The `*' represents that the authors have contributed equally.
Journal
Published
[arXiv] S. Das, L. Schenato, and S. Dey. On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm, to appear in IEEE Transactions on Control of Network Systems, 2026.
[doi] S. Das, L. Schenato, and S. Dey. Provable local acceleration in HBNET-GIANT: An accelerated Newton-type distributed optimization algorithm, to appear in the European Journal of Control, 2026.
[doi, arXiv] S. Das* and S. Ganguly*. Residual-based attack detection in cyber-physical systems: An optimal transport viewpoint, to appear in IEEE Signal Processing Letters, 2026. (The arXiv version contains additional results)
[doi, arXiv] S. Ganguly, A. Aravind, S. Das, M. Nagahara, and D. Chatterjee. Sparse robust optimal control in continuous-time: A computationally viable approach, to appear in IEEE Transactions on Automatic Control, 2026.
[doi, arXiv] S. Das, P. Dey, and D. Chatterjee. Almost sure detection of the presence of malicious components in cyber-physical systems, Automatica, 2024.
[doi] S. Das*, A. Aravind*, A. Cherukuri, and D. Chatterjee. Near-optimal solutions of convex semi-infinite programs via targeted sampling, Annals of Operations Research, 2022.
[doi, arXiv] S. Ganguly*, S. Das*, D. Chatterjee, and R. Banavar. A discrete-time Pontryagin maximum principle under rate constraints, Asian Journal of Control, 2024.
Submitted
N. Saha, S. Das, Parthanil, D. Chatterjee, and P. Roy. High-probability detection of adversarial attacks in finite Markov Decision Processes, submitted.
S. Das and S. Dey. Communication-efficient Newton-type fully distributed optimization algorithms with global linear convergence, submitted.
S. Das, C. Medona, P. Patil, A. De, and D. Chatterjee. PRE-TADV: Adversarial Defense to Linear Time-Invariant Systems, submitted.
S. Ganguly*, S. Das*, M. Anjali, and D. Chatterjee. Continuous-time robust predictive control Part I: exact algorithmic solutions, submitted to SICON.
S. Das, A. Ghosh, and D. Chatterjee. An algorithm to detect sensor attacks in cyber-physical systems, submitted to Automatica.
In preparation
Fast distributed algorithm for solving recursive least squares problems, with Hideaki Ishii.
Developing second-order algorithms for Nash equilibrium seeking in aggregate games, with Hideaki Ishii.
Linear convergence of fixed-point iterations under a general compressed scheme, with Subhrakanti Dey.
A cubic regularized Network-GIANT for non-convex, with Subhrakanti Dey.
Nesterov's acceleration in approximate Newton-type fully distributed optimization via nonexpansive operator theory, with Subhrakanti Dey.
Design of optimal detectors to detect adversarial attacks in noisy stochastic systems, with Siddhartha Ganguly.
Continuous-time robust model predictive control, with Siddhartha Ganguly and Debasish Chatterjee.
Unpublished pre-prints
SwiftNav: A probabilistic global optimizer derived from the Walker slice sampling, with A. Gupta, S. Das, and D. Chatterjee. .
Adversarial defense to linear systems with sensor/actuator placement, with Carlyn Medona, Abir De, and Debasish Chatterjee.
Tunable Interval Predictor Models with the Conditional Value-at-Risk, with Federico A. Ramponi.
Conference
[doi] S. Das, Luca Schenato, and S. Dey. HBNet-GIANT: An accelerated heavy-ball Newton-type distributed algorithm, European Journal of Control, 2026. (Invited for special issue in European Journal of Control)
[doi, arXiv] S. Das and S. Dey. CoNet-GIANT: A compressed Newton-type fully distributed optimization algorithm, IEEE International Conference on Communication (ICC), 2026.
[doi, arXiv] S. Das*, S. Ganguly*, A. Aravind*, and D. Chatterjee. Data-driven distributionally robust MPC via semi-infinite semidefinite programming: an application to finance, 26th International Symposium on Mathematical Theory of Networks and Systems (MTNS), 2024.
[doi] S. Das, A. Ghosh, and D. Chatterjee. Detection of false data injection attacks in cyber-physical systems, International Symposium on Information Theory (ISIT), 2024.
[doi, arXiv] S. Das*, S. Ganguly*, M. Anjali, and D. Chatterjee. Towards continuous-time constrained MPC, IEEE Conference on Decision & Control, Singapore, 2023.
[doi, arXiv] S. Ganguly*, S. Das*, D. Chatterjee, and R. Banavar. Rate constraint discrete-time maximum principle, 7th IFAC Workshop on Lagrangian and Hamiltonian Methods for Nonlinear Control, Berlin, 2021.
[doi] S. Das and S. Sen. Effect of history on the transient response of a closed-loop system with a fractional PI controller, Indicon, 2018.
S. Das, A. Aravind, D. Chatterjee, and A. Cherukuri . A global optimization approach to exact solutions of convex semi-infinite programs, Patent no. 512296, Application no. 202121061723.