Students
Bogil Kim received his B.S. degree in Electrical and Electronic Engineering from Yonsei University, Seoul, South Korea, in 2018. He is currently pursuing a Ph.D. degree at the School of Electrical and Electronic Engineering at Yonsei University. His research interests include neural network optimization, workload characterization, and hardware accelerators. He received a Ph.D. scholarship from the National Research Foundation (NRF) of Korea from 2021 to 2023.
Email: bogilkim {\at} yonsei {\dot} ac {\dot} kr
Chanho Park is a Ph.D. student at the School of Electronic and Electronic Engineering, Yonsei University, Seoul, South Korea. He received his B.S. degree in Electrical Engineering from Kyungpook National University, Daegu, South Korea, in 2019. His research interests include the optimization and design space exploration of deep neural network accelerators.
Email: ch.park {\at} yonsei {\dot} ac {\dot} kr
Euijun Kim is a Ph.D. student at the School of Electronic and Electronic Engineering, Yonsei University, Seoul, South Korea. He received his B.S. degree in Nanoscience Engineering, Electrical and Electronic Engineering at Yonsei University in 2024. His research interests include power modeling and management using machine learning techniques.
Email: cwchris {\at} yonsei {\dot} ac {\dot} kr
Haneul Park is an M.S. student at the School of Electronic and Electronic Engineering, Yonsei University, Seoul, South Korea. She received her B.S. degree from the University of Seoul. Her research topics are OS-level memory management schemes for heterogeneous computing systems.
Email: rita {\at} yonsei {\dot} ac {\dot} kr
Hyeonjin Kim is a graduate student pursuing a Ph.D. at the School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea. He received a scholarship upon graduate admission for his academic excellence. He received his B.S. degree in Electrical and Electronic Engineering from Yonsei University in 2018. His research interests include GPU microarchitecture for deep learning and graph networks.
Email: hyeonjin_kim {\at} yonsei {\dot} ac {\dot} kr
Kyunam Park is an M.S. student at the School of Electronic and Electronic Engineering, Yonsei University, Seoul, South Korea. He received his B.S. degree in Electrical and Electronic Engineering from Yonsei University in 2024. His research interests include machine-learning-based power modeling and optimization for supercomputing.
Email: oreobites {\at} yonsei {\dot} ac {\dot} kr
Minkwan Kim is an M.S. student at the School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea. He received his B.S. degree in Electrical Engineering from Kyungpook National University, Daegu, South Korea. His research topics are SRAM designs for future technology nodes (e.g., 3nm, 2nm, or below) and power modeling using machine-learning techniques.
Email: mk9617 {\at} yonsei {\dot} ac {\dot} kr
Taesoo Lim is a Ph.D. student at the School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea. He received his B.S. degree in Electrical Engineering from Yonsei University in 2018. His research interests are reliability management and design solutions for deep learning accelerators.
Email: taesu.lim {\at} yonsei {\dot} ac {\dot} kr
Youngin Kim is currently pursuing a Ph.D. degree at the School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea. He receives a full scholarship from the school during the Ph.D. coursework for his academic excellence. His research topic focuses on the management of high-performance memory systems and architectures. He received the Highest Honor Student Awards in 2019 and 2021 and the High Honor Student Awards in 2019 and 2020. He also received the Young-Ah Yoo Academic Scholarship from the Seoul Scholarship Foundation in 2019.
Email: yiwkd2 {\at} yonsei {\dot} ac {\dot} kr
Xingbo Wu is a Ph.D. student at the School of Electronic and Electronic Engineering, Yonsei University, Seoul, South Korea. He received his B.S. degree in Electronic Information Science and Technology from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2023. His research interests are machine learning acceleration and GPU microarchitecture.
Email: xingbowu {\at} yonsei {\dot} ac {\dot} kr
Undergraduate research assistants:
- Hosun Choi (EE, Yonsei University)
- Joshua Dela Rosa (EE, Yonsei University)
Faculty
William J. Song is currently an Associate Professor with the School of Electrical and Electronic Engineering, Yonsei University in Seoul, South Korea. He earned his Ph.D. degree in Electrical and Computer Engineering from Georgia Institute of Technology, Atlanta, GA, and B.S. degree in Electrical and Electronic Engineering from Yonsei University, Seoul, South Korea. His research interests include heterogeneous computing and microarchitecture, near-memory processing, deep learning accelerators, quantum computing, and power, thermal, and reliability management techniques. Prior to joining the faculty of Yonsei University, he was a senior engineer at Intel in Santa Clara, CA. He was a graduate research intern at Qualcomm, San Diego, CA, in 2015; IBM T.J. Watson Research Center, Yorktown Heights, NY, in 2014; AMD Research, Bellevue, WA, in 2013; and Sandia National Labs, Albuquerque, NM from 2010 to 2012. He received a Distinguished Faculty Award from Yonsei University in 2018 and Teaching Excellence Awards from the College of Engineering, Yonsei University in 2018, 2020, 2022, and 2024. He received IBM/SRC graduate fellowship from 2012 to 2015. He received a Best Student Paper Award at IEEE International Reliability Physics Symposium (IRPS) in 2015 and a Best in Session Award at SRC TECHCON in 2014. He served as a TPC/ERC member of DAC’24, HPCA’24, and ISCA’23.
Email: wjhsong {\at} yonsei {\dot} ac {\dot} kr
Alumni
- Jingu Park (MS, Fall 2023) has defended his thesis titled “Dynamic Wear Leveling Techniques for Enhancing Lifetime of PE Arrays in DNN Accelerator.” He is a hardware engineer at LG Electronics.
- Jeongmin Hwang (MS, Fall 2022) has defended his thesis titled “Impact of Neural Network Acceleration Scheduling on Lifetime Reliability.” He is a Major of the Republic of Korea Air Force.
- Semin Koong (MS, Fall 2022) has defended his thesis titled “Fornax: Lightweight, Energy-Efficient DNN Accelerator with Flexible Dataflows.” He is a hardware engineer at Meta (Facebook).
- Suan Jung (MS, Fall 2022) has defended her thesis titled “Framework for Lifetime Reliability Evaluation of Heterogeneous System.” She is a software engineer at Samsung Electronics – Memory Division.
- Sungmin Ryu (MS, Fall 2021) has defended his thesis titled “Optimization of Reconfigurable Deep Neural Network Accelerators Using Bottom-Up Mapping and Energy Prediction.” He is currently a quant developer at Kyobo Securities.
- Yebin Chon (BS, Fall 2020) is a graduate student at the Department of Computer Science, Princeton University.
- Sungjae Lee (MS, Fall 2020) joined NAVER as a software research engineer. His Master’s thesis is “Exploiting Large and Small Page Sizes in Two-Tiered Memory System.”