Shenglong Wang

Shenglong Wang is an Assistant Professor in the Department of Computer Science at the University of Illinois Urbana-Champaign (UIUC), affiliated with the Computer Vision @ UIUC, Illinois Robotics Group, and Center for Immersive Computing. He holds a PhD from the University of Toronto and previously worked at Uber ATG. His research focuses on 3D computer vision and robotics, particularly in 3D perception for navigation, digital scene replication, and simulation techniques for autonomy and climate change applications.

Education:

• PhD, Computer Science, University of Toronto
• Research Scientist, Uber Advanced Technologies Group (ATG)

Research Interests:

• 3D Perception and Reconstruction
• Generative Models for Simulation
• Autonomous Systems and Robotics
• Immersive Computing Applications

Recent Article Trends: His work emphasizes realistic 3D modeling, physics-informed simulation, and cross-domain applications like agriculture and climate change. Key topics include generative models (e.g., PhysGen3D), LiDAR simulation (LidarDM), and interactive systems (Video2Game).

Scientific Awards:

• Dean's Award for Excellence in Research (2025)
• NSF CAREER Award (2024)
• Amazon Research Award (2022)

Advising & Grants: Supervises ~20 graduate and undergraduate researchers. Recent grants include Meta-sponsored research on generative models for immersive computing (2024) and Airbrush funding (2025).

Labs & Teams: Leads the 3D Vision and Robotics group, collaborating with industry (Intel, Waabi) and academia (UPenn, Tsinghua University).