Ahmed Nabih received the B.Sc. and M.Sc. degrees from Cairo University, Cairo, Egypt, in 2014 and 2017, respectively, and the Ph.D. degree from Virginia Tech, Blacksburg, VA, USA, in 2023, all in electrical engineering. Ahmed had a summer internship with Nvidia during summer 2022 where he worked on GPU power delivery. He also worked at Texas Instruments
as a Systems Engineer for a year after graduation.

Yi-Chen Lu is currently a Senior Research Scientist at NVIDIA. He received his B.S. degree in Electrical Engineering from National Taiwan University (NTU), followed by his M.S. and Ph.D. degrees in Electrical and Computer Engineering from Georgia Institute of Technology. His research focuses on developing machine learning algorithms to improve Electronic Design Automation (EDA) flows for 2D and 3D Integrated Circuits (ICs), with a prime focus on Physical Design (PD).

I am a research scientist in the autonomous vehicle research group at Nvidia. I'm interested in driving scenario generation, reinforcement learning, and causal discovery. I got my Bachelor's degree from Tsinghua University in 2018 and my Ph.D. from Carnegie Mellon University in 2024. 

Check my website for more information: https://wenhao.pub

Christos' research focuses on computer architecture and systems software. He is currently working on cloud computing technology, systems design for artificial intelligence, and artificial intelligence for systems design. Christos holds a BS degree from the University of Crete (Greece) and a PhD degree from the University of California at Berkeley (USA). He is a fellow of the ACM and the IEEE.

G. Edward Suh is a Senior Director of Research, and leads a group in security and privacy research.

He is also an Adjunct Professor in the School of Electrical and Computer Engineering at Cornell University, where he served on the faculty from 2007 to 2023. Before joining NVIDIA, he was a Research Scientist in the Fundamental AI Research (FAIR) team at Meta. He earned a B.S. in Electrical Engineering from Seoul National University and an M.S. and a Ph.D. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT). 

Jiaojiao receives her PhD in Machine Learning from the Georgia Institute of Technology. Her early research focused on scaling neural network-based optimal transport and MCMC sampling, with recent work emphasizing controllable generation in generative image and video models. Her contributions have been recognized through publications at leading conferences like ICML, AISTATS, and COLT.