Hyunbin Park received the B.S. degree in Electrical and Electronic engineering from Yonsei University, Seoul, Republic of Korea, in 2013. He received the Ph.D. degree with M.S.-Ph.D. joint course in School of Integrated Technology from Yonsei University, in 2019. His main research, while he was graduate student, includes system designing system architecture of Neural Processing Unit (NPU) with integer weights and activations, and deep learning training technique for integer gradients. Also, he researched Single Inductor Multiple Output DC-DC converter. From Mar. 2019 to Jun. 2019, he worked as a Postdoctoral Researcher in Yonsei Institute of Convergence Technology (YICT) in Yonsei University. He is currently working for analyzing and benchmarking NPUs for mobile devices in Mobile Communications Business, Samsung Electronics Co., Ltd.
Research Keywords & Expertise
Deep Learning
Hardware Acceleration ...
Homomorphic encryption
NPU
SIMO DC-DC CONVERTER
Fingerprints
20%
NPU
10%
Deep Learning
10%
Hardware Acceleration on AI
10%
SIMO DC-DC CONVERTER
Short Biography
Hyunbin Park received the B.S. degree in Electrical and Electronic engineering from Yonsei University, Seoul, Republic of Korea, in 2013. He received the Ph.D. degree with M.S.-Ph.D. joint course in School of Integrated Technology from Yonsei University, in 2019. His main research, while he was graduate student, includes system designing system architecture of Neural Processing Unit (NPU) with integer weights and activations, and deep learning training technique for integer gradients. Also, he researched Single Inductor Multiple Output DC-DC converter. From Mar. 2019 to Jun. 2019, he worked as a Postdoctoral Researcher in Yonsei Institute of Convergence Technology (YICT) in Yonsei University. He is currently working for analyzing and benchmarking NPUs for mobile devices in Mobile Communications Business, Samsung Electronics Co., Ltd.
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