Program details for the ORNL Core Universities AI Workshop 2023 are updated regularly.
Day 1 Agenda Overview
| 8:00am | Registration | Ballroom Break Area | |
| 8:00am-8:45am | Continental Breakfast | Ballroom Break Area | |
| 8:45am-9:10am | Opening Remarks | Georgia Tech and ORNL |
| 9:15am-10:00am | Keynote 1 “Fusing AI and Optimization for Science and Engineering” | Pascal Van Hentenryck, Georgia Institute of Technology |
| 10:00am-10:30am | Coffee Break | Ballroom Break Area | |
| 10:30am – 11:45am | Talk Session 1 | |
| 10:30am-10:55am | “Can traditional Linear Algebra benefit from AI?” | Piotr Luszczek, University of Tennessee Knoxville |
| 10:55am-11:20am | “A Stochastic Maximum Principle Approach for Reinforcement Learning with Parameterized Environment” | Feng Bao, Florida State University |
| 11:20am-11:45am | “Operationalizing AI for Plant Science” | Chris Reberg-Horton, North Carolina State University |
| 11:45am-1:15pm | Lunch Buffet | Conference Dining Room | |
| 1:15pm-2:15pm | Panel Discussion 1 “Science in the age of Generative AI” Panelists – Shaun Gleason (ORNL), Kalyan Perumalla (DOE), Alyson Wilson (NCSU), Xuan Wang (Virginia Tech) | Moderator: Prof. Polo Chau, Georgia Institute of Technology |
| 2:15pm-3:00pm | Keynote 2 “How Can AI Contribute to Scalable Technologies Addressing the Nation’s Decarbonization Challenges?” | David Sholl (ORNL) |
| 3:00pm-3:30pm | Coffee Break | Ballroom Break Area | |
| 3:30pm – 4:55pm | Talk Session 2 | |
| 3:30pm-3:55pm | “DMON: Deep Multi-Resolution Operator Network for Chaotic Inverse Problems” | Adrian Sandu, Virginia Tech |
| 3:55pm-4:20pm | “AI-driven Automated Computational Experiment Generation” | Suresh Marru, Georgia Institute of Technology |
| 4:20pm-4:55pm | “GNNs and LLMs for Materials Science” | Guojing Cong, Oak Ridge National Laboratory |
| 5:00pm-5:15pm | Windup | |
| 6:30pm-8:30pm | Dinner | Georgian Terrace Hotel; Piedmont Ballroom 659 Peachtree Street NE – 0.5 miles – 10 mins walk |
Day 2 Agenda Overview
| 8:00am | Registration | Ballroom Break Area | |
| 8:00am-8:45am | Continental Breakfast | Ballroom Break Area | |
| 8:45am-9:00am | Opening Remarks | |
| 9:00am-9:45am | Keynote 3 “Driving Innovation in AI for Science” | Lynne E. Parker, University of Tennessee Knoxville |
| 9:45am-10:15am | Coffee Break | Ballroom Break Area | |
| 10:15am – 11:55am | Talk Session 3 | |
| 10:15am-10:40am | “Privacy for Network Science and Public Health” | Anil Vullikanti, University of Virginia |
| 10:40am-11:05am | “A Statistician’s Journey: From Bayes to AI” | Alyson Wilson, North Carolina State University |
| 11:05am-11:30am | “AI Security in Practice” | Edmon Begoli, Oak Ridge National Lab |
| 11:30am-11:55pm | “The Role of Planning and Pre-training in Uncovering Symbolic Mathematical Expressions” | Chandan Reddy, Virginia Tech |
| 11:55pm-1:00pm | Lunch | Conference Dining Room | |
| 1:00pm-2:00pm | Panel Discussion 2 “Scientific and Trustworthy AI Models” Panelists – Lars Ruthotto (Emory), Catherine Schuman (UTK), Neil Gong (Duke), Dimitrios Psaltis (Georgia Tech) | Moderator: Michael Parks (ORNL) |
| 2:00pm – 3:15pm | Talk Session 4 | |
| 2:00pm-2:25pm | “Knowledge-guided Machine Learning: Overview and Applications of Combining Scientific Knowledge with Machine Learning” | Anuj Karpatne, Virginia Tech |
| 2:25pm-2:50pm | “Data-Centric AI for Real-World Graph Applications” | Tyler Derr, Vanderbilt University |
| 2:50pm-3:15m | “Secure and Privacy-preserving Federated Learning” | Neil Gong, Duke University |
| 3:15pm – 3:30pm | Closing Remarks | |
| 3:30pm-4:00pm | Coffee Break | Ballroom Break Area |