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

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:

 


 

About

Home of the first established industrial engineering program in the world, the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering (IME) at Penn State has made a name for itself in the engineering industry through its storied tradition of unparalleled excellence and innovation in research, education, and outreach.

We are Innovators. We are Makers. We are Excellence in Engineering. We are Penn State IME.

The Harold and Inge Marcus Department of
Industrial and Manufacturing Engineering

310 Leonhard Building

The Pennsylvania State University

University Park, PA 16802-4400

Phone: 814-865-7601

FAX: 814-863-4745