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Hyun Myung
500 Points

Contributions by role

Editor 500

Contributions by subject area

Artificial Intelligence
Computer Vision
Algorithms and Analysis of Algorithms
Autonomous Systems
Robotics
Data Mining and Machine Learning

Hyun Myung


Summary

Prof. Hyun Myung received a BSc, MSc, and PhD in electrical engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in 1992, 1994, and 1998, respectively. He was a Senior Researcher with the Electronics and Telecommunications Research Institute, Daejeon, from 1998 to 2002, a CTO and the Director with the Digital Contents Research Laboratory, Emersys Corporation, Daejeon, from 2002 to 2003, and a Principle Researcher with the Samsung Advanced Institute of Technology, Yongin, Korea, from 2003 to 2008. Since 2008, he has been a Professor with the Department of Civil and Environmental Engineering, KAIST, and is the Chief of the KAIST Robotics Program. Since 2019, he has been a Professor with the School of Electrical Engineering, and a Senior Member of IEEE and ICROS since 2015. He received the 2018 KAIST Joint Research Award, Prime Minister’s Citation Award 2018 National Science Day, and 2015 KAIST Top 10 Research Accomplishment Award. His current research interests include autonomous robot navigation, SLAM (simultaneous localization and mapping), SHM (structural health monitoring), machine learning, AI, and swarm robots.

Artificial Intelligence Autonomous Systems Computer Vision Robotics

Past or current institution affiliations

Korea Advanced Institute of Science & Technology

Work details

Professor

Korea Advanced Institute of Science & Technology
March 2008
School of Electrical Engineering

Websites

  • Google Scholar

PeerJ Contributions

  • Edited 2

Academic Editor on

December 7, 2021
PlaneNet: an efficient local feature extraction network
Bin Lin, Houcheng Su, Danyang Li, Ao Feng, Hongxiang Li, Jiao Li, Kailin Jiang, Hongbo Jiang, Xinyao Gong, Tao Liu
https://doi.org/10.7717/peerj-cs.783
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