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D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
5326
World Ranking
7094
National Ranking
130

Research.com Recognitions

  • 1998 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Sudeshna Sinha is affiliated with the Indian Institute of Science Education and Research Mohali in India. Their research spans multiple topics within computer science and physics, with a strong emphasis on nonlinear dynamics, machine learning, and neural networks.

The main fields of study for Sudeshna Sinha include:

  • Computer Science
  • Physics and Astronomy

Their work covers a range of subfields such as:

  • Artificial Intelligence
  • Statistical and Nonlinear Physics
  • Computer Networks and Communications
  • Cognitive Neuroscience
  • Global and Planetary Change

Sudeshna Sinha's research topics highlight specific areas of interest, including:

  • Nonlinear Dynamics and Pattern Formation
  • Stochastic dynamics and bifurcation
  • Neural Networks and Applications
  • Neural dynamics and brain function
  • Neural Networks and Reservoir Computing
  • Ecosystem dynamics and resilience
  • Chaos control and synchronization

Their recent papers illustrate a focus on the intersection of physics and machine learning as well as nonlinear systems. Notable recent publications include:

  • "Physics-enhanced neural networks learn order and chaos," 2020, Physical review. E
  • "Construction of logic gates exploiting resonance phenomena in nonlinear systems," 2021, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
  • "Machine-learning potential of a single pendulum," 2022, Physical review. E
  • "The scaling of physics-informed machine learning with data and dimensions," 2020, Chaos Solitons & Fractals X
  • "Impact of coupling on neuronal extreme events: Mitigation and enhancement," 2023, Chaos An Interdisciplinary Journal of Nonlinear Science

Common venues where Sudeshna Sinha publishes include:

  • arXiv (Cornell University)
  • Physical review. E
  • Chaos An Interdisciplinary Journal of Nonlinear Science
  • Chaos Solitons & Fractals
  • Scientific Reports

Frequent collaborators in their research are:

  • William L. Ditto
  • John F. Lindner
  • Anshul Choudhary
  • Scott T. Miller
  • K. Murali

Among recognized honors, Sudeshna Sinha was named a Fellow of the American Association for the Advancement of Science (AAAS) in 1998.

Best Publications

  • DYNAMICS BASED COMPUTATION

    Sudeshna Sinha;William L. Ditto

  • Reliable logic circuit elements that exploit nonlinearity in the presence of a noise floor

    K. Murali;K. Murali;Sudeshna Sinha;William L. Ditto;Adi R. Bulsara

  • Adaptive control in nonlinear dynamics

    S. Sinha;R. Ramaswamy;J. Subba Rao

  • A noise-assisted reprogrammable nanomechanical logic gate.

    Diego N. Guerra;Adi R. Bulsara;William L. Ditto;Sudeshna Sinha

  • Computing with distributed chaos.

    Sudeshna Sinha;William L. Ditto

  • Chaos computing: implementation of fundamental logical gates by chaotic elements

    T. Munakata;S. Sinha;W.L. Ditto

  • Generating multi-scroll chaotic attractors by thresholding

    Jinhu Lü;K. Murali;Sudeshna Sinha;Henry Leung

  • Introduction to Focus Issue: Intrinsic and Designed Computation: Information Processing in Dynamical Systems—Beyond the Digital Hegemony

    James P. Crutchfield;William L. Ditto;Sudeshna Sinha

  • Synchronization in time-varying networks.

    Vivek Kohar;Vivek Kohar;Peng Ji;Peng Ji;Anshul Choudhary;Sudeshna Sinha

  • Implementation of NOR Gate by a Chaotic Chua's Circuit

    Krishnamurthy Murali;Sudeshna Sinha;William L. Ditto

  • Random coupling of chaotic maps leads to spatiotemporal synchronization.

    Sudeshna Sinha

  • Realization of reliable and flexible logic gates using noisy nonlinear circuits

    K. Murali;I. Rajamohamed;Sudeshna Sinha;William L. Ditto

  • Time-varying multiplex network: Intralayer and interlayer synchronization.

    Sarbendu Rakshit;Soumen Majhi;Bidesh K. Bera;Sudeshna Sinha

  • Multiple-node basin stability in complex dynamical networks.

    Chiranjit Mitra;Chiranjit Mitra;Anshul Choudhary;Sudeshna Sinha;Juergen Kurths

  • Logical stochastic resonance

    Adi R. Bulsara;Anna Dari;William L. Ditto;K. Murali

  • Chaogates: morphing logic gates that exploit dynamical patterns.

    William L. Ditto;A. Miliotis;K. Murali;Sudeshna Sinha

  • Physics-enhanced neural networks learn order and chaos

    Anshul Choudhary;John F. Lindner;John F. Lindner;Elliott G. Holliday;Scott T. Miller

  • Evidence of universality for the May-Wigner stability theorem for random networks with local dynamics

    Sitabhra Sinha;Sudeshna Sinha

  • Adaptive dynamics on a chaotic lattice.

    Sudeshna Sinha;Debabrata Biswas

  • Unidirectional adaptive dynamics

    Sudeshna Sinha

  • Enhancement of "logical" responses by noise in a bistable optical system.

    Kamal P. Singh;Sudeshna Sinha

  • Exploiting the effect of noise on a chemical system to obtain logic gates

    Sudeshna Sinha;J. M. Cruz;T. Buhse;P. Parmananda;P. Parmananda

Frequent Co-Authors

William L. Ditto
William L. Ditto North Carolina State University
Krishnamurthy Murali
Krishnamurthy Murali Anna University, Chennai
Kazuyuki Aihara
Kazuyuki Aihara University of Tokyo
Adi R. Bulsara
Adi R. Bulsara Naval Information Warfare Center Pacific
Dibakar Ghosh
Dibakar Ghosh Indian Statistical Institute
Jinhu Lu
Jinhu Lu Beihang University
M. Lakshmanan
M. Lakshmanan Bharathidasan University
Jürgen Kurths
Jürgen Kurths Potsdam Institute for Climate Impact Research
James P. Crutchfield
James P. Crutchfield University of California, Davis

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