BEGIN:VCALENDAR PRODID:-//Faculty of Computer Science//Events Calendar//EN VERSION:2.0 CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20200222T231558Z DTSTART:20191025T163000Z DTEND:20191025T173000Z SUMMARY:Mobile AR/VR with Edge-based Deep Learning DESCRIPTION:This seminar is CSCI 6999 eligible\nSpeaker\nJiasi Chen (UC Riverside)\nAbstract\nAugmented and virtual reality (AR/VR) are at the frontier of mobile computing. While AR/VR applications are gaining popularity today\, the technologies to support these applications are far from mature. This talk will first outline the current state of mobile AR/VR platforms\, including what functionality is currently available\, what is needed/desired\, and how edge computing can support the low latency and high bandwidth requirements of AR/VR. Next\, the talk will discuss the role of deep learning to support AR/VR through two examples: object detection for AR\, and user behavior prediction for VR\, along with their associated systems\, control\, and management challenges. Finally\, the talk will conclude with future directions for networked AR/VR.\nBio\nJiasi Chen is an Assistant Professor in the Dept. of Computer Science & Engineering at the University of California\, Riverside. She received her Ph.D. from Princeton University and her B.S. from Columbia University\, with work experience at AT&T Labs Research and NEC Labs America. Her research interests include edge computing\, wireless/mobile systems\, and multimedia networking\, with recent focus on augmented and virtual reality. She is a recipient of the Hellman Fellowship and the UCR Regents Faculty Fellowship. LOCATION:CS Auditorium (#127)\nGoldberg Computer Science Building\nDalhousie University\n6050 University Avenue\, Halifax URL: UID: END:VEVENT END:VCALENDAR