Donghyeon Han
AI & SoC DESIGNER
About
Donghyeon Han received B.S., M.S., and Ph.D. degrees from the school of electrical engineering of Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, in 2017, 2019, and 2023, respectively. He is a postdoctoral researcher in Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT).
His current research interests include low-power system-on-chip design, especially focused on on-device deep neural network training accelerators and hardware-friendly deep learning algorithms.
Contact
E-mail: hdh4797@gmail.com
Education
(Feb, 2013) Daejeon Science High School, South Korea
- 2-year accelerated graduation, 2011-2013
(Feb, 2017) B.S. in Electrical Engineering, KAIST, South Korea (National Full-scholarship)
(Feb, 2019) M.S. in Electrical Engineering, KAIST, South Korea (National Full-scholarship)
- Advisor: Hoi-Jun Yoo, KAIST, IEEE Fellow, since 2008
- Thesis title: A Low-power Deep Neural Network Online Learning Processor for Real-time Object Tracking Application
(Feb, 2023) Ph.D. in Electrical Engineering, KAIST, South Korea
- Advisor: Hoi-Jun Yoo, KAIST, IEEE Fellow, since 2008
- Thesis title: A High Energy-efficiency Adaptive Fixed-point DNN Training Processor
(Now) Postdoctoral Researcher in Electrical Engineering and Computer Science, MIT, USA