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Misuk Lee

Associate Professor, Department of Management

Biography

Misuk Lee is an associate professor of Information Systems at the Albers School of Business and Economics. Her research focuses on forecasting, machine learning, and revenue management. Her teaching areas are machine learning, business analytics, and information systems. Prior to joining Albers, she taught at Salisbury University and Korea Aerospace University. She also worked as a business consultant and a data scientist at IBM Business Consulting Services and Intercontinental Hotels Group.

Education

PhD in industrial engineering, Georgia Institute of Technology

BS and MS in industrial engineering, Seoul National University

Courses Taught

BUAN 5201: Programming for Business Analytics

BUAN 5310: Machine Learning

BUAN 5510: Capstone Project in Business Analytics

IS 3150: Introduction to Information Systems

Publications

  • Timothy Webb, Misuk Lee, Zvi Schwartz, and Ira Vouk (2023), “Beyond Accuracy: Hotel Revenue Management Forecasting Using the k-Nearest Neighbor Algorithm”, Tourism Economics.
  • James J. Lee and Misuk Lee (2022), “Intelligent Structuration: Machine Learning Forecasting,” Issues in Information Systems, Vol 23, 239-246.
  • Misuk Lee (2020), “Will this search end up with booking? Modeling airline booking conversion of anonymous visitors,” Journal of Tourism Analysis, Volume 27 Issue 2, 237-250.
  • Misuk Lee, Xinpan Mu, and Yiqiao Zhang (2020), “A Machine Learning Approach To Improving Forecasting Accuracy of Hotel Demand: A Comparative Analysis of Neural Networks and Traditional Models,” Issues in Information Systems, Vol 21, Issue 1, 12-21.
  • James J. Lee and Misuk Lee (2020), “Artificial Social Intelligence: Hotel Rate Prediction,” Advances in Intelligent Systems and Computing, Vol 1130, 78-82.
  • Misuk Lee (2018), “Modeling and Forecasting Hotel Demand Based On Advance Booking Information,” Tourism Management, Vol 66, 62-71.
  • Misuk Lee and Byungjong Kim (2013), “How can growth in air travel demand influence airline productivity and profitability?” Korean Journal of Transport Research, Vol 20, Num 3.
  • Misuk Lee, Alexandre Khelifa, Laurie Garrow, Michel Bierlaire, and David Post (2012), “An analysis of destination choice for opaque airline products using multidimensional binary logit models,” Transportation Research Part A: Policy and Practice, Vol 46, Num 10, 1641-1653.
  • Laurie Garrow, Tudor D. Bodea, and Misuk Lee (2010), “Generation of Synthetic Datasets for Discrete Choice Analysis,” Transportation, Vol 37, Num 2, 183-202.