Siyou Pei

Siyou Pei is a researcher specializing in Extended Reality (XR) and Human-Computer Interaction (HCI), holding a PhD in Electrical and Computer Engineering from the University of California, Los Angeles. His research interests include embodied interaction, artificial intelligence and machine learning, virtual reality (VR), and human-robot collaboration systems. He has published multiple academic papers in top international conferences such as CHI and IMWUT, and developed several open-source tools and patented technologies, including the Auritus Optimization Toolkit and the Forcesight Contactless Force Sensing System. His research has been widely applied in accessibility technologies, robotic control, and human motion modeling, making significant contributions to the integration of XR and AI technologies.

• 2021–Present·University of California, Los Angeles·PhD Researcher
  • Focused on research in Extended Reality (XR) and Human-Computer Interaction, and developed multiple innovative technologies such as the Haptic Artificial Muscle Skin and the UI Mobility Control System.

• 2018–2021·University of California, Los Angeles·Master's Degree
  • Majored in Electrical and Computer Engineering, with a research focus on augmented reality and artificial intelligence.
• 2021–Present·University of California, Los Angeles·PhD Degree
  • Concentrated on interdisciplinary research in Extended Reality, Human-Computer Interaction, and Artificial Intelligence.