree in Aerospace Engineering; undergraduate specializations in Biomedical En-gineering and Pervasive Computing, a PhD degree in Software Engineering; a professionalgraduate degree in Environmental Engineering, and a new graduate certificate in Technology,Innovation, and Society.

– Chair, Computer Science and Engineering (2007 – 2014): As Chair, I continue to represent theDepartment regularly at both internal and external forums. For example, my administrativeload in 2010-11 included participation in six departmental committees, five faculty level com-mittees, and an additional seven committees at the University level.

Some of the major initiatives that I have led as the CSE Chair include the University ProgramReview for the CSE undergraduate programs in 2008, participation in the development of theCSE T&P Adjudicating Standards in 2009 (subsequently, approved by the Senate in 2011),2010-15 CSE Strategic Plan developed in 2010, CIPS (Canadian Information Processing Soci-ety) accreditation of the Computer Science and Computer Security programs in 2011, and morerecently, the development of the Electrical Engineering program as the first program in the newLassonde School of Engineering. I have also organized several outreach activities directed atperspective high school students including the annually organized “Links to Computing Day”and participated in other outreach activities such as the biannually held University Fair.

– Participation in the Provostial White Paper and University Academic Plan: As previouslymentioned under my teaching contributions, I have participated in several University forumsincluding the “Green Paper” and “White Paper” working groups on Teaching Innovation toprovide input to the teaching and learning sections of the Provostial White Paper and Univer-sity Academic Plan. I was also a member of the selection committee of the 2010-13 AcademicInnovation Fund (AIF) competition, which prepared a shortlist of applications for final ap-proval from the Vice Provost office for distribution of academic funds totaling $2.5M over threeyears. Under the leadership of the Associate Vice President, I chaired the University work-ing group on Teaching Development and Recognition in 2011 and drafted a report outliningrecommendations on how to improve Yorks academic quality inside and outside classrooms.

– Director, Computer Engineering (2006-08): Prior to my tenure as Chair, Computer Scienceand Engineering, I served as Director of the Computer Engineering program. One of mymajor accomplishments in that position was the first successful CEAB (Canadian EngineeringAccreditation Board) accreditation of the Computer Engineering program in 2007.

– Elected Member/Vice Chair/Chair, Senate Subcommittee of Academic Standards, Curriculum,and Pedagogy (2009 – 2012): Since June 2011, I am serving as the Chair of ASCP (SenateSubcommittee of Academic Standards, Curriculum, and Pedagogy) responsible for formulatingUniversity wide policy and making recommendations to Senate on matters concerning theplanning, implementation, and evolution of the academic standards, regulations, curriculumand programs of Senate and Faculties, including research-informed pedagogy. Previously, Ihave served as the Vice-chair (2010-11) and member (2009-10) of ASCP.

– Vice Chair, Senate, York University (2013 – date): I have recently been elected Vice-Chair ofthe Senate of York University. The Vice-Chair advises the Chair on matters of importance,accomapnies Chairs in all Senate related activities, and assumes duties of the Chair as thelatter may delegate or in his absence. After serving as Vice-Chair for 18-months, the Vice-


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Chair assumes the responsibility of the Chair of the Senate.

In addition, I have been serving on the University Senate since 2007.

D2. Awards– Received York Union Faculty Association (YUFA) Merit Awards for meritorious accomplish-

ments (research, teaching, and service) during 2012-13, 2011-12, 2010-11, 2009-10, 2008-09,2007-08, 2006-07, 2004-05, 2003-04, and 2002-03. Since joining the University, I have receivedthis award every year of my service at York.

D3. CommitteeWork

Committee Work in 2015-date

For administrative work, please refer to the separate list provided.

Committee Work in 2014-15University Committees:

– Dean, Faculty of Engineering and Computer Science (ENS), Concordia University, 2014-date.

– As ENCS Dean, I led the development of the 2016-2021 ENCS Strategic Plan. Increased thefaculty complemnt from 175 to 210 full time, tenured/tenure track faculty members. Led thedevelopment of 10 Faculty-wide interdisciplinary research centres, numerous externally recog-nized research chairs, and creation of faculty research support and capital infrastructure fundsfocused on attracting the best researchers and achieving excellence in research. Established anew School in Chemical and Materials Engineering that aims at positioning ENCS as an inter-national leader in chemical and materials engineering education, research and practice throughmultidisciplinary collaboration involving researchers from Chemistry, Physics, Chemical En-gineering, Electrical Engineering, Civil Engineering, Environmental Engineering, and Metalsand Materials Engineering. As approved by the Board of Governors, the CME school will belaunched on May 1, 2017.

– Othe major academic initiatives include new programs in MASc/MSc program in Nanoscience& Nanotechnology, BEng program in Aerospace Engineering, PhD in Software Engineering,and NSERC Design Chair in Aerospace Design Engineering.

– Chai, Research Committee, National Council of Deans of Engineering and Applied Sciences,Canada, 2016-date.

– Principle Investigator, Centre for Innovation in Information Visualization and Data DrivenDesign (CIV/DDD), Research Centre funded by Ontario Research Foundation, 2011-14.

– Vice Chair, Senate, York University 2013-14.

– Vice Chair, Canadian Heads of Electrical and Computer Engineering Departments, Canada,2013-14.


– Vice Chair, University Senate, York University, 2013-16. (The Vice-Chair is an elected position,who becomes Chair, Senate after 18 months).

– Principle Investigator, Centre for Innovation in Information Visulaization and Data DrivenDesign (CIV/DDD), Research Centre funded by Ontario Research Foundation, 2011-16.

– Member, University Senate, York University, 2007 - date.

– Member, Academic Technology Advisory Work Group Meeting, 2012 - date.

– Member, Teaching Commons Consultancy Group, 2012-13:


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Lassonde School of Engineering Committees:

– Member, Academic Planning and Policy Committee, Faculty of Graduate Studies (FGS), Fac-ulty of Science and Engineering, 2013 - date.

– Member, LSE Leadership Committee, Lassonde School of Engineering, 2013 - date.

– Member, LSE Curriculum Committee, Lassonde School of Engineering, 2013 - date.

Departmental Committees:

– Chair, Electrical Engineering and Computer Science, 2007 - date.

– Chair, EECS Executive Committee, Electrical Engineering and Computer Science, 2013 - date.

– Chair, EECS Graduate Executive Committee, Electrical Engineering and Computer Science,2013 - date.

– Member, Computer Engineering Curriculum Committee, 2007 - date.

– Member, EECS Tenure and Promotion Adjudication Committee, Computer Science and En-gineering, 2013 - date.

– Member, EECS Research Committee, Computer Science and Engineering, 2007 - date.

Others:

– Vice Chair, Canadian Heads of Electrical and Computer Engineering Departments, Canada.


– Vice Chair, University Senate, York University, 2013-16. (The Vice-Chair is an elected position,who becomes Chair, Senate after 18 months).

– Principle Investigator, Centre for Innovation in Information Visulaization and Data DrivenDesign (CIV/DDD), Research Centre funded by Ontario Research Foundation, 2011-16.

– Elected member/Vice Chair/Chair, Senate Subcommittee on Academic Standards, Curricu-lum, and Pedagogy Committee (ASCP), University Senate, York University, 2009 - date. Ichaired ASCP in 2011-12.

– Member, University Senate, York University, 2007 - date.

– Member, ASCP Coordinating and Planning Subcommittee, York University, 2010 - 2012.

– Member, Search Committee for AVP, Teaching and Learning, 2011.

– Chair, University Working Group on Teaching Development and Recognition, 2011-12.

– Member, Centre for Support for Teaching (CST) Revisioning Working Group, 2011-12.

– Member, Academic Technology Advisory Work Group Meeting, 2012-13.

– Member, Teaching Commons Consultancy Group, 2012-13:

FSE Committees:

– Member, FSE Engineering Planning and Management Committee (EPMC), Faculty of Scienceand Engineering, 2007 - date.

– Member, FSE Engineering Curriculum Committee (ECC), Faculty of Science and Engineering,2007 - date.

– Member, FSE Executive and Planning Committee (E&P), Faculty of Science and Engineering,2007 - date.


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– Member, FSE Resource Committee, Faculty of Science and Engineering, 2007 - date.

– Member, FSE Chairs Committee, Faculty of Science and Engineering, 2007 - date.

Departmental Committees:

– Chair, Computer Science and Engineering, 2007 - date.

– Chair, CSE Executive Committee, Computer Science and Engineering, 2007 - date.

– Member, CSE Graduate Executive Committee, Computer Science and Engineering, 2007 -date.


– Member, CSE Tenure and Promotion Adjudication Committee, Computer Science and Engi-neering, 2007 - date.

– Member, CSE Research Committee, Computer Science and Engineering, 2007 - date.

Others:

– Member, CSE Search Committee for 3 faculty positions in Electrical Engineering, 2011-12.

– Successfuly led the CIPS/CSAC Accreditation, 2011. All honours and specialized honoursComputer Science and Computer Security programs received CIPS accreditation for the max-imum allowable period of six years from 2011-2017.

– Participated/organized various outreach activities including Ontario University Fair, ScienceOlympics, and Links to Computing day, 2011-12.

2010–11:

– Chair, Computer Science and Engineering, 2007 - date.

– Chair, CSE Executive Committee, Computer Science and Engineering, 2007 - date.

– Member, CSE Graduate Executive Committee, Computer Science and Engineering, 2007 -date.


– Member, CSE Tenure and Promotion Adjudication Committee, Computer Science and Engi-neering, 2007 - date.

– Member, CSE Research Committee, Computer Science and Engineering, 2007 - date.

– Member, FSE Engineering Planning and Management Committee (EPMC), Faculty of Scienceand Engineering, 2007 - date.

– Member, FSE Engineering Curriculum Committee (ECC), Faculty of Science and Engineering,2007 - date.

– Member, FSE Executive and Planning Committee (E&P), Faculty of Science and Engineering,2007 - date.

– Member, FSE Resource Committee, Faculty of Science and Engineering, 2007 - date.

– Member, FSE Chairs Committee, Faculty of Science and Engineering, 2007 - date.

– Member, University Senate, York University, 2007-11.

– Elected member and Vice Chair, Senate Subcommittee on Academic Standards, Curriculum,and Pedagogy Committee (ASCP), University Senate, York University, 2009-12.

– Invited Member, Green Paper Working Group on Teaching, Innovation, and Student Learning


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Committee, York University, 2009.

– Invited Member, Vice Provost’s Adhoc Working Group on Teaching and Learning, York Uni-versity, 2010.

– Member, ASCP Coordinating and Planning Subcommittee, York University, 2010.

– Member, ASCP-SAC Subcommittee on Academic Integrity & Appeals, York University, 2010.

– Member, Search Committee for AVP, Teaching and Learning, 2011.

2009–10:

– Chair, Computer Science and Engineering.

– Chair, Executive Committee, Computer Science and Engineering.

– Member, Computer Engineering Curriculum Committee.

– Member, Tenure and Promotion Adjudication Committee, Computer Science and Engineering.

– Member, Research Committee, Computer Science and Engineering.

– Member, Engineering Planning and Management Committee, Faculty of Science and Engineer-ing.

– Member, Engineering Curriculum Committee, Faculty of Science and Engineering.

– Member, Executive and Planning Committee, Faculty of Science and Engineering.

– Member, Resource Committee, Faculty of Science and Engineering.

– Member, Chairs Committee, Faculty of Science and Engineering.

– Elected member, Senate Subcommittee on Academic Standards, Curriculum, and PedagogyCommittee, University Senate, York University.

– Invited Member, Green Paper Working Group on Teaching, Innovation, and Student LearningCommittee, York University.

2008–09:











– Member, Computer Science and Engineering, Faculty Search Committee (Computer Science).

– Member, University Senate, York University

2007–08:


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2006–07:

– Director, Computer Engineering.

– Chair, File Preparation Committee, Uyen Trang Nguyen.





– Member, Graduate Executive Committee, Computer Science.

– Member, Computer Science and Engineering, Faculty Search Committee (Computer Engg).


2005–06:

– Member, Computer Science and Engineering, Executive Committee.



– Member, Computer Science and Engineering, Computer Engineering Steering Committee.

– Member, Computer Engineering Graduate Committee.

2004–05:

– Academic Representative for Public Liaison, Computer Science and Engineering.

– Member, Computer Science and Engineering, Executive Committee.



– Member, Computer Science and Engineering, Computer Engineering Steering Committee.


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– Member, Engineering Planing Group.


2002–03:

– Member, Computer Engineering Steering Committee.

– Member, Engineering Planing Group.


D4. Presentations Related to Outreach Activities

– Science Speakers Bureau: Seminar, Understanding DNA: Molecule of Life, Woodbridge College,Toronto, ON, on behalf of the Faculty of Science and Engineering, York University, April. 20,2007.

– Science Speakers Bureau: Seminar, Understanding DNA: Molecule of Life, Islamic FoundationSchool, on behalf of the Faculty of Science and Engineering, York University, Dec 01, 2006.

– Science Speakers Bureau: Seminar, Decoding the Human Genome, Saint Theresa LisieuxCatholic High School, Richmond Hill, ON, on behalf of the Faculty of Science and Engineering,York University, Nov. 5, 2004.

– Engineering Advising: Presented an introduction of Computer Engineering for accepted Com-puter Engineering students, Jun. 17, 2004.

– Science Speakers Bureau: Seminar, Decoding the Human Genome, Scarlett Heights Entrepreneu-ral Academy, on behalf of the Faculty of Science and Engineering, York University, May 07,2004.

– IEEE/YUCC Upper Year Information Session, Conducted an advising session and a shortseminar introducing the specialization of Signal Processing and Communications, recommendedcourses to take, and research issues in the field, Mar. 05, 2004.

– Computer Science and Engineering Day at York University: Presented a seminar, MultimediaCommunications: Technologies and Applications, Public seminar series, Feb. 16, 2004.

– Ontario Society of Professional Engineers: Presented a seminar introducing the ComputerEngineering program at York University, Feb. 5, 2004.

– Science Speakers Bureau: Seminar, Decoding the Human Genome, Saint Marguerite d’YouvilleSecondary School, Brampton, ON, on behalf of the Faculty of Science and Engineering, YorkUniversity, Dec. 5, 2003.

– Science Speakers Bureau: Seminar, Decoding the Human Genome, Notre Dame SecondarySchool, Brampton, ON, on behalf of the Faculty of Science and Engineering, York University,Oct. 31, 2003.

– Engineering Orientation: Presented an introduction of Computer Engineering during the ori-entation week, Mar. 8, 2003.

– Dare to Compare Seminar Series: Presented a seminar, Multimedia Communications: Tech-nologies and Applications, as part of public seminar series, Apr. 27, 2003.

– Freshmen Orientations: Seminar and advising sessions for new engineering students on Jun. 19,2003, Jul. 3, 2003, and Jul. 25, 2003.

D5. ProfessionalTraining

– Passed Professional Engineering registration requirements including an exam on ethics, profes-sional practice, law, and liability, 2003. Certified as a Professional Engineer in Ontario.

– Completed Occupational Health and Safety Training, Workplace Hazardous Materials Infor-


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mation Systems Training, York University, Jan. 13, 2003.

D6. VolunteerPositions

Mentor, Dr. Andrew Eckford, 2006-07; Faculty Adviser, IEEE Student Chapter, Mentor, Engi-neers without borders, Mar. 27, 2003-05; Faculty Adviser, IEEE Student Chapter, Jun. 04, 2003- date; Host, Dr. Natalija Vlajic, Faculty Candidate, Computer Engineering, Jun. 17, 2003.


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