October 27 - Day 1

08:00-9:00
Registration
08:50-09:00
Opening Remarks
9:00-10:00
Keynote I: Modifying Deep Learning for Use in Causal Discovery
David Page, Duke University
10:00-10:25
AI from the Perspective of a School of Data Science
Phil Bourne, University of Virginia
10:25-10:50
Deep Learning for Code Understanding and Generation: Challenges and Opportunities
Chandan Reddy, Virginia Tech
10:50-11:10

Coffee Break

11:10-11:35
Machine Learning for Operational SAR Interferometry: Challenges and Opportunities
Manoochehr Shirzaei, Virginia Tech
11:35-12:00
What’s Under the Clouds: A Deep Inference Framework for Cloud Removal from Multi-sensor Optical Remote Sensing Big Data
Rangaraju Vatsavai, North Carolina State University
12:00-12:45

Lunch

12:45-1:45
Panel Discussion 1
Panel Moderated by Prof. Richard Vuduc, Georgia Institute of Technology.
Panelists : Victor Fung (GATech), Margaret Lentz (DOE), Arjun Shankar (ORNL), Michela Taufer(UTK)
2:00-2:25
Unlocking the performance potential of GNN.
Xipeng Shen, North Carolina State University
2:25-2:50
Improving AI through Adversarial Evaluation
Robert Patton, Oak Ridge National Laboratory
Mark Coletti, Oak Ridge National Laboratory
3:00-3:30

Coffee Break

3:30-4:00
Workshop Report
Guojing Cong, Oak Ridge National Laboratory
4:00-5:00
Keynote II: Dawn of the Exascale Computing Era
Doug Kothe, Director, Exascale Computing Project and Associate Laboratory Directory, Computing and Computations Sciences Directorate
6:30-8:30

Banquet Dinner at SER Restaurant 1110 N Glebe Rd, Arlington, VA 22201

October 28 - Day 2

08:00-9:00
Registration
08:50-09:00
Opening Remarks
9:00-10:00
Bio-social complexity science: The role of AI and computing
Keynote III: Madhav Marathe, University of Virginia
10:00-10:25
AI for Epidemiology
Aditya Prakash, Georgia Institute of Technology
10:25-10:50
Knowledge-guided Machine Learning: Advances in An Emerging Field Combining Scientific Knowledge with Machine Learning
Anuj Karpatne, Virginia Tech
10:50-11:10

Coffee Break

11:10-11:35
Human-Centered AI: Safe, Interpretable, Trustworthy Analytics
Polo Chau, Georgia Institute of Technology
11:35-12:00
Foundational Artificial Intelligence – Closing the Gap to Human Intelligence
Hairong Qi, University of Tennessee Knoxville
12:00-12:45

Lunch

12:45-1:45
Panel Discussion 2
Panel Moderated by Prof. Yiran Chen, Duke University
Panelists : Alex Jones (U. Pitt), Daniel Limbrick(NCAT), Tinoosh Mohsenin(UMBC), Jian Pei(Duke), Robinson Pino(DOE)
2:00-2:25
Machine Learning on Graphs
Tyler Derr, Vanderbilt University
2:25-2:50
Neuromorphic Computing: Algorithms and Applications
Catherine D Schuman, University of Tennessee Knoxville
3:30-3:20

Coffee Break

3:20-3:45
Harnessing Rare Category Trinity for Complex Networks
Dawei Zhou, Virginia Tech
3:45-4:00
Vote of Thanks and Next Year
Contact

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