Taskin Padir

Northeastern University

Taskin Padir holds concurrent positions as a Professor in the Electrical and Computer Engineering Department at Northeastern University, and an Amazon Scholar. He received his PhD and MS degrees from Purdue University. He is the Founding Director of the Institute for Experiential Robotics at Northeastern University. His research focuses on shared autonomy, human-in-the-loop robotics, embodied AI, and human-robot teaming at the extremes.

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Kate Tsui

Toyota Research Institute

Dr. Katherine (Kate) Tsui is manager of the Human Robot Interaction Research team within the Robotics division at Toyota Research Institute (TRI). Dr. Tsui has 15 years of experience in Human-Robot Interaction (HRI) research and leads the HRI team and university collaborations. Our HRI research focuses on people’s trust towards home robot helpers and using robotic technology to help older adults with social isolation and loneliness.

Dr. Tsui holds a Ph.D. in computer science from the University of Massachusetts Lowell (2014) and was a postdoctoral associate at Yale University (2014­-2016). Dr. Tsui has developed robotic systems and user interfaces and interactions for people with cognitive and motor impairments as the target end-user, including a vision-based wheelchair-mounted robotic arm, social telepresence robots named Hugo and Margo, and a socially assistive robot named Maki. Over the last decade, she has worked with clinicians and end users from several special populations, including children with Autism Spectrum Disorder, teenagers and young adults with Cerebral Palsy, adults and seniors with Brain Injury, and deaf infants. Her human-­robot interaction and human­-computer interaction research interests stem from the cross section of computer science, robotics, and assistive technology. Dr. Tsui is passionate about increasing the quality of life for all people using robotic devices.

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Alex Wong

Yale University

Alex Wong is an assistant professor in the department of computer science at Yale University. He received his Ph.D. in computer science from UCLA in 2019 and was co-advised by Stefano Soatto and Alan Yuille. He was previously a post-doctoral research scholar at UCLA under the guidance of Stefano Soatto. His research lies in the intersection of machine learning, computer vision, and robotics and largely focuses on multi-sensor fusion for 3D reconstruction, robust vision under adverse conditions, unsupervised learning, and medical image analysis. His work has received the outstanding student paper award at the Conference on Neural Information Processing Systems (NeurIPS) 2011 and the best paper award in robot vision at the International Conference on Robotics and Automation (ICRA) 2019.

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