​Doctoral Dissertation

  • Sarthak Chatterjee, Analysis and Design of Closed-Loop Fractional-Order Systems and its Applications to Neurotechnology, Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy NY, August 2021 (submitted July 2021) (slides) (view PDF version).

Publications in International Journals

  • Emily Reed, Sarthak Chatterjee, Guilherme Ramos, Paul Bogdan, Sérgio Pequito, Fractional cyber-neural systems - a brief survey, Annual Reviews in Control, vol. 54, pp. 386-408, 2022 (view PDF version).
  • Sarthak Chatterjee, Subhro Das, Sérgio Pequito, NEO: NEuro-Inspired Optimization - A Fractional Time Series Approach, Frontiers in Physiology (Fractal Physiology), special issue on Inference, Causality, and Control in Networks of Dynamical Systems: Data Science and Modeling Perspectives to Network Physiology with Implications for Artificial Intelligence, DOI: 10.3389/fphys.2021.724044
  • Sarthak Chatterjee, Andrea Alessandretti, A. Pedro Aguiar, Sérgio Pequito, Discrete-Time Fractional-Order Dynamical Networks Minimum-Energy State Estimation, IEEE Transactions on Control of Network Systems, vol. 10, no. 1, pp. 226-237, March 2023 (view PDF version).
  • Sarthak Chatterjee, Orlando Romero, Arian Ashourvan, Sérgio Pequito, Fractional-Order Model Predictive Control as a Framework for Electrical Neurostimulation in Epilepsy, Journal of Neural Engineering, vol. 17, no. 6, Art. no. 066017, December 2020 (view PDF version).
  • Sarthak Chatterjee, Orlando Romero, Sérgio Pequito, Analysis of a Generalized Expectation-Maximization Algorithm for Gaussian Mixture Models: A Control Systems Perspective, International Journal of Control, vol. 95, no. 10, pp. 2734-2742 (view PDF version). 
  • Sarthak Chatterjee, Orlando Romero, Sérgio Pequito, A Separation Principle for Discrete-Time Fractional-Order Dynamical Systems and Its Implications to Closed-Loop Neurotechnology, IEEE Control Systems Letters, vol. 3, no. 3, pp. 691-696, July 2019, DOI: 10.1109/LCSYS.2019.2917164 (view PDF version).
  • Sudipto Mukherjee, Debdipta Goswami, Sarthak Chatterjee, A Lagrangian Approach to Modeling and Analysis of a Crowd Dynamics, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 45, no. 6, pp. 865-876, June 2015, DOI: 10.1109/TSMC.2015.2389763 (view PDF version).
  • Sarthak Chatterjee, Debdipta Goswami, Sudipto Mukherjee, Swagatam Das, Behavioral analysis of the leader particle during stagnation in a particle swarm optimization algorithm, Information Sciences, Volume 279, 20 September 2014, pp. 18-36, ISSN 0020-0255, DOI: 10.1016/j.ins.2014.03.098 (view PDF version).
  • Swagatam Das, Debdipta Goswami, Sarthak Chatterjee, Sudipto Mukherjee, Stability and chaos analysis of a novel swarm dynamics with applications to multi-agent systems, Engineering Applications of Artificial Intelligence, Volume 30, April 2014, pp. 189-198, ISSN 0952-1976, DOI: 10.1016/j.engappai.2013.12.014 (view PDF version).

Publications in International Conferences

  • Song Zhai, Jie Ren, Judong Shen, Sarthak Chatterjee, Yuting Xu, Andy Liaw, Vladimir Svetnik, Omkar Patil, Ray Dorsey, Jamie Adams, Marissa Dockendorf, Richard Baumgartner, Developing composite digital measures for tracking Parkinson’s Disease (PD) progression using a comprehensive machine learning-based framework, presented at the International Congress of Parkinson’s Disease and Movement Disorders (MDS) 2024, Philadelphia, PA, USA.
  • Janita Hogan, Seth Robey, Sarthak Chatterjee, Jie Ren, Marissa Dockendorf, and Kelly Yee, Optimization of Parkinson's Disease Digital Biomarkers through Clinical Trial Simulations, presented at the American Society for Clinical Pharmacology and Therapeutics (ASCPT) 2024 Annual Meeting, Colorado Springs, CO, USA (also appears in Clinical Pharmacology & Therapeutics, Volume 115, Issue S1, p. S51).
  • Sarthak Chatterjee, Jie Ren, Omkar Patil, and Marissa Dockendorf, Analyzing Data from Digital Health Technologies: Key Issues and Strategies, presented as a poster at the 2023 IEEE-EMBS International Conference on Body Sensor Networks, MIT Media Lab, Boston, MA, USA.
  • ​Sarthak Chatterjee, Subhro Das, Sérgio Pequito, IF: Iterative Fractional Optimization, proceedings of the 29th (virtual) European Symposium on Artificial Neural Networks, Computational Intelligence, and Machine Learning (view poster) (view PDF version).
  • Sarthak Chatterjee, Sérgio Pequito, On Learning Discrete-Time Fractional-Order Dynamical Systems, Proceedings of the 2022 American Control Conference (ACC), Atlanta, GA, USA, pp. 4335-4340 (virtual talk) (view PDF version).
  • Orlando Romero, Sarthak Chatterjee, Sérgio Pequito, Fractional-Order Model Predictive Control for Neurophysiological Cyber-Physical Systems: A Case Study using Transcranial Magnetic Stimulation, Proceedings of the 2020 (virtual) American Control Conference (ACC), Denver, CO, USA, pp. 4996-5001 (view PDF version).
  • Sarthak Chatterjee, Orlando Romero, Sérgio Pequito, A Separation Principle for Discrete-Time Fractional-Order Dynamical Systems and Its Implications to Closed-Loop Neurotechnology, presented at the 2019 IEEE Conference on Decision and Control (CDC), Nice, France.
  • Sarthak Chatterjee, Sérgio Pequito, Dealing with State Estimation in Fractional-Order Systems under Artifacts, Proceedings of the 2019 American Control Conference (ACC), Philadelphia, PA, USA, pp. 878-883 (view PDF version).
  • Orlando Romero, Sarthak Chatterjee, Sérgio Pequito, Convergence of the Expectation-Maximization Algorithm Through Discrete-Time Lyapunov Stability Theory​, Proceedings of the 2019 American Control Conference (ACC), Philadelphia, PA, USA, pp. 163-168 (view PDF version).
  • Sarthak Chatterjee, Wencen Wu, A Modular Approach to Level Curve Tracking Using Two Nonholonomic Mobile Robots, Proceedings of the ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Anaheim, CA, USA. DOI: 10.1115/DETC2019-97665 (view PDF version).
  • Sarthak Chatterjee, Wencen Wu, Cooperative Curve Tracking in Two Dimensions Without Explicit Estimation of the Field Gradient, Proceedings of the 2017 4th International Conference on Control, Decision, and Information Technologies (CoDIT), Barcelona, Spain, pp. 167-172. DOI: 10.1109/CoDIT.2017.8102585 (view PDF version).
  • Sudipto Mukherjee, Sarthak Chatterjee, Debdipta Goswami and Swagatam Das, Differential Evolution with Controlled Annihilation and Regeneration of Individuals and A Novel Mutation Scheme, 4th International Conference on Swarm, Evolutionary and Memetic Computing (SEMCCO), Chennai, India, December 19-21 2013, Springer LNCS Vol. 8297, 2013, pp. 286-297. DOI: 10.1007/978-3-319-03753-0_26 (view PDF version).

​Patents

  • Sérgio Pequito, Orlando Romero, Sarthak Chatterjee, Fractional-Order Model Predictive Control for Neurophysiological Cyber-Physical Systems, U.S. Patent Application Number 17/228,775 (view PDF version).

​Poster Presentations

  • Orlando Romero, Sarthak Chatterjee, From Dempster to Lyapunov: A Dynamical Systems Approach to EM Algorithm Convergence, presented at the inaugural Princeton Day of Optimization, organized by the Department of Operations Research and Financial Engineering (ORFE), Princeton University (view poster).