Hemant Surale, PhD

Research Scientist at Meta Reality Labs

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Hemant is an HCI+AI Scientist. His main research interests include Mixed Reality Interfaces (MR), Wearable Computing (Rings and Wristbands), Input Interactions (Gestural interfaces), and Applied AI (Computer Vision).

He holds a Ph.D. in Computer Science from the University of Waterloo, Canada. He was advised by Daniel Vogel, Mark Hancock, and Edward Lank. He has been awarded with the David R. Cheriton Graduate Scholarship three time, IDSA, CS achievement, and the Snap Research Fellowship.

He led/leading impactful research at Meta, Microsoft, Snap, Google/North, and NetApp R&D departments bridging theory and practice. He is passionate about maximizing productivity through user interface design, AI-integrated development, and empirical evaluation, particularly emphasizing fundamental concepts like modes and mode-switching to establish practical design principles for diverse MR applications.

news

May 28, 2024 Two of our intern papers on text-entry topic got conditionally accepted at ISMAR’24. :sparkles: :tada:
Jan 26, 2024 Our intern Junxiao (Shawn) is off to start an assistant professor position at the University of Bristol, UK. Congrats!! :sparkles:
Jun 26, 2023 Our paper on text-entry method for AR (STAR) is conditionally accepted at UIST’23.
Jun 26, 2023 Our intern Taejun presented the STAR paper at UIST’23.

selected publications

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    Gesture2Text: A Generalizable Decoder for Word-Gesture Keyboards in XR Through Trajectory Coarse Discretization and Pre-training
    Junxiao Shen, Khadija Khaldi, Enmin Zhou, and 2 more authors
    In Proceedings of the IEEE Transactions on Visualization and Computer Graphics, 2024
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    RingGesture: A Ring-Based Mid-Air Gesture Typing System Powered by a Deep-Learning Word Prediction Framework
    Junxiao Shen, Roger Boldu, Arpit Kalla, and 3 more authors
    In Proceedings of the IEEE Transactions on Visualization and Computer Graphics, 2024