Katerina Fragkiadaki
Bio: Katerina Fragkiadaki is the JPMorgan Chase Associate Professor in the Machine Learning Department in Carnegie Mellon University. She received her undergraduate diploma from Electrical and Computer Engineering in the National Technical University of Athens. She received her Ph.D. from University of Pennsylvania and was a postdoctoral fellow in UC Berkeley and Google research after that. Her work focuses on combining forms of common sense reasoning, such as spatial understanding and 3D scene understanding, with deep visuomotor learning. The goal of her work is to enable few-shot learning and continual learning for perception, action and language grounding. Her group develops methods for computer vision for mobile agents, 2D and 3D visual parsing, 2D-to-3D perception, vision-language grounding, learning of object dynamics, navigation and manipulation policies. Pioneering innovations of her group’s research include 2D-to-3D geometry-aware neural networks for 3D understanding from 2D video streams, analogy-forming networks for memory-augmented few-shot visual parsing, and language-grounding in 2D and 3D scenes with bottom-up and top-down attention. Her work has been awarded with a best Ph.D. thesis award, an NSF CAREER award, AFOSR Young Investigator award, a DARPA Young Investigator award, Google, TRI, Amazon, UPMC and Sony faculty research awards. She is a program chair for ICLR 2024.
Sean B. McGregor
Bio: Sean McGregor is a machine learning safety researcher whose efforts have included starting up the Digital Safety Research Institute at the UL Research Institutes, launching the AI Incident Database, and training edge neural network models for the neural accelerator startup Syntiant. With an applications-centered research program spanning reinforcement learning for wildfire suppression and deep learning for heliophysics, Sean has covered a wide range of safety critical domains. Sean's open source development work has earned media attention in the Atlantic, Der Spiegel, Wired, Venture Beat, Vice, and Newsweek while his technical publications have appeared in a variety of machine learning, HCI, ethics, and application-centered proceedings. In addition to serving as Executive Director for the AI Incident Database, Sean cofounded the AI Verification and Evaluation Research Institute (AVERI) and leads the agentic benchmarking workstream with MLCommons.
Sven Koenig
Bio: Sven Koenig is Chancellor's Professor and Bren Chair at the University of California, Irvine. Most of his research centers around techniques for decision-making that enable single situated agents (such as robots or decision-support systems) and teams of agents to act intelligently in their environments and exhibit goal-directed behavior in real-time, even if they have only incomplete knowledge of their environments, imperfect abilities to manipulate them, limited or noisy perception or insufficient reasoning speed. Sven is a fellow of the Association for the Advancement of Artificial Intelligence (AAAI), the Association for Computing Machinery (ACM), the Institute of Electrical and Electronics Engineers (IEEE), and the American Association for the Advancement of Science (AAAS). Additional information about Sven can be found on his webpages: idm-lab.org.
William Tjhi
Bio: William Tjhi has nearly two decades of experience in applying machine learning to industry problems. He earned his PhD from NTU in 2008, focusing on unsupervised learning for text data. His career includes time at A*STAR, where he scaled up ML with distributed systems, and at GovTech, where he contributed to early data science efforts. As the lead NLP at Traveloka, he tackled the challenges of NLP in low-resource Bahasa Indonesia, inspiring him to initiate a program for building NLP resources for Southeast Asian languages at AI Singapore. William was a foundational engineer for AI Singapore's 100 Experiments and AI Apprenticeship Program. Currently, he leads applied research on Regional LLMs in AI Singapore's AI Products division, provides AI technical advisory to MDDI Translation Technology, and actively participates in regional AI communities like Data Science Indonesia, Data Science SG, and Cambodia's AI Forum.