Manos Kapritsos is an Associate Professor at the Computer Science and Engineering Department at the University of Michigan. He received his PhD from the University of Texas at Austin in 2014. His research focuses on making formal verification a practical alternative to testing. His papers have received a Distinguished Paper Award at PLDI and a Distinguished Paper Award at USENIX Security. He is a recipient of the Google Faculty Award, the NSF CAREER award and the Holt Award for Excellence in Teaching.

Bobby Kleinberg is a Professor of Computer Science at Cornell University and a part-time Research Scientist at Google. His research concerns algorithms and their applications to machine learning, economics, networking, and other areas. Prior to receiving his doctorate from MIT in 2005, Kleinberg spent three years at Akamai Technologies; he and his co-workers received the 2018 SIGCOMM Networking Systems Award for pioneering the first Internet content delivery network. He is a Fellow of the ACM and a recipient of the ACM SIGecom Mid-Career Award for advancing the understanding of on-line learning and decision problems and their application to mechanism design.

Adam Klivans is a professor of computer science and director of IFML, the NSF AI Institute for Foundations of Machine Learning.  He is also the director of UT-Austin's Machine Learning Lab and is a founder of UT's Center for Generative AI.

Iacopo is an associate professor at the Department of Computer Science at Sapienza, University of Rome, and was an Adjunct Research Assistant Professor at USC till August 2022. He received his PhD in computer vision from the University of Florence and was a PostDoc and Research Scientist at the University of Southern California (USC) and the USC Information Sciences Institute. Before Sapienza, he was a Research Assistant Professor at USC and co-PI of the DARPA GARD project. He has held leadership roles in major international conferences such as ICCV, ECCV, and CVPR and has organized several workshops, including "Unlearning and Model Editing (U&Me)" at ECCV 2024 and ICCV 2025. He is also the general chair of ICIAP 2025. For his research, he received the Rita Levi Montalcini Award in 2018. His research interests revolve around deep learning and computer vision. He is currently exploring various interconnected lines of research, including adversarial robustness, inverse problems, and generative AI.