Xueting Li is a research scientist at Nvidia Research in Santa Clara, US. She received her Ph.D. from University of California Merced, advised by Ming-Hsuan Yang. Her research focuses on computer vision, specifically 3D vision, affordance learning, and self-supervised methods. Xueting received the NVIDIA Graduate Fellowship in 2020 and the Google PhD fellowship in 2021. She received her M.S. from Tsinghua University and B.S.from Beijing University of Posts and Telecommunications.

Li Xu joined the Circuits Research Group at NVIDIA, Santa Clara, CA in 2022. His research interests include energy- and area-efficient circuits for sensing, cognition, communication, power management, and actuation. He received the PhD degree in electrical and computer engineering from the University of Michigan, Ann Arbor in 2021.

LinkedIn Profile: https://www.linkedin.com/in/li-xu-a7560069/

I am a Research Scientist with the Autonomous Vehicle Research Group at NVIDIA Research. Broadly, my research interests lie in ensuring the safety of complex autonomous robotic systems. I am currently interested in improving the safety of autonomous vehicles by equipping them with the ability to detect and safely address edge cases that lie beyond the operational design domain.

Please visit my personal website! https://jimfan.me

Working on Privacy Preserving Deep Learning using:

Amrita Mazumdar joined NVIDIA Research in 2021. Her research interests are at the intersection of computer systems and computer graphics.

She received her PhD (2020) and MS (2017) from the University of Washington, and her BS (2014) from Columbia University. Previously, she founded Vignette AI, where she worked on perception-aware video compression and storage.

I am a research scientist working with NVIDIA's Autonomous Vehicle Research Group. My research interests include safe and interaction-aware planning and control for autonomous vehicles, and developing structured and interpretable deep learning models grounded by logic.