Sangyeob Kim received his B.S., M.S., and Ph.D. degrees from the School of Electrical Engineering at the Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, South Korea, in 2018, 2020, and 2023, respectively. He was a Post-Doctoral Research Associate with the Information and Electronics Research Institute, KAIST. Now, He is currently an Assistant Professor with the School of Integrated Technology, Yonsei University, South Korea.
His current research interests include energy-efficient AI semiconductor chip design, especially focused on accelerators for deep neural network, neuromorphic computing, and large language model. He is currently a member of the Technical Program Committee for the Design Automation Conference (DAC) and serves on the Review Committee for the International Symposium on Circuits and Systems (ISCAS).
Email: sangyeob.kim@yonsei.ac.kr
Educations and Professional Experiences
B.S. in Electrical Engineering, KAIST (Mar 2014 - Feb 2018)
M.S. in Electrical Engineering, KAIST (Mar 2018 - Feb 2020)
Advisor: Hoi-Jun Yoo
Thesis: An Energy-Efficient CNN Accelerator with Similar Feature Skipping for Face Recognition in Mobile Devices
Ph.D. in Electrical Engineering, KAIST (Mar 2020 - Aug 2023)
Advisor: Hoi-Jun Yoo
Thesis: High Energy Efficient DNN Inference and Training Processor with Sparsity Optimization and Neuromorphic Computing
Post-doctoral Researcher, KAIST (Sep 2023 - Feb 2025)
Supervisor: Hoi-Jun Yoo
Assistant Professor, Yonsei University (Mar 2025 - Present)