Keynotes

Nitesh Chawla is the Frank M. Freimann Professor of Computer Science and Engineering and the Founding Director of the Lucy Family Institute for Data and Society at the University of Notre Dame. His research is focused on artificial intelligence and data science, and is also motivated by the question of how technology can advance the common good. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), a Fellow of the Association of Computing Machinery (ACM), Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), and a Fellow of the American Association for the Advancement of Science (AAAS). He is the recipient of multiple awards, including the National Academy of Engineers New Faculty Fellowship, IEEE CIS Outstanding Early Career Award, Rodney F. Ganey Community Impact Award, IBM Big Data & Analytics Faculty Award, IBM Watson Faculty Award, and the 1st Source Bank Technology Commercialization Award. He is founder of Aunalytics, a data science software and cloud computing company.

Graphs, Multimodal Data, LLMs, and Science: From Foundation Models to Applications

Recent advances in AI, have also seen a burgeoning growth of applications in propeling scientific discovery. Specifically there are foundational opportunities in raph learning, LLMS, and learning on multimodal data, as well as a challenge for how to successfully integrate them into scientific domains to advance knowledge discovery. In this talk, I will present our research at the interface of AI for Science, and also identify research opportunities and challenges.