Organizers

Xinshuo Weng is a 3rd-year Ph.D. student at Carnegie Mellon University working on 3D computer vision and graph neural networks. She previously worked at Facebook Reality Lab as a research engineer and completed her master’s degree at CMU. Her recent research is about applying Graph Neural Networks for object interaction modeling in perception (3D object detection and multi-object tracking). She has been awarded a Qualcomm Innovation Fellowship (2020 - 2021).

Jiachen Li is a final-year Ph.D. candidate at University of California, Berkeley. His current research interests lie at the intersection of machine learning, computer vision, graph neural network, reinforcement learning, control and optimization and their applications to scene understanding, relational reasoning/interaction modeling, motion prediction, sequential decision making for intelligent autonomous systems (e.g. autonomous vehicles, mobile robots). He has spent time as a research intern at Toyota Research Institute and Honda Research Institute US.

Chen Tang is a 5th-year Ph.D. candidate at University of California, Berkeley working on control and learning for applications in autonomous driving. Prior to this, he received his B.E degree in mechanical engineering in Hong Kong University of Science and Technology. He was previously a research intern at Honda Research Institute. His recent research is about improving the explainability and robustness of graph neural networks for multi-agent behavior modeling and trajectory prediction.

Ye Yuan is a 4th-year Ph.D. student at CMU working on trajectory forecasting and imitation learning for Autonomous Driving. Prior to this, he received his M.S. in computer science from CMU and B.E. in computer science from Zhejiang University. He has interned at Facebook Reality Lab Pittsburgh and Disney Research Pittsburgh. He is the recipient of a Qualcomm Innovation Fellowship (2020-2021) and an NVIDIA Graduate Fellowship (2021-2022).

Abhimanyu Dubey is a 4th-year Ph.D. student in the Human Dynamics group at MIT, advised by Professor Alex Pentland. His research interests are in robust and cooperative (federated) machine learning, including problems in multi-agent decision-making and transfer learning. Prior to this, he received a master's degree in Computer Science and bachelor's degree in Electrical Engineering at IIT Delhi, where he was advised by Professor Sumeet Agarwal. He also spent time as a research intern at Facebook AI, and was a post-baccalaureate fellow at the Department of Economics at Harvard, under Professor Ed Glaeser.

Heni Ben Amor is an Assistant Professor at Arizona State University where he leads the ASU Interactive Robotics Laboratory. In 2018, he received the NSF CAREER Award - the National Science Foundation's most prestigious award in support of early-career faculty. He also received the Outstanding Assistant Professor Award and Fulton Teachg Award in 2018. Prior to that, he was a Research Scientist at the Institute for Robotics and Intelligent Machines at GeorgiaTech in Atlanta. Heni studied Computer Science at the University of Koblenz-Landau (GER) and earned a Ph.D in robotics from the Technical University Freiberg and the University of Osaka in 2010 where he worked with Hiroshi Ishiguro and Minoru Asada.

Changliu Liu is an Assistant professor in the Robotics Institute at CMU, where she leads Intelligent Control Lab. Prior to joining CMU, she was a postdoc at Stanford Intelligent Systems Laboratory. She obtained her Ph.D from Berkeley in 2017, where she worked in Mechanical Systems & Control Lab. Her primary research focus is on the design and verification of intelligent systems that work with people, with application to manufacturing and transportation.