Hemant Surale, PhD

Reimagining Keyboards at TickerKey

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Hemant is an AI researcher focused on understanding and modeling human behavior. He applies machine learning, computer vision, and sensor fusion to build intelligent systems people interact with through gaze, gesture, and wearable devices.

He has held research roles at Meta, Huawei, Snap, Microsoft Research, and Google/North, working on problems ranging from gaze-based interaction and haptic feedback to real-time sensing with wearable devices.

He holds a Ph.D. in Computer Science from the University of Waterloo, advised by Daniel Vogel, Mark Hancock, and Edward Lank. He received the Snap Research Fellowship, the David R. Cheriton Graduate Scholarship (three times), and Best Paper Honorable Mentions at CHI and ISS. He holds multiple patents and publishes at CHI, UIST, and ISMAR.

news

Aug 5, 2025 Happy to announce that Ruei-Che’s paper on exploring visual-audio modality transitions for mobile contexts has been accepted at UIST’25!! :tada:
Jan 18, 2025 Happy to announce that Shwetha’s paper on multimodal voice and gesture interaction techniques has been conditionally accepted at CHI’25!!:tada:
May 28, 2024 Two of our intern papers on text-entry topic got conditionally accepted at ISMAR’24. :sparkles:
Jan 26, 2024 Our intern Junxiao (Shawn) is off to start an assistant professor position at the University of Bristol, UK. Congrats!!

selected publications

  1. Viago.jpg
    Viago: Exploring Visual-Audio Modality Transitions for Social Media Consumption on the Go
    Ruei-Che Chang, Tovi Grossman, Carine Rognon, and 4 more authors
    In Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology, 2025
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    Gesture and Audio-Haptic Guidance Techniques to Direct Conversations with Intelligent Voice Interfaces
    Shwetha Rajaram, Hemant Bhaskar Surale, Codie McConkey, and 4 more authors
    In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025