Youngjoo Lee

Youngjoo Lee is a faculty member in the School of Electrical Engineering at KAIST, affiliated with the Department of AI Systems. Their research focuses on embedded processors and intelligent computing, with an emphasis on hardware-software building blocks for application-specific systems. The EPIC Lab, led by Prof. Lee, explores cross-disciplinary topics such as algorithms, computer architectures, and system-on-chip designs, particularly in energy-efficient processors for compressed machine learning models and high-performance baseband processors for next-generation communication systems. Recent work includes publications in IEEE journals and conferences, as well as recognition with the Outstanding Lecture Award from KAIST EE.

Youngjoo Lee is an Associate Professor at Korea Advanced Institute of Science and Technology (KAIST) specializing in computer architecture, system-on-chip design, intelligent computing, and VLSI signal processing. His research focuses on developing energy-efficient and high-throughput architectures for machine learning, signal processing, and storage systems. Key contributions include the design of accelerators for graph convolutional neural networks, efficient matrix multiplication techniques for large-scale language models, and low-complexity architectures for BCH decoding and approximate computing. His work addresses challenges in memory efficiency, power consumption, and performance optimization for embedded and edge computing applications.