(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 BV. 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.Informa UK Limited. doi: 10.1080/24725854.2020.1759162.
McElfresh, D.C., Bidkhori, H., & Dickerson, J.P. (2019). Scalable robust kidney exchange. Conference on Artificial Intelligence (AAAI)., 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 BV. 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 Science and Business Media LLC. 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 BV. 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), 13, (pp. 1-9).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).