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