Vivek Kumar Singh

M.Tech RS & GIS (IIRS, ISRO)

Flat-703, Tower-4, Panchsheel Primrose Apartment,

Near Police Line, Hapur Road, Govindpuram, Ghaziabad-201013; Mob: +91 8126020112; Email: december.keviv@gmail.com,dec.vivek1233@gmail.com

Career Objective

Professional Training and

Education

Educational Qualification

To solve problem in a creative and effective manner, and to open up new avenues of solution while maintaining the standards set by the organization.

PhD in Atmospheric Science

M.Tech. in Remote Sensing and GIS

B.Tech. in Information Technology

Pursing PhD from Indian Institute of Technology, Delhi (IIT-Delhi).

Passed M.Tech in Remote Sensing & GIS (2012- 2014) from Indian Institute of Remote Sensing, ISRO, Govt. of India with 7.96 CGPA.

Passed B.Tech in Information Technology from JNTU-Hyderabad

with71.05% (2012). Passed 12th from Board of Intermediate education –Andhra Pradesh

with 85.00% (2008). Passed 10th from Board of Secondary Education (CBSE) with 66.4% (2006). Diploma certificate in JAVA and Oracle from NIIT Secunderabad (2011).

Specialization

Geoinformatics under Andhra University in collaboration with Indian Institute of Remote Sensing (ISRO, Govt. of India),

Dehradun (Uttarakhand).

Experience

1. GIS Developer in BhuNak Research Lab.

2. Python Programmer with Geospatial Analyst in Indicus Analytics: Premier

Economic Research Firm (January, 2015 to March, 2015).

3. Lecturer in IMS Engineering College, Ghaziabad for ISRO EDUSAT Programme and M.C.A (6 Months from August, 2014 to January 2015).

4. GIS Specialist at Quantta Analytics (1 April 2014 to 30 April 2014). 5. GIS Specialist at Directorate of Economics and Statistics, Planning

Department, Government of Uttarakhand (1 March 2014 to 31 March 2014).

6. Student Assistantship at “EOAM- Monitoring and Assessment of Mountain Ecosystem and Services in North-West Himalayas” under the department of Indian Institute of Remote Sensing, ISRO under the Department Of Space, Government of India”. (1 July 2013 to 31 August 2014).

Research Project

Title An Algorithm Development using Agent Based Modeling and Simulation for Land Use Land Cover Change under Geospatial Framework.

Project Brief An application was developed for predicting future scenarios for urban Land Use Land Cover change by creating an algorithms based on socio economic factor using agent based modeling approach. Objective of this research was to develop a framework based on the interaction of agent and its behavior with different agents and environment for study urban scenario. Using this model, we can predict the important factors which are directly or indirectly affect the pattern of settlement in the city like next city centers, massive settlement in part of the city, future government policy for land, urban mobility, and investment. In this study, agent based modeling, with dynamic approach in identifying

settlement pattern based on socio-economic, demographic and commercial factors

that are affecting the housing market in relation to income, is used. Proximity rules

are designed to influence the households’ decision to build a house in the area of

their choice. The entire sets of rules have some limitations because of the agent’s

heterogenetic nature to interact with the environment and also because of the

influence of the land market representation. Proximity rules are : the agent’s

preference to stay in his known area or search for an area where the

neighborhoods factors are more to his satisfaction and convenience; resource

constraints that define the buying capability of the agent; competitive bidding that

indicates the agent’s capacity to own a land of his own choice. Agent is defined in

terms of households. During simulation household is categorized in terms of low

income residential, medium income residential and high income residential where

categorization is done on the basis of land occupied. There is an increase in the

housing options for household agents because of increase in expansion of the city

or the households moving away from the city center. Socio economic status

changes with the demand of land so as to accommodate the increased population.

Change in diversity is monitored to study the urban settlement pattern over time.

Software Exposure ArcGIS, ERDAS Imagine , Quantum GIS, PostgreSQL , PostGIS, R, Google SketchUp, ESRI City Engine, NetLogo, Repast, Idrisi, eCognition, Idle, ENVI.

Programming Exposure Python, OpenGL, WebGL, R, Matlab.

Duration 1 4 months

Funded

Project

Graduation

Project

Other

Project

Title

ISRO IGBP LULC Model for prediction for Spatio-Temporal distribution of LULC of Dehradun from 1985-2011.

Project Brief

A Funded project under ISRO IGBP Project “EOAM- Monitoring and Assessment of Mountain Ecosystem and Services in North West Himalayas”. In this project, a new model is developed which work on three different aspects of regression i.e. linear regression, logistics regression and Neural Regression. Different parameters are been identified for prediction of settlements in Dehradun city. Different types of drivers are prepared for the model based on the parameters identified during the study. These parameters are distance to school, distance to hospitals, distance to road, elevation, population density, household density and distance to built-up density. These drivers are then spatial mapped with LULC of 1985 to 1995 and selected regression model is implemented. In this model, use can also change the spatial distribution of the classes depending upon user requirement. Class inertia is also applied to restrict the classes for expansion. Different modules are created for finding standard deviation, standard error, and confusion matrix and accuracy assessment.

Technologies Used

R, Python, PyQt

Duration

12 Months

Title Student Teacher Relationship Management

Project Brief Developed a web Based Application for online tracking of student’s performance in college. It comprise of details of attendance in class, Lecture notes of different lectures department wises, semester wise details of marks obtain by student with resume builder based on college perform for placements.

Technologies Used Core Java, Java Swings, Oracle

Duration 6 months

Title Agent Based Modeling approach Hospital Management System

Project Brief Agent Based modeling approach is a different type of computational models for simulating the action and interactions of autonomous agent with a view to assessing their effects on the system as a whole. It combines element of game theory, complex systems, emergence, computational sociology, multi-agent systems and evolutionary programming. Using Agent Based Modeling approach we can predicted where is the next hospital can be located so that it will be near to most prominent accident points.

This approach can be used for traffic simulation, Banking Management, Urban Planning and more .In this Project a

Technologies Used Python, Postgres, PostGis, Qgis, ArcGis, Repast and Agent Analysis.

Duration 2 months

Title Correction of high resolution satellite images using Image Processing Techniques.

Project Brief Developed a tool for Image processing for correction of satellite images. Various functionalities like radiometric correction, atmospheric correction, projection change indexed images; contrast enhancement etc. can be performed.

Technologies Used Core Java, Java Scripts, Gdal Libraries.

Duration 2 months

Title

Land Use/Land Cover changes: Its impact on Spatio Temporal Distribution of Vector borne diseases in Ghaziabad, India and Creation of Web Based Near Real Time Disease Outbreak Detection System.

Project Brief Geographical information system (GIS) can be effectively used for analysis the spatial distribution of these diseases in Ghaziabad. GIS techniques can be used to examine the relationship between geo-climatic changes, its effects in VBDs and also to identify gaps and areas requiring improvement. Geographical information system (GIS), Global Positioning System (GPS), Remote Sensing (RS) and spatial statistics are the tools to look for analyzing and integration of spatial component in epidemiology of vector borne diseases into research surveillance and control programs. The majority of vector borne disease (VBD) survives in nature by utilizing animals as their vertebrate hosts, and is therefore Zonoses. For a small number of zones, humans are the major host. Vector borne diseases have been the most important worldwide health problem for many years and still represent a constant and serious risk to a large part of the world`s population. Vector borne diseases are prevalent in the tropics and subtropics and are relatively rare in temperate zones. Vector borne diseases are serious public health problem in Southeast Asian countries including India. During rainy season, the region is highly prone to water logging. There are innumerable streams which flow into the river Ganga and Yamuna, the main river of Uttar Pradesh. The dense forest provides shelter and humidity for mosquitoes breeding which may cause increase of vector density. As the population density is low and the breeding sites are very extensive, the ratio of the breeding sites to man is very high. Breeding sites are covered with dense aquatic vegetation which makes it difficult to employ any control agent. Patches of swamps and seepages exist all along the streams and tributaries. There are mainly six (6) vector borne diseases found in the BTAD area, they are Malaria, Dengue, Filaria, Kala-azar, Japanese encephalitis and Chikungunya. These vectors borne diseases are potentially life threatening caused by infected mosquito bite. Man

develops disease after few days of being bitten by an infective mosquito. There are many factors which affect spread of mosquito borne diseases in Uttar Pradesh, India. Like some anthropogenic, geo-climatic, socio-economic factors and way of living of peoples are the major causes. It is essential to understand the factors that causes increased vector densities and hence the transmission of diseases to prevent the emergence and resurgence of more diseases, as well as to serve as basis for effective control. Healthcare system improves the living standards of people of Ghaziabad; healthcare system brings socio-economic standards among them. Health care system provides sustainability and overall growth of the gaps area which requires further improvement.

Technologies Used Python, Set-Scan, Socio Economic data .

Duration 6 months

Title

Location based service for tracking services in time.

Project Brief

Cost effective method of tracking a human's mobility for services are done using two technologies General Packet Radio Service (GPRS) and Global Positioning System (GPS). The whole system allows the user's mobility to be tracked using a mobile phone which is equipped with an internal GPS receiver and a GPRS transmitter. Most of the applications developed so far use a handheld GPS receiver device for tracking the location, but we have reduced the cost of device by using the mobile phone which has an inbuilt GPS receiver. And further the cost is reduced by using GPRS rather than using Short Message Service (SMS) for communicating the information to the server.

Technologies Used Core Java, Java Scripts, Gdal Libraries , HTML, XML, Python.

Duration 2 months

Title

Semantic Web Services for e-Health systems

Project Brief

XML and Web Services are rapidly becoming the industrial standard for integrating distributed systems. XML technologies provide an efficient way of dealing with syntax and structural interoperability, whereas Web Services technologies provide a standard exchange mechanism across diversified platforms, systems and

networks. As a matter of fact, Web Services and XML present an efficient solution to reduce efforts and to quicken the process of creating interfaces that allow the communication between heterogeneous systems, employing the so called Services Oriented Architecture. The current trend in dealing with maintenance of an application protocol is to manage it not on a syntactic but on a semantic level. Data structure and sequencing information are enhanced with semantic information that encodes the definition of each element of data including its relationship with each other element. The key elements enabling the shift from a purely syntactic to a semantic interoperability are ontologies; they are semantic models of the data and they interweave human understanding of symbols with their machine process ability.

Technologies Used Core Java, Java Scripts, Gdal Libraries , HTML, XML, Python, Semantic web, Web service, XML.

Duration 2 months 1. Integration of Cellular Automata and Agent Based Modeling for Studying the

Impact of Socioeconomic Parameters on Urban Settlement Land Use Pattern at Intra City Level- a study in Dehradun city, India. Journal : Journal of Remote Sensing Environment Status : Under Review

2. Comparative Performance Study of Various 3D spatial operations on 3D geo-data and role of spatial indexing techniques in GeoRDBMS in Single and Multiuser Environment. Journal : International Society for Photogrammetry and Remote Sensing Status : Under Review

3. Comparison of agent based modeling with other modeling approach for urban land use pattern. Journal : Scientific Society of Advanced Research and Social Change Status : Under Review

Geo-computing modeling and statistics, 3D Geo-information, Web GIS, Spatial database and Modeling, Geo-statistics, GIS Analysis, GPS, UML Modeling, Geoserver, Mapserver, Agent Based Modeling and Simulation, R Statistical Analysis and Image Processing algorithms. Python, C, C++, Core Java, Java Swings, HTML, XML, JavaScript, JSP, PHP, OGC Web services for WebGIS Applications, OpenGL, WebGL, Webservers ( WebLogic, Apache Tomcat), PL/SQL, SQL, R, Matlab.

Areas of Interest

Paper

Submitted

Programming

Language

Exposure

1. Internship at “Directorate of Economics and Statistics, Planning Department, Government of Uttarakhand” for the project” B.S.L.L.D-Basic Statistics for Local Level Development”.

2. Internship for the Project “EOAM- Monitoring and Assessment of Mountain Ecosystem and Services in North-West Himalayas” under the department of Indian Institute of Remote Sensing, ISRO under the Department Of Space, Government of India”.

3. Internship at “Quantta Analytics” as” GIS Specialist”.

4. Merit Certificate in B.Tech- 3rd

Year. 5. College Representative at JNTU-Hyderabad-IITMadras. 6. Completed NCC Certificate “B”.

Referees

M.Tech Supervisors

Mr. Ashutosh Kumar Jha

Scientist – SD akjha@iirs.gov.in contact: +91 9760566845

Field of Expertise – Computer Algorithm, Image Segmentation, 3D visualization & modeling, Geostatistics, Database management

Mrs. Kshama Gupta

Scientist – SE kshama@iirs.gov.in contact: +91 9219021565

Field of Expertise – Urban Planning, 3D modeling, Lidar data processing

1. Mr. Sushil Kumar Srivastav

Head of Department, Geoinformatics Department, IIRS Scientist – SG sksrivastav@iirs.gov.in contact: +91 9410148545 Field of Expertise - Geologic Remote Sensing, Ground water Hydrology

2. Mr. P. L. N. Raju Group Head, Remote Sensing and Geoinformatics Group, IIRS Scientist – SG raju@iirs.gov.in contact: +919411768991 Field of Expertise - Geoinformatics, 3-D GIS, Geovisualisation

Special Mention

Personal

Details

Name- Vivek Kumar Singh

Date Of Birth- 16/12/1989 Father Name- ML Singh

Mother Name-Kiran Bala Singh

Language Know- English, Hindi, Bhojpuri

Address-H.No 1-10-10/2, Sai Geetha Nilayam, Temple Alwal, Secunedrebad-500010.

DECLARATION

I hereby declare that all the statements made in this CV are true to the best of my knowledge and belief.

Vivek Kumar Singh december.keviv@gmail.com

Contact: +91 8126020112

Personal

Details