Srivastava, Amber

Areas of Interest: 

Optimization, Learning and Control, Sequential Decision Making, Industry 4.0, Operations Research, Markov Decision Processes and Reinforcement Learning, Manufacturing process optimization, System Identification, Data-driven and Predictive Control


  • PhD, Mechanical Engineering, University of Illinois Urbana Champaign
  • MS, Mathematics, University of Illinois Urbana Champaign
  • B.Tech, Indian Institute of Technology Kanpur

Academic/Industrial Experience

  1. Assistant Professor, Department of Mechanical Engineering, July 2023 - present.
  2. Postdoctoral Researcher, Automatic Control Laboratory, ETH Zürich, Switzerland, August 2021 - June 2023.
  3. Assistant Manager, ITC Limited, June 2014 - June 2015.

Selected Publications

  1. A. Srivastava and S. M. Salapaka, "Simultaneous Facility Location and Path Optimization in Static and Dynamic Networks," in IEEE Transactions on Control of Network Systems.doi:10.1109/TCNS.2020.2995831
  2. Srivastava, Amber, and Srinivasa M. Salapaka. "Parameterized MDPs and Reinforcement Learning Problems–A Maximum Entropy Principle-Based Framework." IEEE Transactions on Cybernetics (2021).doi:10.1109/TCYB.2021.3102510
  3. Srivastava, Amber, Raj K. Velicheti, and Srinivasa M. Salapaka. "On Determining and Qualifying the Number of Superstates in Aggregation of Markov Chains." in Elsevier Pattern Recognition Letters.
  4. A. Srivastava, S.M. Salapaka. "Dynamic Parameters in Sequential Decision Making." in Automatica, Journal of IFAC.
  5. A. Srivastava A, Baranwal M, Salapaka S. On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset. InProceedings of the AAAI Conference on Artificial Intelligence 2019 Jul 17 (Vol. 33, pp. 5000-5007)

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