Dr. Yeongdae Kim
Post-Doctoral Fellow - Department of Bioengineering
Bio & Research Focus
Dr. Yeongdae Kim is a postdoctoral researcher at the University of Colorado Denver, specializing in human-computer interaction, computational neuroscience, and assistive robotics. His expertise includes EEG and EMG signal analysis, motion capture, and the application of machine learning for prosthetic control and cognitive neuroscience. His research focuses on improving human-robot interaction (HRI) through the integration of physiological and behavioral data, with an emphasis on healthcare and assistive technologies.
Dr. Kim holds a PhD in Biomedical Engineering from Tokyo Institute of Technology, Japan. He is currently a member of the Socially Assistive Robotics (SAR) team at CIDE, where he develops assistive robotic systems for older adults. His work follows a V-model systems engineering approach, emphasizing iterative design, validation, and user-centered evaluation. His expertise includes usability and user acceptance studies, with a focus on assessing interaction quality, social presence, and technology adoption. Through this work, he aims to advance the effectiveness and real-world acceptance of assistive robotic systems.
Assistive and Rehabilitation Technologies
Neural Interfacing for Motor Control
Human-centered Robotics
Bio-signal Driven Human-Machine Interaction
Education
PhD, Human Centered Science and Biomedical Engineering
Tokyo Institute of Technology, Japan
2021
M.S., Signal Processing
Tokyo Institute of Technology, Japan
2017
B.S., Mechanical & Control Engineering
Handong Global University, Republic of Korea
2015
Academic Positions
Post-Doctoral Research Fellow
University of Colorado, Denver - Department of Bioengineering
2024 - Present
Postdoctoral Research Fellow
University fo Colorado, Denver - Department of Computer Science
2023 - 2024
Postdoctoral Research Fellow
Tokyo Institute of Technology, Department of Industrial Engineering and Economics
2021 - 2023
Selected Publications
- Kim, Yeongdae, Sorawit Stapornchaisit, Makoto Miyakoshi, Natsue Yoshimura, and Yasuharu Koike. "The effect of ICA and non-negative matrix factorization analysis for EMG signals recorded from multi-channel EMG sensors." Frontiers in Neuroscience 14 .1254. 2020 doi: 10.1145/3491101.3519772
- Kim, Yeongdae, Sorawit Stapornchaisit, Hiroyuki Kambara, Natsue Yoshimura, and Yasuharu Koike. "Muscle synergy and musculoskeletal model-based continuous multi-dimensional estimation of wrist and hand motions." Journal of Healthcare Engineering 2020. 2020 Kim, Yeongdae, Takane Ueno, Katie Seaborn, Hiroki Oura, Jacqueline Urakami, and Yuto Sawa. " Exoskeleton for the Mind: Exploring Strategies Against Misinformation with a Metacognitive Agent." Proceedings of the Augmented Humans International Conference. p 209-220. 2023 Doi: 10.3389/fnins.2020.600804