Michael Huang
Asst Professor
Zicklin School of Business
Department: N. P. Loomba Dept of Mgt
Areas of expertise: Operations Management, Machine Learning, Statistics
Email Address: michael.huang@baruch.cuny.edu
> View CV- Biography
- Teaching
- Research and Creative Activity
- Grants
- Honors and Awards
- Service
Education
Ph.D., Operations Management, University of Southern California Los Angeles United States
M.S., Operations Research, Columbia University New York United States
B.Sc., Operations Research, Columbia University New York United States
Journal Articles
(2026). Decision-Aware Denoising. Management Science,
(2024). Debiasing in-sample policy performance for small-data, large-scale optimization. Operations Research, 72(2). 848-870.
(2021). Dynamic server assignment in multiclass queues with shifts, with applications to nurse staffing in emergency departments. Operations Research, 69(6). 1936--1959.
Understanding Customer Preferences for Virtual and In-Person Services. In Progress.
Huang, M., & Rava, B. End-to-end Selective Decision-Making. In Progress.
Conference Proceedings
Huang, M., & Gupta, V. (2024). Decision-Focused Learning with Directional Gradients. Advances in Neural Information Processing Systems 37.
Huang, M., & Stein, C. (2017). Extending search phases in the Micali-Vazirani algorithm. 16th International Symposium on Experimental Algorithms (SEA 2017).
Presentations
Huang, M. (2026, July 23). End-to-End Selective Classification. Sydney, Australia: University of Sydney Business School.
Huang, M. (2026, June 23). End-to-End Selective Classification. 2026 Annual OTIM Symposium. Ithaca, NY: Cornell SC Johnson College of Business.
Huang, M., & Gupta, V. (2026, July 23). Decision-Focused Learning with Directional Gradients. International Conference on Continuous Optimization. Los Angeles, CA: Mathematical Optimization Society.
Huang, M., & Rava, B. (2026, November 23). End-to-End Selective Classification. 2025 INFORMS Annual Meeting. Atlanta, GA: INFORMS.
Huang, M., & Gupta, V. Decision-Focused Learning with Directional Gradients. 2024 INFORMS Annual Meeting. Seattle, WA: INFORMS.
Huang, M., & Gupta, V. (2026, September 23). Decision-Focused Learning with Directional Gradients. New York, NY: Columbia University.
Huang, M., & Gupta, V. (2026, July 23). Decision-Focused Learning with Directional Gradients. 25th International Symposium on Mathematical Programming. Montreal, Canada: Mathematical Optimization Society.
Huang, M., Gupta, V., & Rusmevichientong, P. (2026, February 23). Debiasing In-Sample Performance for Small-Data, Weakly-Coupled Settings. New York, NY: CUNY Baruch College.
Huang, M., Gupta, V., & Rusmevichientong, P. (2026, October 23). Decision-Aware Denoising. 2023 INFORMS Annual Meeting. Phoenix, AZ: INFORMS.
Huang, M., Gupta, V., & Rusmevichientong, P. (2026, March 23). Debiasing In-Sample Performance for Small-Data, Weakly-Coupled Settings. Rotman Young Scholar Seminar Series. Toronto, Canada: Joseph L. Rotman School of Management, University of Toronto.
Huang, M., Gupta, V., & Rusmevichientong, P. (2026, December 23). Debiasing In-Sample Performance for Small-Data, Weakly-Coupled Settings. Pittsburgb, PA: Carnegie Melon University.
Huang, M., Gupta, V., & Rusmevichientong, P. (2026, December 23). Debiasing In-Sample Performance for Small-Data, Weakly-Coupled Settings. New York, NY: Cornell Tech.
Huang, M., Gupta, V., & Rusmevichientong, P. (2026, December 23). Debiasing In-Sample Performance for Small-Data, Weakly-Coupled Settings. Ithaca, NY: Cornell University.
Huang, M., Gupta, V., & Rusmevichientong, P. (2026, October 23). Debiasing In-Sample Performance for Small-Data, Weakly-Coupled Settings. 2022 INFORMS Annual Meeting. Indianapolis, IN: INFORMS.
Huang, M., Gupta, V., & Rusmevichientong, P. (2026, October 23). Debiasing In-Sample Performance for Small-Data, Weakly-Coupled Settings. Cornell Young Researchers Workshop 2022. Ithaca, NY: Cornell University.
Huang, M., Gupta, V., & Rusmevichientong, P. (2026, July 23). Debiasing In-Sample Performance for Small-Data, Weakly-Coupled Settings. International Conference on Continuous Optimization. Bethlehem, PA: Mathematical Optimization Society.
Huang, M., Gupta, V., & Rusmevichientong, P. (2026, October 23). Learning Policy Performance for Weakly-Coupled Linear Optimization in the Small-Data, Large-Scale Regime. 2021 INFORMS Annual Meeting. Anaheim, CA: INFORMS.
Huang, M., Gupta, V., & Rusmevichientong, P. (2026, November 23). Decomposition Methods for Small-Data, Large-Scale Discrete Optimization. 2020 INFORMS Annual Meeting. Virtual: INFORMS.
Huang, M., Gupta, V., & Rusmevichientong, P. (2026, October 23). Decomposition Methods for Small-Data, Large-Scale Discrete Optimization. 2019 INFORMS Annual Meeting. Seattle, WA: INFORMS.
Huang, M., & Stein, C. (2026, June 23). Extending Search Phases in the Micali-Vazirani Algorithm. Symposium on Experimental Algorithms. London, UK
| Honor / Award | Organization Sponsor | Date Received | Description |
|---|---|---|---|
| Marshall PhD Teaching Award | 2022-04-08 | Awarded to a student instructor (including PhD students and post-doctoral re- searchers) each year by USC Marshall School of Business for outstanding teaching practice | |
| Marshall PhD Fellowship | 2021-09-08 | One of three fellowship awards of $10,000 given to PhD students on the quality of their dissertation proposal and research achievements | |
| Marshall Outstanding Researcher Award | 2021-05-25 | Awarded to two PhD candidates each year for exemplifying excellence in research | |
| Marshall/Graduate School Fellowship | 2017-09-01 | Merit-based fellowship for graduate students to support their doctoral work, cover- ing their tuition and stipend | |
| The Robert Gartland Fellowship | 2016-05-20 | Fellowship of $5,000 to support MS students in the Columbia IEOR department, who have demonstrated academic excellence and professional promise in engineering and its business applications |
College
| Committee Name | Position Role | Start Date | End Date |
|---|---|---|---|
| OMEGA Seminar | Committee Member | Present |
Professional
| Organization | Position Role | Organization State | Organization Country | Start Date | End Date | Audience |
|---|---|---|---|---|---|---|
| International Conference on Machine Learning | Reviewer, Conference Paper | 1/28/2023 | Present | International | ||
| Neural Information Processing Systems | Reviewer, Conference Paper | 3/28/2023 | Present | International | ||
| Manufacturing & Service Operations Management | Reviewer, Journal Article | 7/29/2022 | Present | International | ||
| INFORMS Annual Meeting | Session Chair | 4/1/2019 | Present | International | ||
| ICCOPT 2022 | Session Chair | 3/3/2022 | Present | International | ||
| Decision Sciences | Reviewer, Journal Article | 5/1/2026 | Present | International | ||
| Management Science | Reviewer, Journal Article | 7/1/2024 | Present | International | ||
| International Conference on Learning Representations | Reviewer, Conference Paper | 9/30/2024 | Present | International | ||
| Artificial Intelligence and Statistics | Reviewer, Conference Paper | 9/30/2024 | Present | International | ||
| INFORMS Annual Meeting | Session Chair | 4/18/2025 | Present | International | ||
| NYC Operations Day Organizing Committee | Committee Member | 6/1/2025 | Present | International | ||
| Operations Research | Reviewer, Journal Article | 6/1/2024 | Present | International |