Professor
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Sungho Suh (서승호)
Sungho Suh (서승호)
Assistant Professor
Department of Artificial Intelligence
Korea University
Assistant Professor
Department of Artificial Intelligence
Korea University
I am an Assistant Professor at the Department of AI at Korea University. I am interested in multimodal AI, generative models, and physics-informed neural networks with a focus on industrial applications, such as human activity recognition using wearable sensors, predictive maintenance, Vision-Language-Action (VLA) models, and Human-Robot Interaction.
I am an Assistant Professor at the Department of AI at Korea University. I am interested in multimodal AI, generative models, and physics-informed neural networks with a focus on industrial applications, such as human activity recognition using wearable sensors, predictive maintenance, Vision-Language-Action (VLA) models, and Human-Robot Interaction.
Education
Education
Ph.D. in Computer Science, Technische Universität Kaiserslautern (TUK), Germany, 2021 (Magna Cum Laude)
M.S. in Electrical Engineering and Computer Science, Seoul National University, Republic of Korea, 2011
B.S. in Electrical and Computer Engineering, Seoul National University, Republic of Korea, 2009
Work Experience
Work Experience
Assistant Professor, Korea University, Seoul, Republic of Korea, Mar 2025 - Present
Senior Researcher, German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany, Mar 2021 - Feb 2025
Wissenschaftlicher Mitarbeiter and Lecturer, RPTU Kaiserslautern-Landau, Germany, Apr 2022 - Feb 2025
Doctoral Researcher, KIST Europe, Saarbrücken, Germany, Mar 2018 - Feb 2021
Research Engineer, Samsung Electro-Mechanics, Republic of Korea, Aug 2011 - Mar 2018
Researchers
Seungyeol Baek (백승렬)
PhD Student (석박통합과정)
Sept. 2025 -
Physics-informed activity recognition, generative models
Hyojung Lee (이효정)
PhD Student (석박통합과정)
Sept. 2025 -
Human activity recognition, Self-supervised learning
Suin Hwang (황수인)
Master Student (석사과정)
Sept. 2025 -
Self-supervised learning, Generative models
Jingyi Tian (전정이田晶怡)
Master Student (석사과정)
Sept. 2025 -
Generative models, Multimodal learning
Geonhui Jo (조건희)
PhD Student (석박통합과정)
March 2026 -
Human Activity Recognition using Wearable sensors
Dowon Lee (이도원)
PhD Student (석박통합과정)
March 2026 -
Human Activity Recognition, Multimodal Learning
Minji Kim (김민지)
PhD Student (석박통합과정)
March 2026 -
Human Activity Recognition/Self-supervised learning
Khoa Anh Nguyen
PhD Student (박사과정)
March 2026 -
Multimodal Learning and Predictive Maintenance for Industrial Applications
Yunmin Cho (조윤민)
PhD Student (박사과정)
March 2026 -
Generative models, 3D simulation, Vision-Language-Action Model (VLA)
We are currently open for MS, PhD, and postdoc applications related to the topics below.
Wearable sensor-based Human Activity Recognition
Multimodal learning with industrial applications
Generative models for multimodal data
If you are interested in working in our lab as an intern, master's, PhD, or postdoctoral researcher, please email me with your CV and cover letter.
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