Seung‐Jin Lee

Korea Advanced Institute of Science and Technology

Papers

Total Citations

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About

Seung-Jin Lee is a leading figure in the field of energy-efficient, high-performance VLSI system design, with a primary focus on accelerating computer vision and object recognition for mobile and robotic platforms. His most cited work, the "81.6 GOPS Object Recognition Processor Based on a Memory-Centric NoC" (2009, 19 citations), exemplifies his core contribution: architecting specialized processors that achieve remarkable throughput—81.6 billion operations per second—by leveraging a memory-centric Network-on-Chip (NoC) to efficiently manage both task-level and data-level parallelism. This foundational design philosophy directly addresses the critical challenge of balancing computational power with energy constraints in autonomous systems. Lee’s research is distinguished by its holistic approach, moving beyond raw performance to optimize the entire memory and communication hierarchy, thereby enabling real-time, intelligent processing on power-limited devices. His work has been instrumental in demonstrating that custom, domain-specific architectures can bridge the gap between the demands of advanced robotics and the limitations of embedded hardware, making him a key innovator in the evolution of mobile intelligence.