Last updated: August 2021

Department of Mathematics, University of Erlangen-Nuremberg, Germany

also affiliated with the UT COVID-19 Modeling Consortium

Previously: Postdoctoral Appointee, Discrete Math & Optimization, Sandia National Laboratories, Albuquerque, USA , 2017-19 with Jean-Paul Watson

bismark.singh"put 'at' here"gmail "dot" com

bismark.singh"put 'at' here"fau "dot" de


Dissertation: "Optimal Spatiotemporal Resource Allocation in Public Health and Renewable Energy"

Advisors: David Morton, co-advised by Lauren Meyers

Portfolio in Scientific Computation (2015)

  • MS, Operations Research & Industrial Engineering, The University of Texas at Austin, USA (2013)

  • B.Tech, Chemical Engineering, Indian Institute of Technology (IIT) Delhi, India (2011)

Research Interests :

Stochastic optimization; chance constraints; applications to renewable energy, public health, resiliency.

Latest News:

🎉 There are several Bachelor and Master thesis available

🎉I wrote a blog for Nature Communications for our recently published article that helped Austin, Texas avoid COVID-19 hospital surges and long lockdowns

🎉 Our work on Lagrangian relaxations for chance constraints is now published by JoGO

🎉 I was invited by Schloss Dagstuhl in May, 2021

🎉 Mar'21: My MS student Oliver Rehberg defended his thesis, and submitted our work for peer-review

Selected Publications

(see CV or Google Scholar Scopus AuthorID: 56493626200 ORCID iD for complete list):

  1. Daniel Duque, David Morton, Bismark Singh, Zhanwei Du, Remy Pasco, Lauren Ancel Meyers "Timing Social Distancing to Avert Unmanageable COVID-19 Hospital Surges ". Proceedings of National Academy of Sciences (2020) [here]

  2. Bismark Singh. "Tighter Reformulations using Classical Dawson and Sankoff Bounds for Approximating Two-Stage Chance-Constrained Programs". Optimization Letters (2020) [here]

  3. Bismark Singh, Steffen Rebennack, and Oleg Prokopyev. "Two-Stage Stochastic Minimum s-t Cut Problems: Formulations and Complexity". Networks (2019) [here]

  4. Bismark Singh, Bernard Knueven, Jean-Paul Watson. "Modeling Flexible Generator Operating Regions via Chance-constrained Stochastic Unit Commitment". Computational Management Science (2020) [here]

  5. Bismark Singh, David P Morton, and Surya Santoso. "An Adaptive Model with Joint Chance Constraints for a Hybrid Wind-Conventional Generator System". Computational Management Science (2018) [here]

  6. Bismark Singh, Hsin-Chan Huang, David P Morton, Gregory P Johnson, Alexander Gutfraind, Alison P Galvani, Bruce Clements, and Lauren A Meyers. "Optimizing Distribution of Pandemic Influenza Antiviral Drugs". Emerging Infectious Diseases (2015) [here]