Minsang Yu joined the lab in February, 2022, as a master’s program student. He majored in electronic engineering. Before joining the lab, he worked as an assistant researcher at Korea Electronics Technology Institute (KETI) and developed the IoT Edge Device for sensor data synchronization for digital twin. His research interests include AI hardware accelerator design and electronic design automation with machine learning.
Minuk Hong joined the lab in February, 2022, as a master’s program student. He majored in electronic engineering. His research interests include hardware accelerator design with HDL and HLS for AI application.
Minjoon Song joined the lab in February, 2021, as a master’s program student. He majored in Automotive-IT Convergence Engineering from Kookmin University. His research interest lies in the intersection between the architecture and compiler for NPUs (Neuromorphic Processing Units). Mr. Song has graduated with a Master’s degree, and joined BOS Semiconductors, a global fabless company with a focus on automotive.
Azat Azamat started his M.S. program and joined the lab in September, 2020. He majored in computer science with minor in mathematics from Nazarbayev University, Kazakhstan, in 2020. His research interests include deep learning and cost-efficient accelerator design.
Jounghyun Kim started his M.S. Program in AI Graduate School in September, 2020. He received the bachelor’s degree in electronic engineering from KyungHee University, South Korea, in 2019. His research interests include efficient deep learning architecture. Mr. Kim has graduated with a Master’s degree, and is now with LaonRoad (라온로드), an AI company based in Bundang, Korea.
Chenghao Quan joined the lab in September, 2020, as a Master-PhD combined student. His research interests include deep learning and hardware-aware deep learning.
Faaiz Asim joined the lab in September, 2020, as a Master-PhD combined student. His research ineterests include efficient deep learning architectures and acceleration of deep neural networks for low-power systems.
Sugil Lee
Sugil Lee joined the lab in March, 2017 as a master’s program student. He majored in mathematics at KAIST (Korea Advanced Institute of Science and Technology) with some background in computer science. He received his masters degree in computer science and engineering from UNIST in 2019, and is continuing as a Ph.D. student in the same lab. His research interests include machine learning and hardware-aware deep learning.
Sangyun Oh
Sangyun Oh started his M.S. program in March, 2015. His research interests include (i) reconfigurable architecture and (ii) acceleration of deep neural networks for low-power systems.
He received a best paper award at KCS conference, 2017.