Professor
Sanghyun Choo
Assistant Professor
Department of Industrial Engineering, Kumoh National Institute of Technology
Office: Global 577
Tel.: +82-54-478-7658
Email: schoo@kumoh.ac.kr
Google Scholar | Linkedin | CV
Education
Aug. 2018 - Aug. 2022, Ph.D., Industrial Engineering (Minor: Statistics), North Carolina State University, Raleigh, NC, USA
Mar. 2016 - Feb. 2018, M.S., Industrial Engineering, Kumoh National Institute of Technology, Gumi, Korea
Mar. 2010 - Feb. 2016, B.S., Industrial Engineering, Kumoh National Institute of Technology, Gumi, Korea
Professional ExperienceÂ
Mar. 2024 - present, Assistant Professor, Department of Industrial Engineering, Kumoh National Institute of Technology, Gumi, Korea
Aug. 2022 - Jan. 2024, Postdoctoral Research Associate, Computational Sciences & Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
Professional Activities
Journal Reviewers
Knowledge-Based Systems (2023)
Engineering Applications of Artificial Intelligence (2023)
Journal of Engineering Research (2023)
Annals of Operations Research (2022)
IEEE Transactions on Cybernetics (2021, 2022)
IEEE Transactions on Affective Computing (2021)
Data Technologies & Applications (2019, 2020)
Honors and Awards
2019, Human Factors and Ergonomic Society (HFES) Annual Meeting Travel Award
2017, Outstanding Scholarship, Kumoh National Institute of Technology
2016, Academic Honors, Korea Institute of Intelligent Systems (KIIS)
2016, Summa Cum Laude, Kumoh National Institute of Technology
2016, Fellowship Brain Korea 21 Plus (BK+21), Ministry of Education
Talks
2024.05.10 Deep Learning: From Centralized to Federated Learning and Beyond, Dongguk University
2021 Reinforcement learning-assisted multi-task learning for EEG-based emotion recognition with contextual information, Institute of Industrial and Systems Engineering (IISE) Doctoral Colloquium
2021 Effectiveness of multi-task learning for deep learning on the prediction performance of EEG-based cognitive state recognition, Institute of Industrial and Systems Engineering (IISE)
2020 cGAN-based EEG data augmentation for neuroergonomics, US Korea Conference (UKC)
2020 DCGAN-based EEG data augmentation in cognitive state recognition, Institute of Industrial and Systems Engineering (IISE)
2020 Emotion recognition with a CNN using functional connectivity-based EEG features, Human Factors and Ergonomics Society (HFES)
2019 Detecting human trust calibration in automation: A deep learning approach, Human Factors and Ergonomics Society (HFES)
Membership
Institute of Industrial and Systems Engineering (IISE), 2019 - Present.
Human Factors and Ergonomics Society (HFES), 2018 - Present.
Korean-American Scientists and Engineers Association (KSEA), 2018 - Present.