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Our Team

Students

Yu Jin Goh

Yu Jin Goh is a graduate student in the Master of Science in Computer Vision program at Carnegie Mellon University. He earned his Bachelor’s degree in Information Systems Technology and Design from the Singapore University of Technology and Design. Prior to CMU, he spent five years at DSO National Laboratories as a computer vision algorithms engineer, where he developed solutions for a wide range of vision-based applications.

​‌‍‎‏ Yu Hsuan Li

Yu-Hsuan Li is also pursuing a Master of Science in Computer Vision at Carnegie Mellon University. She holds an M.S. in Computer Science and Engineering from National Yang Ming Chiao Tung University and a B.S. in Electrical Engineering and Computer Science from National Chiao Tung University. Before joining CMU, she worked as a software engineer at Tron Future Tech for over two years, contributing to robotics products through learning-based detection models, control algorithms, and data pipelines. Her research interests lie in bridging learning-based perception with control theory to advance robotic autonomy.

Advisors

Prof. Deva Ramanan

Deva Ramanan is a Professor at the Robotics Institute, Carnegie Mellon University, and the former director of the CMU Center for Autonomous Vehicle Research. His work spans computer vision, graphics, and machine learning. He received the Longuet-Higgins Prize in both 2024 and 2018 for fundamental contributions to computer vision and has earned recognition at ICCV, ECCV, and CVPR. He is a Kavli Fellow of the National Academy of Sciences and was named to Popular Science’s Brilliant 10. His research is funded by NSF, ONR, DARPA, and industry partners such as Intel, Google, and Microsoft. He served as program chair for CVPR 2018 and will be the general chair for CVPR 2027. He also holds editorial positions with IJCV and IEEE PAMI and serves on NSF panels for vision and learning.

​‌‍‎‏ Prof. Zachary Manchester

Zachary Manchester is an Assistant Professor at the Robotics Institute, CMU, and leads the Robotic Exploration Lab. His research focuses on agile, robust robotic systems through control, estimation, optimization, and physics. His work spans a range of platforms, including drone swarms, legged robots, and miniature satellites. With a Ph.D. in Aerospace Engineering and a B.S. in Applied Physics from Cornell University, Dr. Manchester brings a strong academic foundation. Prior to joining CMU, he held research and engineering roles at Harvard, Stanford, NASA Ames, and Analytical Graphics, Inc. Prof. Manchester founded the KickSat project and serves on the Breakthrough Starshot Advisory Committee. His work has earned him a NASA Early Career Faculty Award and a Google Faculty Research Award.

​‌‍‎‏ Dr. Gengshan Yang

Gengshan Yang is a research scientist at World Labs in San Francisco. He received his Ph.D. in Robotics from Carnegie Mellon University, advised by Prof. Deva Ramanan. His work focuses on 3D computer vision—particularly the inference of motion, structure, and physics from video. He is a recipient of the 2021 Qualcomm Innovation Fellowship.

​‌‍‎‏ John Zhang

John Zhang is a Ph.D. student in Robotics at Carnegie Mellon University, advised by Prof. Zachary Manchester. His interests include modeling and decision-making for robotics, with a focus on optimization and machine learning. He completed his M.S. in Robotics at CMU in 2024, where he worked on legged locomotion. Before that, he earned a B.S. in Mechanical Engineering from Georgia Tech and conducted research under Ye Zhao and Matthew Gombolay.