About

Professor Dr. Lee has expertise in optimization and risk modeling for evaluation and quantification of uncertainty – the key factors in the decision making processes. Over the past couple of years his research has been focused on modeling and designing artificial intelligence systems. Recently, in March 2022, his NSF grant (SBIR) proposal in the blockchain division (distributed ledger) has been accepted (Award Number (FAIN): 2112078), where he serves as a Co-PI. His blockchain algorithm and related business models are effective for supply chain management, taking only desirable aspects from both central and decentralized systems based on a directed acyclic graph. He is an active scientist, his work has been published in European Journal of Operational Research, Operations Research Letters, Annals of Operations Research, Discrete Applied Mathematics and Computational Management Science, where one can find useful real-life applications of financial risk modeling, portfolio optimization, probability theory and related modeling, risk measures, corporate M&A deals evaluation, etc. Currently he works on blockchained supply chains, forecasting, data privacy, and new fairness and equity metrics using pseudo-Boolean functions.

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Organizational Affiliations

Decision Sciences (and Management Information Systems), Bennett S. LeBow College of Business, Drexel University

Past Affiliations

Instructor, Rutgers University USE Rutgers, The State University of New Jersey (United States, New Brunswick) - RU

Education

Business Administration
2003, BBA, Yonsei University (South Korea, Seoul)
Mathematics
2008, BS, Stony Brook University (United States, Stony Brook) - SBU
Operations Research
2014, PhD, University of New Brunswick (Canada, Fredericton) - UNB