Hemant Bhaskar Surale

Hemant Bhaskar Surale is a researcher specializing in Human-Computer Interaction (HCI) and Artificial Intelligence (AI), with expertise in designing and evaluating human-centered systems. His research focuses on areas such as mixed reality, wearable sensing technologies, and multimodal input. He integrates machine learning, perceptual modeling, and human factors in his work, particularly exploring devices associated with the wrist, hand, or face. Hemant has held senior research positions at organizations including Meta, Huawei, Snap, Microsoft Research, Google/North, and NetApp. His work has encompassed real-time tracking with wearable sensors, gaze-based interaction, haptic feedback in augmented reality (XR), and multi-device fluid interfaces. He holds a PhD in Computer Science from the University of Waterloo and has received accolades such as the David R. Cheriton Graduate Scholarship, CHI and ISS Best Paper Honorable Mentions, and the Snap Research Fellowship. He has published extensively in top-tier venues such as CHI, UIST, and ISMAR and holds multiple patents in the field of HCI.

• Tenure Unspecified | Meta, Huawei, Snap, Microsoft Research, Google/North, NetApp | Senior Research Roles
  • Researched and developed human-computer interaction systems, including real-time wearable sensor tracking, gaze-based interaction, haptic feedback in augmented reality, and multi-device fluid interfaces.
• Early Career | Oracle, NetApp
  • Worked on database functionality development and optimization of distributed storage systems.

• Up to 2020·University of Waterloo·PhD
  • Field: Computer Science
  • Research: Freehand mode switching in touch and in-air interfaces
  • Advisors: Daniel Vogel, Mark Hancock, Edward Lank
• Date Unspecified | University of Waterloo | Master's Degree
  • Specific field and research focus not detailed