Siva Hari is a Senior Research Scientist in the Computer Architecture Research Group at NVIDIA. 

Jan leads the Learning & Perception Research team at NVIDIA, working predominantly on computer vision and machine learning problems — from low-level vision (denoising, super-resolution, computational photography), geometric vision (structure from motion, SLAM, optical flow) to high-level vision (detection, recognition, classification), as well as fundamental machine learning algorithms. Before joining NVIDIA in 2013, Jan was a tenured faculty member at University College London.

Albert Sidelnik joined NVIDIA Research in July 2013. He completed his Ph.D in Computer Science from the University of Illinois at Urbana-Champaign. His area of research is developing new programming models and compiler optimizations for massively parallel architectures. He has previously interned at NVIDIA Research, IBM TJ Watson, and Cray Inc. In 2010, he was a member of the team that won the HPC Challenge Class II Award for most productive system. He is also a three-time recipient of the NVIDIA Graduate Fellowship.

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 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 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 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 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 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.