Students

Chanho Park 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 Kyungpook National University, Daegu, South Korea, in 2019. His research interests are dataflow and mapping optimization of deep neural network accelerators, including sparse computations.

Email: ch.park {\at} yonsei.ac.kr

 

 


Dain Lee is an M.S. student at the School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea. She received her B.S. degree in Electronic and Electrical Engineering from Ewha Womans University in 2025. Her research interests are memory systems for high-performance computing.

Email: dain {\at} yonsei.ac.kr

 

 


Euijun Kim 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 Nanoscience Engineering, Electrical and Electronic Engineering from Yonsei University in 2024. His research focuses on memory management for processing-near-memory (PNM) systems and compute-express-link (CXL) devices.

Email: cwchris {\at} yonsei.ac.kr

 

 


Gyuwon Cho is a prospective Ph.D. student, starting her graduate studies in Fall 2026. She received her B.S. degree in Electronics and Electrical Engineering from Dankook University, Youngin, South Korea, in 2026. Her research interests lie in system-for-ML and ML-for-system techniques.

Email: TBD

 

 


Haneul Park is an M.S. student at the School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea. She received her B.S. degree from the University of Seoul in 2021. She has past experience in back-end engineering and DevOps. Her research topics are resource disaggregation and OS/HW-level memory management schemes.

Email: rita {\at} yonsei.ac.kr

 

 


Hyun-Jae Lee 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 Electronics Engineering from Chungnam National University in 2025. His research focuses on power-aware code optimization for machine learning applications.

Email: hjlee844{\at} yonsei.ac.kr

 

 


Jaehoon Kim is pursuing a Ph.D. degree in the integrated B.S.-M.S/Ph.D. program at the School of Electrical and Electroning Engineering, Yonsei University, Seoul, South Korea. He is expected to complete his B.S. curriculum in Fall 2026. His research focuses on memory management for heterogeneous computing systems, including processing-near-memory (PNM) systems and compute-express-link (CXL) devices.

Email: jhoon114 {\at} yonsei.ac.kr

 

 


Joshua Dela Rosa 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 and Electronic Engineering from Yonsei University in 2024. His research interests include efficient system management for unified virtual memory (UVM) on GPUs. He is a recipient of the Global Leader Fellowship from Yonsei University, which covers full tuition, fees, and monthly stipends from 2024 to 2027.

Email: dsa.shua {\at} yonsei.ac.kr

 

 


Mengjie Li is a Ph.D. student at the School of Electrical and Electronic Engineering at Yonsei University. She received her B.S. degree from Qufu Normal University, China, in 2019 and her M.S. degree in Electronic Engineering from the University of Southampton, United Kingdom, in 2024. Her research interests include KV cache compression for large language models on PIMs.

Email: lemoji {\at} yonsei.ac.kr

 

 


Sehyeon Kim 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 and Information Engineering at Seoul National University of Science and Technology in 2024. His research interests include ML-based power, area, and latency modeling for neural accelerators.

Email: ikamusume {\at} yonsei.ac.kr

 

 


Siwon Kim 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 and Electronic Engineering from Yonsei University in 2026. His research focuses on memory management for virtual machines on cloud systems.

Email: maruksw {\at} yonsei.ac.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.ac.kr

 

 


Yeonwoo Choi is a prospective Ph.D. student, starting her graduate studies in Fall 2026. She received her B.S. degree in Electronic Engineering from Kyunghee University, Suwon, South Korea, in 2026. Her research interests lie in memory management for heterogeneous computing systems.

Email: TBD

 

 


Undergraduate research assistants: 

  • Ji Woon Choi (EE, Yonsei University)
  • Ju Hyoung Rhee (EE, Yonsei University)
  • Seong Hun Jeong (Biz, Yonsei University)

 

 

Faculty

William J. Song is an Associate Professor at 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 a B.S. degree in Electrical and Electronic Engineering from Yonsei University, Seoul, South Korea. His research interests include computer architecture and systems, memory systems, processing in/near memory, GPU microarchitecture, neural accelerators, and machine learning for systems (e.g., power and reliability management). Prior to joining the faculty of Yonsei University, he was a senior engineer at Intel in Santa Clara, CA. He was also 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 a Teaching Excellence Award from the College of Engineering, Yonsei University in 2024, 2022, 2020, and 2018. He received an IBM/SRC graduate fellowship from 2012 to 2015. He received the Best Student Paper Award at the IEEE International Reliability Physics Symposium (IRPS) in 2015 and the Best in Session Award at SRC TECHCON in 2014. He has served as a TPC/ERC/LPC member of top-tier computer architecture, system, and ML conferences, including ISCA (’26, ’25, ’23), MICRO (’26, ’25), HPCA (’27, ’26, ’25, ’24), DAC (’26, ’25, ’24), NeurIPS (’26), and AAAI (’27, ’26).

Email: wjhsong {\at} yonsei.ac.kr

 

 

Alumni
  • Xingbo Wu (M.S., Spring 2026) has defended his thesis titled “An Adaptive Pruning Method with Self-Compensation Driven by Reinforcement Learning for Language Models.”
  • Kyunam Park (M.S., Fall 2025) has defended his thesis titled “Fast and Accurate Power Estimation at Compile Time for Machine Learning Applications.”
  • Youngin Kim (Ph.D., Spring 2025) is a staff research scientist at SK Hynix. His Ph.D. dissertation is “Non-blocking Heterogeneous Memory Management via Software-Hardware Cooperation.”
  • Hyeonjin Kim (Ph.D., Fall 2024) joined Samsung Research as a staff engineer. His Ph.D. dissertation is “DNN Acceleration with GPU Tensor Cores in a Workload-Aware Manner.”
  • Bogil Kim (Ph.D., Fall 2024) is a staff engineer at SK Hynix. His Ph.D. dissertation is “Modeling Infrastructure for Deep Neural Network Accelerators.”
  • Minkwan Kim (M.S., Fall 2024) has defended his thesis titled “Neural Network-Based Modeling of SRAM Timing, Power, and Area.” He joined Doosan Enerbility.
  • HoSun Choi (B.S., Fall 2023) joined NVIDIA after completing his Master’s degree at the School of Electrical and Computer Engineering, Purdue University.
  • Jingu Park (M.S., Fall 2023) has defended his thesis titled “Dynamic Wear Leveling Techniques for Enhancing Lifetime of PE Arrays in DNN Accelerator.” He is a staff hardware engineer at LG Electronics CTO (LG Research).
  • Jeongmin Hwang (M.S., 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 (M.S., Fall 2022) has defended his thesis titled “Fornax: Lightweight, Energy-Efficient DNN Accelerator with Flexible Dataflows.” He is a senior hardware engineer at Meta (Facebook).
  • Suan Jung (M.S., 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 (M.S., 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 (B.S., Fall 2020) joined NVIDIA after completing her Ph.D. degree at the Department of Computer Science, Princeton University.
  • Sungjae Lee (M.S., 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.”