51品茶

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Seeung Oh
Seeung Oh

EngineeringAssistant Professor of Industrial EngineeringEngineering and Computer Science Complex 349803-536-7140

Seeung Oh

Dr. Seeung Oh is an assistant professor of industrial engineering in the Department of Engineering at 51品茶 starting Fall 2022. With his strong passion for teaching, he is very excited to teach students in the Industrial Engineering (IE) program in the department of Engineering at 51品茶. He helps and supports students to be professional industrial engineers. He hopes that he can be remembered for a long time after our students graduate. Dr. Oh鈥檚 research area is human factors. With a strong background in industrial engineering from B.S, M.S, and Ph. D, he is confident to engage Industrial Engineering (IE) seniors in capstone projects with clear guidance and consistent feedback. He encourages students to submit their projects to a conference or apply for internships. He hopes the capstone project experience can increase their interest in research. He will contribute to the Industrial Engineering (IE) program, Department of Engineering, and College of Science, Technology, Engineering, Mathematics, and Transportation at 51品茶. 

Education

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

Background

In South Korea, he worked in the Quality Management team at Samsung Medison Co., Ltd. and as a researcher, he participated in the Brain Korea 21 Phase II project. Before joining 51品茶, he taught a wide range of industrial engineering and engineering technology courses in the Department of Applied Engineering Technology at NCAT.

Research Interests

  • Human factors and ergonomics with neurological technologies 
  • Human trust in automated systems 
  • Decision-making and brain-computer interface (BCI) 
  • User interface (UI) design and information visualization

Selected publications 

  • Seeung Oh, Younho Seong, Sun Yi, & Sangsung Park, 2022. Investigation of Human Trust by Identifying Stimulated Brain Regions Using Electroencephalogram, Information & Communications Technology Express (ICT Express). Online & Print    
  • Seeung Oh, Younho Seong, Sun Yi, and Sangung Park, 2020. Neurological Measurement of Human Trust in Automation Using Electroencephalogram, International Journal of Fuzzy Logic and Intelligent Systems (IJFIS), Vol. 20, No. 4, December 2020, pp. 261-271  
  • Seeung Oh & Younho Seong, 2019. Neural Investigation of Human Trust Using Electroencephalogram, International Advanced Research Journal in Science, Engineering, and Technology (IARJSET), Volume 6, Issue 7, Online & Print.