Seeung Oh

Dr. Seeung Oh is an Assistant Professor of Industrial Engineering at South Carolina State University's Department of Engineering, part of the College of Science, Technology, Engineering, Mathematics, and Transportation. He joined the university in Fall 2022, focusing on teaching and mentoring students in the Industrial Engineering (IE) program. His research emphasizes human factors, neurological technologies, and trust in automated systems.

Education

• Ph.D. (2018): Industrial and Systems Engineering, North Carolina A&T State University
• B.S. and M.S.: Industrial Engineering, South Korea

Research Interests

• Human trust in automation using EEG
• Decision-making via brain-computer interfaces (BCI)
• User interface design and information visualization

His work bridges engineering and neuroscience, applying EEG technology to understand human-automation interactions.

Publications Focus on neurological measurements of trust, BCI applications, and human factors in automation systems. Recent work explores EEG-based trust metrics in automated environments.

Professional Background

• Former researcher at Samsung Medison Co., Ltd. (South Korea)
• Contributed to the Brain Korea 21 Phase II project
• Prior teaching experience at North Carolina A&T State University