| Time | Item/Area | Presenter(s) |
|---|---|---|
| 8:00 am | Morning Refreshments and Welcome Gathering | |
| 8:50 am | Welcoming Remarks | Matthias Zwicker |
| 9:00 am | AI & Computer Graphics | Matthias Zwicker |
| 9:10 am | MetaComputing and MetaPhysics | Ashok Agrawala |
| 9:20 am | Trustworthy Machine Learning | Furong Huang |
| 9:30 am | Multisensory Machine Intelligence | Gao Ruohan |
| 9:40 am | Controllable Multi-modal Generative-AI | Tianyi Zhou |
| 9:50 am | BREAK | |
| 10:00 am | Explainable and Efficient ML via Differentiable Forward Models | Ramani Duraiswami |
| 10:10 am | Let's Build the Future of Efficient Computing Together | Bahar Asgari |
| 10:20 am | Code Large Language Models and Security | Yizheng Chen |
| 10:30 am | Brief Introduction to NSA & Peraton | NSA &
Peraton |
| 10:40 am | The parallel programming wall obstacle to making CPUs great again | Uzi Vishkin |
| 10:50 am | BREAK | |
| 11:00 am | Fumeng, FIGX, and Forecasts | Fumeng Yang |
| 11:10 am | Engineering Bodies and Subjectivity | Jun Nishida |
| 11:20 am | Intelligent Small Artifacts | Huaishu Peng |
| 11:30 am | Advancing AI using Extreme-scale Parallel Computing | Abhinav Bhatele |
| 11:40 am | Perception and Intelligence Lab | Abhinav Shrivastava |
| 11:50 am | Buffer time | |
| 12:00 pm | Midday Intermission for Lunch (1 hour) | |
| 1:00 pm | Protecting Users from nationstate-level Adversaries | Dave Levin |
| 1:10 pm | Computational Linguistics and Information Processing | CLIP Lab |
| 1:20 pm | Research in AI and Robotics | Dinesh Manocha |
| 1:30 pm | All the Light We Cannot See: Finding and Using Stuff in Languages You Cannot Read | Douglas Oard |
| 1:40 pm | Learning the Dynamic World | Ming Lin |
| 1:50 pm | BREAK | |
| 2:00 pm | Cognitively-Enhanced Robotic Manipulation across Sea, Air, and Land | Yantian Zha |
| 2:10 pm | Zero-knowledge proofs | Ian Miers |
| 2:20 pm | The Motion and Teaming Laboratory | Otte Michael |
| 2:30 pm | Harnessing Generative AI to Support Exploration and Discovery in Library and Archival Collections | Richard Marciano |
| 2:40 pm | TBD | Jia-Bin Huang |
| 2:50 pm | BREAK | |
| 3:00 pm | Spatial Databases and User Interfaces at UMD | Hanan Samet |
| 3:10 pm | Programming Languages and Correct System Design | Milijana Surbatovich |
| 3:20 pm | Human-Data Interaction | Leo Zhicheng Liu |
| 3:30 pm | Data Management | Amol Deshpande |
| Concluding Remarks | Amol Deshpande | |
Artificial Intelligence (AI) has a long history in our department, and currently supports a very dynamic program of research and education. Our educational curriculum provides a broad range of courses including introductory AI, automated planning, cognitive modeling, commonsense reasoning, evolutionary computation, game theory, machine learning, multi-agent systems, natural language processing, and neural computation. The AI group has consistently ranked high in external national assessments: for example, in the US News ranking of best graduate schools, our AI program is ranked 9th among all universities and 6th among public universities.
Many of our former students have gone on to very high levels of achievement. Examples include Vipin Kumar (PhD 1982), Fellow of the AAAS, ACM, and IEEE; Qiang Yang (PhD 1989), Fellow of the IEEE; Naresh Gupta (PhD 1993), Senior Vice President at Adobe; Lee Spector (PhD 1992), Fellow of the ISGEC; Gary Flake (PhD 1993), Microsoft Distinguished Engineer and well known author of The Computational Beauty of Nature; Narendra Ahuja (PhD 1979), Fellow of the IEEE, AAAI , SPIE, and ACM; and Granger Sutton (PhD 1992), whose software was used in the first-ever assembly of the complete whole genome of a free-living organism, the Haemophilus influenzae genome.
