Jonghwan Lee (invited)

Jonghwan Lee is a Senior Solutions Architect for Physical AI at NVIDIA, with over eight years of experience at NVIDIA as a CUDA and AI development specialist. His work spans the full stack of accelerated computing and AI system architecture, from low-level GPU programming and performance optimization to large-scale AI deployment. As the industry enters the era of Physical AI, his current research and development efforts focus on Physical AI data flywheels, digital twin platforms, large-scale simulation, and robotics, enabling closed-loop learning between real-world physical systems and AI models. He works closely with customers to design end-to-end architectures that integrate simulation, perception, planning, and control for autonomous industrial systems. 

Prior to joining NVIDIA, Lee spent eight years at the CTO SIC Center of LG Electronics, where he conducted in-depth research and development on mobile GPU architectures, neuromorphic processors, and DNN accelerator architectures. His work included architectural exploration, performance–power trade-off analysis, and hardware–software co-design for next-generation AI accelerators, contributing to energy-efficient and scalable computing platforms for embedded and mobile AI workloads. 

Lee’s professional focus lies in building end-to-end Physical AI systems, leveraging deep expertise across computer vision, GPU and accelerated computing, AI accelerator architecture, autonomous systems, digital twins, simulation, and robotics. He continues to drive innovation at the intersection of data, simulation, and accelerated computing, enabling the realization of autonomous and intelligent factories.