Publications and preprints

  1. On the strength of Lagrangian duality for multiobjective integer programming (M. Brun, T. Perini, S. Sinha, A.J. Schaefer) Mathematical Programming, 2024.(link)
    Winner, INFORMS Undergraduate Operations Research Prize, 2022
  2. Markov decision process design: A framework for integrating strategic and operational decisions (S. Brown, S. Sinha, A.J. Schaefer) Operations Research Letters, 2024. (link, preprint)
  3. Relaxations and duality for multiobjective integer programming (A. Dunbar, S. Sinha, A.J. Schaefer) Mathematical Programming, 2023. (link, preprint)
    Finalist, INFORMS Undergraduate Operations Research Prize, 2020
  4. Characterizing rational transplant program response to outcome-based regulation (D. Mildebrath, T. Lee, S. Sinha, A.J. Schaefer, A.O. Gaber) Operations Research, 2023. (link, preprint)
  5. Policy iteration for robust nonstationary Markov decision processes. (S. Sinha, A. Ghate.) Optimization Letters, Vol 10(8), 1613-1628, 2016. (preprint)
  6. Robust response-guided dosing. (S. Sinha, J. Kotas, A. Ghate) Operations Research Letters, Vol 44(3), 394-399, 2016. (link)

Working papers

  1. Approximate policy iteration for robust countable-state Markov decision processes. (S. Sinha, A. Ghate)
  2. A robust multi-period Newsvendor model with inventory balance constraints (S. Sinha, M.R. Wagner, A. Ghate)
  3. Incentives in outcome-based regulation for lung transplantation (D. Mildebrath, S. Sinha, T. Lee, A.J. Schaefer, H.J. Huang, A.O. Gaber)
  4. Duality for countably infinite integer programs (R. Schellenberger, S. Sinha, A.J. Schaefer)
  5. Value iteration for infinite-horizon risk-sensitive Markov decision processes (D. Zhang, S. Sinha, M. Hemmati, A.J. Schaefer)

Doctoral dissertation

  • Robust dynamic programming: theory and applications (pdf)