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Jinxiang Chai is currently an associate professor in the Department of Computer Science and Engineering at Texas A&M University. He received his Ph.D in 2006 from the Robotics Institute at Carnegie Mellon. His primary research is in the area of computer graphics and vision with broad applications in other disciplines such as virtual and augmented reality, robotics, human computer interaction, and biomechanics. His most recent interest lies in realtime 3D human motion sensing and its applications in virtual and augmented reality. He draws on ideas from graphics, vision, machine learning, robotics, biomechanics, neuroscience and applied math. He received an NSF CAREER award for his work on theory and practice of Bayesian motion synthesis.