Ilbin Lee, PhD - Directory@UAlberta.ca

Contact

Associate Professor, Alberta School of Business - Department of Accounting and Business Analytics

Email: ilbin@ualberta.ca
Phone: (780) 492-7763
Address: 3-21 C Business Building
11203 Saskatchewan Drive NW

Edmonton AB

T6G 2R6

Overview

Area of Study / Keywords

Decision-making Data uncertainty Data analytics Wildfire operations Healthcare Reinforcement learning Markov decision processes Policymaking

Research

Selected Research Papers

Lee, I. (2023) Is Separately Modeling Subpopulations Beneficial for Sequential Decision-Making? Operations Research. Davis, S., Zhang, J., Lee, I., Rezaei, M., Greiner, R., McAlister, F., & Padwal, R. (2022). Effective Hospital Readmission Prediction Models using Machine-Learned Features. BMC Health Services Research, 22, 1415.
Zheng, Y., Xie, Y., Lee, I., Dehghanian, A., & Serban, N. (2022). Parallel Subgradient Algorithm with Block Dual Decomposition for Large-scale Optimization. European Journal of Operational Research, 299(1), 60–74.
Curry, S., Lee, I., Ma, S., & Serban, N. (2022). Global Sensitivity Analysis via a Statistical Tolerance Approach. European Journal of Operational Research, 296(1), 44–59.
Lee, I., Curry, S., & Serban, N. (2019). Solving Large Batches of Linear Programs. INFORMS Journal on Computing, 31(2), 302–317.
Lee, I., Monahan, S., Serban, N., Griffin, P., & Tomar, S. (2018). Estimating the Cost Savings of Preventive Dental Services Delivered to Medicaid-Enrolled Children in Six Southeastern States. Health Services Research, 53(5), 3592–3616.

Selected Presentations

Retirement Decision-Making: When is the Right Time?
– INFORMS Annual Meeting, October 2024
Data-Driven Predictive and Prescriptive Approach for Wildfire Suppression Resource Deployment: A Case Study of Alberta Wildfires
– INFORMS Annual Meeting, October 2023
The Curse of Passive Data Collection in Batch Reinforcement Learning
– CORS/INFORMS International Conference, June 2022
Estimating the Treatment Effect of Initial Attack Resources in Wildfire Suppression
– Wildland Fire Canada Conference, November 2022
– POMS Conference, April 2022
Effective Hospital Readmission Prediction Models using Machine-Learned Features
– CORS Conference, May 2023
– INFORMS Healthcare Conference, July 2021
– INFORMS Annual Meeting, November 2020
Is Separately Modeling Subpopulations Beneficial for Sequential Decision-Making?
– INFORMS Annual Meeting, October 2022
– MSOM Conference, June 2022
– ESCP Business School, May 2022
– Industrial and Systems Engineering, KAIST, December 2019
– Industrial Management Engineering, Korea University, December 2019
– Management Science, University of Waterloo, November 2019
– INFORMS Healthcare Conference, July 2019
– INFORMS Computing Society Conference, January 2019
– Sauder School of Business, University of British Columbia, October 2018

Announcements

A Spotlight on Research at the Alberta School of Business

What does the 'Markov decision process' have to do with call centres?

My findings tell us...

A new algorithm can improve firm solutions.
Firms can minimize overall labour and waiting time costs using this new algorithm.
This new algorithm finds a 'rule' that is simple to implement resulting in optimal staffing levels.

Read more about this research...