Henrik I. Christensen is the director of Robotics at UC San Diego and the Qualcomm Chancellor’s ch
Seth is a PhD student in the Computer Science and Engineering department. He graduated from the Univ
Jing-Yan is a PhD student in UCSD CSE. He received his master degree in UCSD ECE and his bachelor de
Zihan is a P.h.D student at the Computer Science & Engineering department working with professor Hen
Robin is a Ph.D. student in the Computer Science and Engineering department at UCSD. He received his
Chenghao is a master’s student in Intelligent Systems, Robotics, and Control at the ECE Department
Akshar Tumu is a Master’s student in the Computer Science & Engineering department at UC San Diego
Abhijit is a Master's student at the Department of Computer Science and Engineering in UC San Diego.
Henrik I. Christensen is the director of Robotics at UC San Diego and the Qualcomm Chancellor’s chair of robot systems. Dr. Christensen received his academic training (M.Sc and Ph.D.) from Aalborg University in Denmark. He has since then held positions at Aalborg University, University of Pennsylvania, and Georgia Tech before joining UC San Diego. Dr. Christensen does research on robotics, computer vision and AI with an emphasis on a systems approach to problems. He has published more than 350 papers and serves on multiple editorial boards. He is the Editor of Trends and Foundations in Robotics. Dr. Christensen was the editor of the US National Robotics Roadmap 2009, 2013 and 2016. He won the Joseph Engelberger Award 2011, which is the premier robotics industry award. He was also named Boeing Supplier of the Year and received an honorary doctorate (Dr. Techn. h.c.) from Aalborg University 2014. Dr. Christensen is the co-founder of multiple companies and serves as an advisor to companies, governments, and organizations across 4 continents.
Seth is a PhD student in the Computer Science and Engineering department. He graduated from the University of California, San Diego with a Bachelor's degree in Electrical Engineering with a focus on Machine Learning and a Master's in Electrical Engineering in the Intelligent Systems Robotics & Control concentration. He is currently working on perception systems for the Autonomous Scooter Project.
Jing-Yan is a PhD student in UCSD CSE. He received his master degree in UCSD ECE and his bachelor degree in National Taiwan University. Currently his main research focus is in tracking and trajectory prediction.
Zihan is a P.h.D student at the Computer Science & Engineering department working with professor Henrik I. Christensen. She graduated both Bachelor’s and Master's degrees in Computer Science at the University of California, San Diego. She is interested in the intersection of robotics and deep learning. She is currently working on the trajectory prediction and intent recognition projects at AVL.
Robin is a Ph.D. student in the Computer Science and Engineering department at UCSD. He received his bachelor's degree in Applied Mathematics and Computer Science at UC Irvine. His research focuses on building a scalable and safe planning system for autonomous vehicles that can operate in complex urban environments.
Chenghao is a master’s student in Intelligent Systems, Robotics, and Control at the ECE Department of UCSD. He received his bachelor’s degree from Chongqing University, China and University of Cincinnati, Ohio. He is currently working on Autonomous Scooter Project in the Autonomous Vehicle Laboratory (AVL).
Tong Shen is a master’s student in Intelligent Systems, Robotics, and Control at the ECE Department of UCSD. He received his bachelor’s degree in Electrical Engineering from the Chinese University of Hong Kong, Shenzhen. He is currently working on the perception and navigation of autonomous scooters in the Autonomous Vehicle Laboratory (AVL).
MS student in Computer Science
Akshar Tumu is a Master’s student in the Computer Science & Engineering department at UC San Diego. He received his Bachelor's degree in Computer Science with a Minor in Data Science from BITS Pilani, India. Akshar's research interest lies in applying NLP and Multimodal AI for robotic applications, particularly in Autonomous Driving. His current research focuses on HD Map generation using LLMs and refining object detection using vision-language models. He has previously worked on Deep Learning and Multimodal AI applications at Michigan State University and Australian National University. Akshar is passionate about advancing AI for autonomous systems.
Abhijit is a Master's student at the Department of Computer Science and Engineering in UC San Diego. He received his Bachelor's degree in Computer Engineering from the National University of Singapore, where he gained valuable experience working on robotics projects. He is currently working on a project involving high-definition mapping for autonomous navigation within the UC San Diego campus.
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