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Jeonghwan Gwak
PeerJ Editor & Reviewer
200 Points

Contributions by role

Editor 200

Contributions by subject area

Artificial Intelligence
Computer Vision
Neural Networks

Jeonghwan Gwak

PeerJ Editor & Reviewer

Summary

Dr. Jeonghwan Gwak received his Ph.D. degree in Machine Learning and Artificial Intelligence from Gwangju Institute of Science and Technology, Gwangju, Korea in 2014. From 2002 to 2007, he worked for several companies and research institutes as a Researcher and a chief technician. From 2014 to 2016, he worked as a Postdoctoral Researcher in GIST, and from 2016 to 2017 as a Research Professor. From 2017 to 2019, he was a Research Professor in Biomedical Research Institute & Department of Radiology at Seoul National University Hospital, Seoul, Korea. From 2019, he joined Korea National University of Transportation (KNUT) as an Assistant Professor and since 2021, he is an Associate Professor. He is the Director of the Algorithmic Machine Intelligence laboratory. His current research interests include deep learning, computer vision, image and video processing, AIoT, fuzzy sets and systems, evolutionary algorithms, optimization, and relevant applications of medical and visual surveillance systems.

Artificial Intelligence Autonomous Systems Computer Vision Data Mining & Machine Learning Radiology & Medical Imaging

Editorial Board Member

PeerJ Computer Science

Work details

Professor

Korea National University of Transportation
April 2019
Department of Software
Department of Software, Department of AI Robotics Engineering, Department of Biomedical Engineering, Department of IT & Energy Convergence (BK21 FOUR), Korea National University of Transportation, South Korea.

Websites

  • Google Scholar

PeerJ Contributions