I'm currently a Research Scientist at NVIDIA Research, where I actively conduct research on computational lithography and machine learning. Prior that, I was a postdoctoral fellow in the Department of Computer Science and Engineering, the Chinese University of Hong Kong. My research interests include (1) Machine Learning in VLSI Design for Manufacturability (2) High Performance VLSI Physical Design with Parallel Computing and (3) Machine Learning Security.

Check my personal webpage for more details.

Charbel Received his PhD (2021) from the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign. His research interests are in resource-constrained machine learning, with a particular focus on analysis and implementation of reduced precision models and algorithms and their co-design with machine learning accelerator hardware.

Sebastian Cammerer is a Senior Research Scientist at NVIDIA working on the intersection of wireless communications and machine learning. Before joining NVIDIA, he received his PhD in electrical engineering and information technology from the University of Stuttgart, Germany, in 2021. He is one of the maintainers and core developers of the Sionna open-source link-level simulator. His main research topics are machine learning for wireless communications and channel coding. Further research interests include accelerated computing for wireless signal processing and information theory.

Ben Lee joined NVIDIA Research in 2021 as a member of the Circuits Research Group with focus in photonics.  He received the B.S. degree from Oklahoma State University (Stillwater, OK) in 2004, and Ph.D. degree from Columbia University (New York, NY) in 2009, both in electrical engineering. Prior to joining NVIDIA, Ben was a Research Staff Member at IBM’s T. J. Watson Research Center in Yorktown Heights, NY.  His technical interests include short-reach, high-speed, and low-energy optical interconnects and integrated photonic systems.

Angad S. Rekhi joined NVIDIA Research in 2021 as a member of the Circuits Research Group. His current research interests include package-level photonics, next-generation signaling systems, and machine learning acceleration.