Hoda Bidkhori
- Assistant Professor
Contact Info
- Name
- Dr. Hoda Bidkhori
- Preferred Pronouns
- she/her
- Job Title
- Assistant Professor
- Phone Number
- Office Number
- Research Hall 380
Affiliations
Departments
- Computational & Data Sciences Department (Faculty)
Research Areas
- Deep Learning
- Optimization
- Artificial Intelligence
- Operations Research
Education
Postdoctoral Studies, Operations Research and Statistics, Massachusetts Institute of Technology
PhD, Applied Mathematics, Massachusetts Institute of Technology
Current Research
My research focuses on data analytics, optimization, and artificial intelligence. My mission is to utilize data to drive efficient decisions and tackle emerging social, environmental, and operational challenges. For example, I have worked on:
Developing robust AI methods for kidney exchange and organ allocation
Designing integrated learning and optimization frameworks for decision-making facing complex systems and environments
Selected Publications
- Multi-feature SEIR model for epidemic analysis and vaccine prioritization. Y. Hou*, and H. Bidkhori. PLOS ONE, 2024.
- Data-driven inventory policy: Learning from sequentially observed non-stationary data. K. Ren*, H. Bidkhori, and Z. J. M. Shen. OMEGA - The International Journal of Management Science, 2024.
- A study on distributionally robust optimization with incomplete joint data. K. Ren*, and H. Bidkhori. European Journal of Operational Research, 2023.
- Feature-modified SEIR model for pandemic simulation and evaluation for intervention approaches. Y. Hou*, and H. Bidkhori. Proceedings of the Winter Simulation Conference (WSC), 2022.
- Improving robustness: when and how to minimize or maximize the loss variance. V. Balaban*, H. Bidkhori, and P. Pogdan. 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022.
- Distributionally robust cycle and chain packing with application to organ exchange. D. C. McElfresh*, K. Ren*, H. Bidkhori, and J. P. Dickerson. Proceedings of the Winter Simulation Conference (WSC), 2021.
- Data-driven two-stage stochastic programming with marginal data. K. Ren*, and H. Bidkhori. Proceedings of the Winter Simulation Conference (WSC), 2021.
- Optimizing vaccine distribution in low and middle-income countries. Y. Yang*, H. Bidkhori, and J. Rajgopal. OMEGA - The International Journal of Management Science, 2021.
- Kidney exchange with inhomogeneous edge existence uncertainty. H. Bidkhori, J. P. Dickerson, D. C. McElfresh*, and K. Ren*. The Conference on Uncertainty in Artificial Intelligence, 2020.
- Analysis of process flexibility designs under disruptions. E. Mehmanchi*, H. Bidkhori, and O. Prokopyev. IISE Transactions, 2020.
- Scalable robust kidney exchange. D.C. McElfresh*, H. Bidkhori, and J.P. Dickerson. Conference on Artificial Intelligence (AAAI), 2019.
- Analyzing process flexibility: a distribution-free approach with partial expectation. H. Bidkhori, D. Simchi-Levi, and Y. Wei*. Operations Research Letters, 2016.
- On the performance of affine policies for two-stage adaptive optimization: a geometric perspective. D. Bertsimas, and H. Bidkhori. Mathematical Programming, 2015.
Contact Info
- Name
- Dr. Hoda Bidkhori
- Preferred Pronouns
- she/her
- Job Title
- Assistant Professor
- Phone Number
- Office Number
- Research Hall 380