Pooyan Fazli

Pooyan Fazli is an Assistant Professor in The GAME School and the Media and Immersive eXperience (MIX) Center at Arizona State University, where he directs the People and Robots Laboratory (PeRL). His research focuses on robot learning and human-robot interaction, with a strong emphasis on multimodal learning that integrates vision, language, and video understanding. His work explores how robots and intelligent systems can learn from complex sensory data to collaborate effectively with humans, particularly in assistive and accessibility-oriented applications. He earned his Ph.D. in Computer Science from the University of British Columbia and completed postdoctoral research at Carnegie Mellon University’s CORAL Research Group and the Laboratory for Computational Intelligence at UBC. He is affiliated with ASU’s Center for Human, Artificial Intelligence, and Robot Teaming (CHART) and serves as graduate faculty in Computer Science, Robotics and Autonomous Systems, and Media Arts and Sciences. His research has been supported by organizations including the National Science Foundation, National Institutes of Health, NASA, Google, Amazon, and ASU, with projects spanning accessible AI, video understanding, and human-centered autonomous systems.