Wei Zhan
Scholar

Wei Zhan

Google Scholar ID: xVN3UxYAAAAJ
Co-Director of Berkeley DeepDrive, UC Berkeley; Chief Scientist of Applied Intuition
AI for autonomous systems
Citations & Impact
All-time
Citations
8,577
 
H-index
42
 
i10-index
95
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • 1. Best Paper Award in Automation of ICRA 2025
  • 2. Best Paper Award of ICRA 2024
  • 3. Best Paper Award – Honorable Mention of IEEE Robotics and Automation Letters
  • 4. Best Student Paper Award in IV 2018
  • 5. 2024 ITS Team Leadership Award from Institute of Transportation Studies at UC Berkeley
  • 6. Published multiple research papers on reinforcement learning, control, autonomous racing, generative models, 3D reconstruction, neural simulation, manipulation, diffusion policy, robot learning from human, 3D perception, fusion, data engine, behavior generation, language reasoning, and diagnosis
Research Experience
  • 1. Co-Director of Berkeley DeepDrive
  • 2. Co-Director of BAIR Center for Humanoid Intelligence
  • 3. Assistant Professional Researcher at UC Berkeley, leading a team of Ph.D. students and Postdocs
  • 4. Chief Scientist at Applied Intuition, leading research efforts towards next-generation autonomy and toolchain
Education
  • Ph.D. from UC Berkeley
Background
  • Research Interests: AI for scalable autonomous systems, including robotics, computer vision, machine learning, and control techniques. Professional Field: Autonomous driving and general robotics.
Miscellany
  • Actively hiring Research Scientists, Research Engineers, and Research Interns
Co-authors
0 total
Co-authors: 0 (list not available)