Skip to: Main Content Search Navigation Secondary Navigation

Ohio University is open; Water service has been restored to buildings on and around University Terrace

 

Byung-Cheol Kim

Assistant Professor
Civil Engineering
STKR 139
kimb@ohio.edu
Phone: 740.593.1478

Dr. Kim joined Ohio University's Civil Engineering Department in Fall 2008. Prior to earning his doctorate, he worked for Samsung E&C Corporation as a construction engineer, bridge design planner, and project controls engineer. He is a registered structural engineer in Korea since 1998 and a PMP® (Project Management Professional) certified by PMI since 1999. He also wrote a book about Project Management (in Korean), which has been used as a textbook for project management courses in many universities.


Research Interests: Dr. Kim's principal research area is Construction Engineering and Management. His research interest includes forecasting, project risk management, performance monitoring and control, risk assessment and analysis, reliability-based infrastructure management, and decision making under uncertainty. As a part of his dissertation, he developed two new probabilistic forecasting methods for project schedule risk assessment. Programmed as an add-in for Microsoft Excel, those new methods can be used in most projects managed based on the earned value method or any other cumulative progress metrics, for example, % complete.

All Degrees Earned: Ph.D., Construction Management in Civil Engineering, Texas A&M University, 2007

Publications:

Kim, B. and Reinschmidt, K. F. (2012) “A Second Moment Approach to Probabilistic IRR using Taylor Series.” The Engineering Economist, 57(1), 1-19. SCIe.

Kim, B., and Reinschmidt, K. F. (2011). “Combination of Project Cost Forecasts in Earned Value Management.” ASCE Journal of Construction Engineering and Management, 137(11), 958-966. SCIe.

Kim, B. and Reinschmidt, K. F. (2010) “Probabilistic forecasting of project duration using Kalman filter and the Earned Value Method.” ASCE Journal of Construction Engineering and Management. 136(8), 834-843. SCIe.