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HyunJin Kim
PeerJ Author & Reviewer
420 Points

Contributions by role

Author 405
Reviewer 15

Contributions by subject area

Artificial Intelligence
Computer Vision
Data Mining and Machine Learning
Algorithms and Analysis of Algorithms
Human-Computer Interaction
Computer Aided Design
Theory and Formal Methods
Programming Languages
Software Engineering

HyunJin Kim

PeerJ Author & Reviewer

Summary

HyunJin Kim is an associate professor in the School of Electronics and Electrical Engineering at the Dankook University, Republic of Korea. He received a PhD in Electronics and Electrical Engineering (2010), a master degree (1999) and a bachelor degree (1997) in Electrical Engineering, all from Yonsei University, the Republic of Korea. He enjoyed his studies as a visiting researcher at the University of California, Irvine. (2018.8~2019.7). He worked as the mixed-signal VLSI circuit designer at Samsung Electromechanics for three years. (2002.02 ~ 2005.01). In addition, He is a senior engineer in the field of flash memory controller project at the Memory Division of Samsung Electronics (2010.04 ~2011.08). He worked as a visual basic database programmer in his military service (1998.08~2001.10).

His current research interests reside in the realm of hardware-friendly AI structure and implementation, deep neural network implementation, embedded & parallel system and system-on-chip (SoC) design, in particular, approximate & stochastic computing for neural network implementation methodology, fast string matching system, and energy-aware embedded system. Additionally, he extends his research area based on his research history in analogue and digital VLSI design circuit design.

He has published over about 80 technical articles including 38 international journals and 6 international patents. He currently serves as a vice-president in the Institute of Semiconductor Test of Korea.

Algorithms & Analysis of Algorithms Artificial Intelligence Distributed & Parallel Computing

Past or current institution affiliations

Dankook University

PeerJ Contributions

  • Articles 3
March 29, 2022
A storage-efficient ensemble classification using filter sharing on binarized convolutional neural networks
HyunJin Kim, Mohammed Alnemari, Nader Bagherzadeh
https://doi.org/10.7717/peerj-cs.924
January 3, 2022
PresB-Net: parametric binarized neural network with learnable activations and shuffled grouped convolution
Jungwoo Shin, HyunJin Kim
https://doi.org/10.7717/peerj-cs.842
March 26, 2021
AresB-Net: accurate residual binarized neural networks using shortcut concatenation and shuffled grouped convolution
HyunJin Kim
https://doi.org/10.7717/peerj-cs.454