Bio: 

Yezhou (also goes by ‘YZ’) Yang is an Associate Professor at School of Computing and Augmented Intelligence (SCAI), Arizona State University.  He is directing the ASU Active Perception Group. Dr. Yang was a Postdoctoral Research Associate at the Computer Vision Lab and the Perception and Robotics Lab, with the University of Maryland Institute for Advanced Computer Studies. He got his PhD from the Computer Science department of Univeristy of Maryland.

His primary interests lie in Cognitive Robotics, Computer Vision, and Robot Vision, especially exploring visual primitives in human action understanding from visual input, grounding them by natural language as well as high-level reasoning over the primitives for intelligent robots; His research mainly focused on solutions to visual learning, which significantly reduces the time to program intelligent agents. These solutions involve Computer Vision, Deep Learning, and AI algorithms to interpret peoples’ actions and the scene’s geometry. His research draws on the strengths of the symbolic approach, connectionism, and dynamicism.

Bio: 

Prof. Fabio Galasso is a Professor at Sapienza University of Rome, where he leads the Perception and Intelligence Lab (PINLab) within the Department of Computer Science. Fabio is co-founder and currently CTO of ItalAI. Previously, Fabio founded and directed the Computer Vision Department at OSRAM (Munich, Germany), an international team conducting R&D in artificial intelligence, computer vision and machine learning, in relation to smart lighting applications.

Prior to OSRAM, Fabio conducted research on video analysis and segmentation, scene understanding and clustering at the University of Cambridge (UK) and the Max Planck Institute for Informatics (Germany). He received his Master's Degree cum laude from RomaTre University (Italy) and his PhD from the University of Cambridge (UK), Department of Engineering, following research work on texture analysis and 3D reconstruction. Before and after his Master's Degree, he gained experience as a Researcher in the Ericsson Laboratories and as a Project Engineer in Telecom Italia. In his career, he has been involved in consulting work relating to computer vision.

Fabio has coordinated international European, and national Italian and German projects. He served as GC of ICIAP'25 (the Italian IAPR flagship conference). He regularly serves as (lead) AC at top-ranked international conferences, including CVPR, ICCV, ECCV, NeurIPS, ICML and ICLR, and co-organizes workshops. He is the inventor of 30 granted international patents.

Bio: 

William Shen is a researcher in Computer Science at the University of Cambridge, working on model unlearning and editing under the supervision of Prof. Nic Lane. He is also a PhD Fellow of the Leverhulme Centre for the Future of Intelligence. He previously earned MPhys at the University of Oxford and has held industry research roles at Meta Superintelligence Labs and Oracle Machine Learning Lab. Previously, he also held AI/tech related investment positions at leading Wall Street institutions.

Bio: 

Dr. Xiaoming Liu is a Distinguished Professor at The University of North Carolina at Chapel Hill. Before, he was the MSU Research Foundation Professor and Anil and Nandita Jain Endowed Professor at the Department of Computer Science and Engineering of Michigan State University (MSU). He received Ph.D. degree from Carnegie Mellon University in 2004. Before joining MSU in 2012 he was a research scientist at General Electric (GE) Global Research. He works on computer vision machine learning and biometrics especially on face related analysis and 3D vision. Since 2012 he helps to develop a strong computer vision area in MSU who is ranked top 15 in US according to the 5-year statistics at csrankings.org. He has been Area Chairs for numerous conferences the Co-Program Chair of BTAS’18 WACV’18 IJCB’22 and AVSS’22 conferences and Co-General Chair of FG’23 conference. He is an Associate Editor of Pattern Recognition and IEEE Transaction on Image Processing. He has authored more than 200 scientific publications and has filed 29 U.S. patents. His work has been cited over 20k times according to Google Scholar with an H-index of 69. He received the 2018 and 2023 Withrow Distinguished Scholar Awards from MSU. He is a fellow of The Institute of Electrical and Electronics Engineers (IEEE) and International Association for Pattern Recognition (IAPR). His research has been widely reported in prominent national and international news outlets including the Wall Street Journal CNBC CNET Engadget Fortune the Mac Observer MSU Today New Scientist Silicon Angle VentureBeat and the Verge.