Dr. KwangHyuk Im
Introduction Education & Training Research & Creative Interests

Dr. KwangHyuk Im

Assistant Professor Office: 4010 - Klehm Hall
Phone: 217-581-3254
Email: kim@eiu.edu

INTRODUCTION

Dr. Im is an assistant professor of Construction Management with Lumpkin College of Business and Technology, Eastern Illinois University. His research interests include economic impact assessments and benefit-cost analysis, disaster risk reduction, risk management & decision science, financial modeling, econometrics, underground construction including pipelines and tunnels, underground space development, and the impact of climate change with respect to the construction industry. He earned a B.S. in Architecture and Architectural Engineering at the University of Seoul and an M.B.A. with a specialization in Finance at the University of Massachusetts, and both an M.S. and Ph.D. in Construction Engineering and Management at Purdue University.

Education & Training

Ph.D., Construction Engineering and Management, Lyles School of Civil Engineering, Purdue University, IN


M.S., Construction Engineering and Management, Lyles School of Civil Engineering, Purdue University, IN


M.B.A., Business Administration with a specialization in Finance, College of Management, University of Massachusetts, MA


B.S., Architecture & Architectural Engineering, School of Architecture & Architectural Engineering, University of Seoul, Seoul, Korea

Research & Creative Interests

Research application areas
Economic impact assessments; benefit-cost analysis; disaster risk reduction; critical infrastructure security and interdependency; risk management & decision science; financial modeling; resilience and sustainability; econometrics; underground construction including pipelines and tunnels; underground space development; impact of climate change with respect to the construction industry; risk analysis and uncertainty modeling

Methodological research tools
Interindustry macro modeling; inoperability input-output modeling; econometric & statistical modeling; strategic and quantitative decision modeling; dynamic input-output inoperability modeling; cost-benefit assessment techniques; theoretical framework for the macroeconomic modeling; simulation and scenario-based analysis; stochastic simulation  techniques; stochastic efficiency techniques; sensitivity analysis with respect to breakeven stochastic techniques; distribution fitting capabilities techniques