DEEP LEARNING, MACHINE LEARNING,

+ ARTIFICIAL INTELLIGENCE,

SYMPOSIUM

SEPTEMBER 27-28, 2018

SAS WORLD HEADQUARTERS

CARY, NC

INSIDE FRONT COVER

INSIDE FRONT COVER

This is the first symposium of its type held here. We are excited by the opportunity to share minds, foster relationships, and build new avenues of inquiry. For two days, we are focusing on deep learning, machine learning and artificial intelligence technologies. Our collective aim is to explore the ways in which these technologies are transforming diverse scientific, engineering

Welcome

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and business domains.The symposium has two components. One is an educational component that features workshops led by Nvidia instructors on topics including deep learning for health care and image analysis, genomics, image segmentation and classification, neural networks and more. The second is a series of presentations on how these technologies are being used by faculty and students in institutions of higher

education across North Carolina and beyond, as well as by researchers in industry, e.g., SAS. We are pleased to have an extremely diverse presentation series spanning biomedical engineering, medicine, physics, nursing, mechanical engineering, and many more fields of study. The presentations include talks on medical applications including brain imaging, cancer diagnostics, and sepsis detection, as well as interesting applications in shark detection, decision making in gaming, and quantum many body physics, just to name a few. We hope this gathering and sharing of ideas and knowledge will generate new possibilities for collaboration and accelerate discovery. Thank you for joining us at the Deep Learning,

ML, and AI Symposium. We are looking forward to engaging with so many distinguished colleagues and excited to help foster cutting-edge research. The symposium has been organized and sponsored by the Research Computing group at the University of North Carolina at Chapel Hill along with our partners at Nvidia and the SAS Institute. We would also like to thank our colleagues at Duke University and North Carolina State University for their contributions to making this event a reality. We thank, too, SAS and Nvidia for their generous facilitation and sponsorship. It is difficult to imagine better partners. Indeed, this event is emblematic of the fact that we are one community.

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SPEAKER + LAB SCHEDULES

9:00-9:15

THURSDAY, SEPT 27EXECUTIVE BRIEFING CENTER, ROOM 250

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Opening RemarksSPEAKER: Randy GuardExecutive Vice President and Chief Marketing Officer, SAS

WelcomeSPEAKER: Mike BarkerAssociate Vice Chancellor and CTO, Research Computing, ITS, UNC-Chapel Hill

Deep Learning DemystifiedSPEAKER: Jeff LaytonSenior Solution Architect, Nvidia

Break

On Adversarial Training of Deep NetworksSPEAKER: Lawrence CarinJames L. Meriam Professor of Electrical and Computer Engineering, Duke University

SAS Deep Learning: From Toolkit to Fast Model PrototypingSPEAKERS: Wayne Thompson Manager, SAS Data Science Technologies and Andre ViolanteStaff Scientist, SAS

LunchMarketplace Café

Developing a Recommender System for Shark Presence Along East Coast BeachesSPEAKER: Pamela ThompsonFaculty, Business/IS/CS, Catawba College, Adjunct Computer Science, UNC Charlotte

9:15-9:30

9:30-10:30

10:30-10:50

10:50-11:40

11:40-12:30

12:30-1:30

1:30-2:00

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Simulation-Based Learning for Decision Making in FootballSPEAKER: James GilmanGraduate Student, Statistics, NC State University

Leveraging Deep Learning and Rapid Response Team Nurses to Improve Sepsis ManagementSPEAKER: Mark SendakPopulation Health and Data Science Lead, Duke Institute for Health Innovation

Break

Object Detection and Keypoint Detection in SAS Deep LearningSPEAKER: Xindian LongSenior Computer Vision Scientist, Machine Learning Developer, SAS

How AI Might Design Your Next Prescription Medicine?SPEAKERS: Olexandr IsayevAssistant Professor at Eshelman School of Pharmacy, UNC-Chapel Hill

ReceptionNetworking Hall

2:00-2:30

2:30-3:00

3:00-3:15

3:15-4:00

4:00-4:45

5:00-6:30

NVIDIA LAB SCHEDULESEXECUTIVE BRIEFING CENTER, ROOM 09

NOTE: You must already be registered for the lab and have received a confirmation email to attend the lab. All lab sessions are full.

1:30-3:00 Applied Deep Learning Lab

Deep Learning: Getting Started (Image Classification)

3:30-5:00

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FRIDAY, SEPT 28EXECUTIVE BRIEFING CENTER, ROOM 250

Using AI to Extract Deeper Meaning From the FaceSPEAKER: Karl Ricanek Jr.Associate Professor of Computer Science, UNC-Wilmington

Multimodal, Knowledgeable, and Stylistic Language Generation ModelsSPEAKER: Mohit BansalAssistant Professor of Computer Science, UNC-Chapel Hill

Break

Implementing AI systems with InterpretabilitySPEAKER: Ilknur Kaynar KabulSenior Manager, AI and ML R&D, SAS

Applying Machine-learning Techniques to Build Self-Reported Depression Prediction ModelsSPEAKER: Jeeyae ChoiAssociate Professor, School of Nursing, UNC-Wilmington

Computer-Assisted Design: How AI/ML Can Help Engineers Make Better Design DecisionsSPEAKER: Scott FergusonAssociate Professor, Mechanical and Aerospace Engineering, NC State University

LunchMarketplace Café

9:00-9:50

9:50-10:30

10:30-10:50

10:50-11:20

11:20-11:50

11:50-12:20

12:20-1:20

NVIDIA LAB SCHEDULESEXECUTIVE BRIEFING CENTER, ROOM 09

NOTE: You must already be registered for the lab and have received a confirmation email to attend the lab. All lab sessions are full.

10:30-12:00 Deep Learning: Object Detection with DIGITS

Deep Learning: Neural Network Deployment with DIGITS and TensorRT

Image Segmentation (Intermediate)

1:30-3:00

3:30-5:00

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2:10-2:40

2:40-3:10

3:10-3:30

Complex Geospatial Object Based Image Analysis: Algorithms and ApplicationsSPEAKER: Raju VatsavaiChancellor’s Faculty Excellence Program Associate Professor, Computer Science Department, NC State University

Brain MRI Extraction and Prediction Using Deep Neural NetworksSPEAKER: Yi HongAssistant Professor, Computer Science, University of Georgia

Multimodal Feature Fusion and Synthetic Data Generation for Medical Image AnalysisSPEAKER: Faisal MahmoodPostdoctoral Fellow, Biomedical Engineering, Johns Hopkins University

Break

1:20-2:10

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A New Paradigm for Privacy and Private Data RepresentationSPEAKER: Guillermo SapiroJames B. Duke Professor of Electrical and Computer Engineering, Duke University

Deep Learning Quantum MatterSPEAKER: Joaquin DrutAssociate Professor and Melchor Fellow, Physics and Astronomy, UNC-Chapel Hill

Wrap Up, Thank You + Good-byeSPEAKER: Mike BarkerAssociate Vice Chancellor and CTO, Research Computing, ITS, UNC-Chapel Hill

3:30-4:20

4:20-4:50

4:50-5:00