Shalini De Mello

Shalini De Mello is a Director of Research, New Experiences and a Distinguished Research Scientist at NVIDIA, where she leads the AI-Mediated Reality and Interaction Research Group. Previously, she was a researcher in the Learning and Perception Research Group at NVIDIA, from 2013 to 2023. Her research interests are in AI, computer vision and digital humans. Her research focuses on using AI to re-imagine interactions between humans, and between humans and machines.

Sudhir Kudva

Sudhir S. Kudva received the Bachelor of Engineering degree (B.E.) in Electronics and  Communcation Engineering from National Institute of Technology Karnataka, Suratkal, in 2004  Master of Engineering degree (M.E.) in Microelectronics from Indian Institute of Science, Bangalore, in 2006 and PhD from University of Minnesota, Twin Cities, in 2013. From 2006 -2008 he worked as Design Engineer at the AMD India Engineering Centre, Bangalore designing ROMs in 65nm and 45nm SOI technology. In summer of 2011 and fall of 2012, he interned at Intel corporation.

Aaron Lefohn

Aaron Lefohn leads the Real-Time Rendering Research team at NVIDIA. Aaron has led real-time rendering and graphics programming model research teams for over a decade and has productized many research ideas into games, film rendering, GPU hardware, and GPU APIs.

Mike O'Connor

Mike O'Connor currently a Senior Manager and Research Scientist at NVIDIA in the Architecture Research group in the Austin, TX office.

He leads a team of researchers focusing on enabling technologies for high-bandwidth, energy efficient future DRAM/NVRAM systems.

He has broad interests in many areas of computer architecture, including:

  • High-Performance Memory Systems (DRAM and NVRAM)
  • GPU Architectures (both processing cores and cache/memory systems) 
  • Low-power datapath design
  • Reliabilty/Resilience

Ted Jiang

Ted Jiang joined NVIDIA research at the end of 2012 after completing his PhD in electrical engineering at Stanford University. His research interests span a wide range of interconnection networks topics from routing algorithms, congestion control mechanisms, allocator designs, router designs, topology analysis, and network simulation. His network expertise spans from network-on-chip for SoC or CMP systems to large scale system area networks for high-performance computing and Datacenters. 

Sylvia Chanak

Sylvia began her career as an ASIC engineer, and then moved into Program Management where she has enjoyed running a variety of programs and projects and helping with business operations for engineering and research groups. She is currently involved with the project management of the NVIDIA Research government programs and a variety of other activities for the Research department. She has a BSEE from UCLA and an MS Engineering Management from Santa Clara University. She is also PMP certified.

Chris Wyman

Chris Wyman joined NVIDIA Research in 2012, and works from the Redmond, WA office in the real-time rendering research group.  Before joining NVIDIA, he was an associate professor of computer science at the University of Iowa. He has a Ph.D.

John Wilson

John Wilson received his B.S., M.S., and Ph.D. degrees in electrical engineering from North Carolina State University (NCSU), Raleigh. He is a principal research scientist with the Circuits Research Group, NVIDIA Inc., Durham, North Carolina. From 2003 to 2006, he was a research professor at NCSU leading projects in advanced packaging, ac-coupled communication in 2.5D/3D ICs, and on-chip global signaling. From 2006 to 2012, he worked with Rambus Inc.

Xi Chen

Xi Chen joined NVIDIA's Circuits Research Group in January 2012. He received the B.S. and M.S. degrees from Zhejiang University in 2003 and 2006, respectively, and the PhD degree in electrical engineering from North Carolina State University in 2011. His recent projects and researches include circuits for high-speed low-power off-chip and on-chip signaling, noise and interference tolerant circuit designs, and new clock generation technique for high-speed links.

Orazio Gallo

Orazio's interests are in computational photography, computer vision, applied perception.