headshot of Hoda Bidkhori

Hoda Bidkhori

Adjunct Assistant Professor
Homepage of Hoda Bidkhori Industrial Engineering

overview

Dr. Hoda Bidkhori is an Assistant Professor at the Department of Industrial Engineering, University of Pittsburgh. Before joining the University of Pittsburgh, she was a lecturer in the Operations Research and Statistics Group at the MIT Sloan School of Management and a postdoctoral research associate in Operations Research and Statistics at MIT. She has received her Ph.D. in Applied Mathematics from the Massachusetts Institute of Technology. In particular, she worked on:

Prescriptive data analytics for services and operations.
Robust AI for kidney exchange.
Analytics for flexibility in manufacturing and services

Here is her personal homepage:
https://sites.google.com/view/hodabidkhori

about

(2009) Roger Family First Prize, for Mentoring in Undergraduate Research Program at Massachusetts Institute of Technology, SPUR program.

(2008) Roger Family First Prize, for Mentoring in Undergraduate Research Program at Massachusetts Institute of Technology, SPUR program.

(2007) Roger Family Second Prize, for Mentoring in Undergraduate Research Program at Massachusetts Institute of Technology, SPUR program.

(2002) Second Prize, 9th International Competition for University Students, Warsaw, Poland..

(2001) Third Prize, 8th International Competition for University Students, Prague, Czech, 2001..

Ph.D, Massachusetts Institute of Technology

Postdoctoral in Operations Research, Massachusetts Institute of Technology, Cambridge

Lecturer in Operations Research and Statistics Group, MIT Sloan School of Management

Bertsimas, D., Bidkhori, H., & Dunning, I. (2021). Price of flexibility.

Ren, K., & Bidkhori, H. (2021). A study on distributionally robust optimization with incomplete joint data.

Yang, Y., Bidkhori, H., & Rajgopal, J. (2021). Optimizing vaccine distribution networks in low and middle-income countries. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 99, 102197.Elsevier. doi: 10.1016/j.omega.2020.102197.

Bidkhori, H., Dickerson, J.P., McElfresh, D.C., & Ren, K. (2020). Kidney Exchange with Inhomogeneous Edge Existence Uncertainty. UAI: Uncertainty in Artificial Intelligence.

Mehmanchi, E., Bidkhori, H., & Prokopyev, O.A. (2020). Analysis of process flexibility designs under disruptions. IISE TRANSACTIONS, 53(2), 131-148.Taylor & Francis. doi: 10.1080/24725854.2020.1759162.

McElfresh, D.C., Bidkhori, H., & Dickerson, J.P. (2019). Scalable robust kidney exchange. 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, 1077-1084.

Bidkhori, H., Simchi-Levi, D., & Wei, Y. (2016). Analyzing process flexibility: A distribution-free approach with partial expectations. OPERATIONS RESEARCH LETTERS, 44(3), 291-296.Elsevier. doi: 10.1016/j.orl.2016.02.008.

Bertsimas, D., & Bidkhori, H. (2015). On the performance of affine policies for two-stage adaptive optimization: a geometric perspective. MATHEMATICAL PROGRAMMING, 153(2), 577-594.Springer Nature. doi: 10.1007/s10107-014-0818-5.

Bidkhori, H. (2012). Finite Eulerian posets which are binomial, Sheffer or triangular. JOURNAL OF COMBINATORIAL THEORY SERIES A, 119(3), 765-787.Elsevier. doi: 10.1016/j.jcta.2011.11.002.

Bidkhori, H., & Huang, S. (2011). Strongly Cancellative and Recovering Sets on Lattices. ELECTRONIC JOURNAL OF COMBINATORICS, 18(1).The Electronic Journal of Combinatorics. doi: 10.37236/562.

Bidkhori, H., & Kishore, S. (2011). A Bijective Proof of a Theorem of Knuth. COMBINATORICS PROBABILITY & COMPUTING, 20(1), 11-25.Cambridge University Press (CUP). doi: 10.1017/S0963548310000192.

Bidkhori, H., & Sullivant, S. (2011). Eulerian-Catalan Numbers. ELECTRONIC JOURNAL OF COMBINATORICS, 18(1), 1-10.The Electronic Journal of Combinatorics. doi: 10.37236/674.

Bertsimas, D., Bidkhori, H., & Dunning, I. Price of flexibility.

Bidkhori, H., Ren, K., & Shen, Z.M. Data-driven inventory policy: learning from sequentially observed non-stationary data.

Ren, K., & Bidkhori, H. Data-driven two-stage stochastic programming with marginal data. Winter Simulation Conference Proceedings.

Ren, K., McElfresh, D., Dickerson, J.P., & Bidkhori, H. Distributionally robust cycle and chain packing with application to organ exchange. Winter Simulation Conference Proceedings.

Bidkhori, H. (2019). Data-driven decision-making facing a complex data environment. Department of Math Colloquium, University of Pittsburgh.

Bidkhori, H. (2019). New Paradigm of Decision Making for Stronger Modeling and Computation Capacity, DARPA Lagrange Final Meeting,. Arlington, VA.

Bidkhori, H. (2019). Choosing the right data-driven inventory policy: what to learn from the data?. POMS Annual Meeting, Washington, DC.

Bidkhori, H. (2019). Data-driven decision-making facing complex data environment. Pittsburgh, PA.

Bidkhori, H. (2018). Choosing the right data-driven inventory policy: what to learn from the data? Robert H Smith School of Business. University of Maryland.

Bidkhori, H. (2018). Choosing the right data-driven inventory policy: what to learn from the data?. The Questrom School of Business, Boston University.

Osorio, C., & Bidkhori, H. (2012). Combining Metamodel Techniques and Bayesian Selection Procedures to Derive Computationally Efficient Simulation-Based Optimization Algorithms. In Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC), (pp. 1-9).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/wsc.2012.6465111.

Bidkhori, H. (2011). Finite Eulerian posets which are binomial or Sheffer. In FPSAC'11 - 23rd International Conference on Formal Power Series and Algebraic Combinatorics, (pp. 159-170).

Research interests

Data Analyitcs
data-driven decision making