Swarnendu Mandal - Research

Swarnendu Mandal

Research Experience

Sep 2023 – Present. Project Researcher

IRCN, The University of Tokyo

Project: Aihara Moonshot Project

Project Manager: Prof. Kazuyuki Aihara

May 2022 – Aug 2023. Junior Research Fellow

Central University of Rajasthan

Project: Reservoir Computing with Dynamical Systems

Principal Investigator: Prof. Manish Dev Shrimali

Aug. 2019 – May 2022. Junior Research Fellow

Central University of Rajasthan

Project: Multistability and Hidden Attractor in Dynamical Systems

Principal Investigator: Prof. Manish Dev Shrimali

Publications

Mandal, S., Aihara, K. (2025) Revisiting multifunctionality in reservoir computing. arXiv: 2504.12621

Mandal, S., Chauhan, S., et al. (2025) Adaptive control in dynamical systems using reservoir computing. arXiv: 2412.17501

Tripathi, J.P., Tripathi, D., Mandal, S., Shrimali, M.D., (2023) Cannibalistic enemy-pest model: effect of additional food and harvesting. Journal of Mathematical Biology, 87(4), p.58.

Mandal, S., Shrimali, M. D., (2023) Learning unidirectional coupling using an echo-state network. Physical Review E, 107(6), p.064205.

Chauhan, S., Mandal, S., et al., (2023) Machine learning based prediction of phase ordering dynamics. Chaos, 33(6), p.061103.

Roy, M., Mandal, S., et al., (2022) Model-free prediction of multistability using echo state network. Chaos, 32(10), p.101104.

Mandal, S., Sinha, S., Shrimali, M. D., (2022) Machine-learning potential of a single pendulum. Physical Review E, 105(5), p.054203.

Mandal, S., Shrimali, M. D.,(2021) Achieving criticality for reservoir computing using environment-induced explosive death. Chaos, 31(3), p.031101.

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