Day 1: Randall Hill, Jr. (keynote title TBD) |
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Abstract: TBD Speaker bio: Randall W. Hill, Jr. became the executive director of the USC Institute for Creative Technologies in 2006. A leader in understanding how classic storytelling and high-tech tools can create meaningful learning experiences, Hill steers the institute's exploration of how virtual humans, mixed reality worlds, advanced computer graphics, dramatic films, social simulations and educational video games can augment more traditional methods for imparting lessons. He oversees a diverse team of scientists, storytellers, artists and educators as they pioneer and evaluate new ways to deliver effective teaching and training in areas including leadership, cultural awareness, negotiation and mental health treatment and assessment. Hill is also a research professor of computer science at the USC Viterbi School of Engineering. His research focus is on using intelligent tutoring systems and virtual humans to create immersive learning environments. Hill's career at USC began in 1995 at the USC Information Sciences Institute where he worked on the development of models of human behavior and decision-making for real-time simulation environments. He joined the USC Institute for Creative Technologies in 2000 as a senior scientist. Prior to his work at USC, Hill served as a group supervisor and the work area manager for network automation in the Deep Space Network Advanced Technology Program at NASA’s Jet Propulsion Laboratory. Hill graduated with a bachelor of science degree from the United States Military Academy at West Point and subsequently served as a commissioned officer in the U.S. Army for six years with assignments in field artillery and military intelligence. He earned his M.S. and Ph.D. degrees in computer science from the University of Southern California. He is a member of the American Association for Artificial Intelligence and has written over 50 technical publications, including a co-authored article, "Toward Virtual Humans" featured in AI Magazine in the summer of 2006. |
Day 2: Georgia Gkioxari (keynote title TBD) |
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Abstract: TBD Speaker bio: Georgia is an Assistant Professor at the Computing + Mathematical Sciences at Caltech. She obtained her PhD in Electrical Engineering and Computer Science from UC Berkeley, where she was advised by Jitendra Malik. Prior to Berkeley, she earned her diploma from the National Technical University of Athens in Greece. After earning her PhD, she was a research scientist at Meta AI. In 2021, she received the PAMI Young Researcher Award, which recognizes a young researcher for their distinguished research contribution to computer vision. She is the recipient of the PAMI Mark Everingham Award for the open-source software suite Detectron. In 2017, Georgia and her co-authors received the Marr Prize for “Mask R-CNN” published and presented at ICCV. She was named one of 30 influential women advancing AI in 2019 by ReWork and was nominated for the Women in AI Awards in 2020 by VentureBeat. Georgia’s research focuses on machine vision, namely teaching machines to see. Our world is complex, it is three dimensional and it is dynamic. Computational models get to observe this world from imagery but only partially as visual data does not completely capture the richness of the world we live in. The goal of Georgia’s work is to design visual perception models that bridge the gap between 2D imagery and our 4D world. |
Day 3: Chloe LeGendre (keynote title TBD) |
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Abstract: TBD Speaker bio: TBD |
