Photo of Anirudh Subramanyam

Anirudh Subramanyam

Charles and Enid Schneider Early Career Assistant Professor

Affiliation(s):

  • Industrial and Manufacturing Engineering

353 Leonhard Building

azs7266@psu.edu

814-863-2365

Research Areas:

Operations Research; Operations, Services, and Analytics

Interest Areas:

Optimization under uncertainty, robust and stochastic optimization, distributed optimization and control, high-performance computing, power and energy systems, transportation and distribution logistics, infrastructure systems

 
 

 

Education

  • B.Tech., Chemical Engineering, Indian Institute of Technology Bombay, 2013
  • Ph.D., Process Systems Engineering, Carnegie Mellon University, 2018

Publications

Journal Articles

  • T Cokyasar, Anirudh Subramanyam, J M Larson, M Stinson and O Sahin, 2023, "Time-Constrained Capacitated Vehicle Routing Problem in Urban E-Commerce Delivery", Transportation Research Record, 2677, (2), pp. 190–203
  • Anirudh Subramanyam, T Cokyasar, J M Larson and M Stinson, 2022, "Joint Routing of Conventional and Range-Extended Electric Vehicles in a Large Metropolitan Network", Transportation Research Part C: Emerging Technologies, 144, pp. 103830
  • Anirudh Subramanyam, J M Roth, A Lam and M Anitescu, 2022, "Failure-probability-constrained AC optimal power flow", IEEE Transactions on Power Systems, 37, (6), pp. 4683–4695
  • A Izadkhah, Anirudh Subramanyam, J M Lainez-Aguirre, J M Pinto and C E Gounaris, 2022, "Quantifying the impact of delivery day flexibility on last-mile delivery costs", Digital Chemical Engineering, 5, pp. 100057
  • Anirudh Subramanyam and A Lagrangian, 2022, "A Lagrangian Dual Method for Two-Stage Robust Optimization with Binary Uncertainties", Optimization and Engineering, 23, (4), pp. 1831–1871
  • S Tong, Anirudh Subramanyam and V Rao, 2022, "Optimization under rare chance constraints", SIAM Journal on Optimization, 32, (2), pp. 930–958
  • A Wang, Anirudh Subramanyam and C E Gounaris, 2022, "Robust vehicle routing under uncertainty via branch-price-and-cut", Optimization and Engineering, 23, (4), pp. 1895–1948
  • Anirudh Subramanyam, F Mufalli, J M La´inez-Aguirre, J M Pinto and C E Gounaris, 2021, "Robust multi-period vehicle routing under customer order uncertainty", Operations Research, 69, (1), pp. 30–60
  • Anirudh Subramanyam, C E Gounaris and W Wiesemann, 2020, "K-adaptability in two-stage mixed-integer robust optimization", Mathematical Programming Computation, 12, pp. 193–224
  • Anirudh Subramanyam, P P Repoussis and C E Gounaris, 2020, "Robust optimization of a broad class of heterogeneous vehicle routing problems under demand uncertainty", INFORMS Journal on Computing, 32, (3), pp. 661–681
  • Anirudh Subramanyam, A Wang and C E Gounaris, 2018, "A scenario decomposition algorithm for strategic time window assignment vehicle routing problems", Transportation Research Part B: Methodological, 117, pp. 296–317
  • Anirudh Subramanyam and C E Gounaris, 2018, "A decomposition algorithm for the consistent traveling salesman problem with vehicle idling", Transportation Science, 52, (2), pp. 386–401
  • Anirudh Subramanyam and C E Gounaris, 2016, "A branch-and-cut framework for the consistent traveling salesman problem", European Journal of Operational Research, 248, (2), pp. 384–395

Conference Proceedings

  • V Rao, Anirudh Subramanyam, M Schanen, Y Kim, M Anitescu and I Satkauskas, 2022, "Frequency Recovery in Power Grids using High-Performance Computing", Association for Computing Machinery, New York, NY, USA, 20, pp. 1–6
  • Tianyang Yi, Shibshankar Dey, Adrian Maldonado, Sanjay Mehrotra and Anirudh Subramanyam, , "Discrete-Continuous Gaussian Mixture Models for Wind Power Generation"

Newsletters

  • M Anitescu, K Kim, Y Kim, A Maldonado, F Pacaud and Anirudh Subramanyam, 2021, "Targeting Exascale with Julia on GPUs for multiperiod optimization with scenario constraints", 29, (1)

Other

  • M Schanen, D A Maldonado, F Pacaud, A Montoison, M Anitescu and Anirudh Subramanyam, 2020, "Julia as a Portable High-Level Language for Numerical Solvers of Power Flow Equations on GPU Architectures"

Research Projects

  • December 2022 - November 2025, "Collaborative Research: AMPS: Robust Failure Probability Minimization for Grid Operational Planning with Non-Gaussian Uncertainties," (Sponsor: National Science Foundation).
  • August 2022 - August 2024, "New Abstractions and Randomized Algorithms for Multiscale Stochastic Optimization," (Sponsor: Argonne National Laboratory).

Honors and Awards

  • Best Publication in Energy, Institute for Operations Research and the Management Sciences (INFORMS), October 2023
  • Howard Rosenbrock Prize, Optimization and Engineering, May 2023
  • Honorable Mention for Best Dissertation Prize in Transportation Science and Logistics, Institute for Operations Research and the Management Sciences (INFORMS), October 2019
  • John and Claire Bertucci Graduate Fellowship, Carnegie Mellon University, August 2015

Service

Service to Penn State:

Service to External Organizations: