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

Education

  • 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. https://doi.org/10.1016/j.patrec.2022.05.019.
  4. A. Srivastava, S.M. Salapaka. "Dynamic Parameters in Sequential Decision Making." in Automatica, Journal of IFAC. https://doi.org/10.1016/j.automatica.2022.110795
  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)

For more information, please go to http://mech.iitd.ac.in/content/srivastava-amber