World's Best Scientists 2026 revealed!

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Engineering and Technology

D-Index
51
Citations
11994
World Ranking
3794
National Ranking
1113

Research.com Recognitions

  • 2017 - Fellow, National Academy of Inventors
  • 2004 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2003 - Fellow of American Physical Society (APS) Citation For achievements in experimental nonlinear dynamics, especially as applied to biological systems such as the heart and the brain

Overview

William L. Ditto is affiliated with North Carolina State University in the United States. Their research spans the fields of Computer Science and Physics and Astronomy, with a particular focus on Artificial Intelligence and Statistical and Nonlinear Physics as primary subfields. They also engage in Modeling and Simulation, Cognitive Neuroscience, and Molecular Biology.

The scientist's work covers various main topics, including:

  • Neural Networks and Applications
  • Model Reduction and Neural Networks
  • Neural Networks and Reservoir Computing
  • Computational Physics and Python Applications
  • Stochastic dynamics and bifurcation
  • COVID-19 epidemiological studies
  • Evolutionary Algorithms and Applications

Among their recent papers are:

  • Modeling and forecasting of epidemic spreading: The case of Covid-19 and beyond, 2020, Chaos Solitons & Fractals
  • 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
  • Nonlinear dynamics based machine learning: Utilizing dynamics-based flexibility of nonlinear circuits to implement different functions, 2020, PLoS ONE
  • The scaling of physics-informed machine learning with data and dimensions, 2020, Chaos Solitons & Fractals X

Frequent publication venues include:

  • arXiv (Cornell University)
  • Chaos Solitons & Fractals
  • Physical review. E
  • Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
  • PLoS ONE

Frequent coauthors throughout their career are:

  • Sudeshna Sinha
  • John F. Lindner
  • Anshul Choudhary
  • Scott T. Miller
  • Anil Radhakrishnan

William L. Ditto has been recognized with multiple fellowships, including:

  • Fellow, National Academy of Inventors, 2017
  • Fellow of the Indian National Academy of Engineering (INAE), 2004
  • Fellow of American Physical Society (APS), 2003, cited for achievements in experimental nonlinear dynamics, especially as applied to biological systems such as the heart and the brain

Best Publications

  • Controlling Cardiac Chaos

    Alan Garfinkel;Mark L. Spano;William L. Ditto;James N. Weiss

  • Controlling chaos in the brain

    Steven J. Schiff;Kristin Jerger;Duc H. Duong;Taeun Chang

  • Experimental control of chaos.

    W. L. Ditto;S. N. Rauseo;M. L. Spano

  • Spatiotemporal evolution of ventricular fibrillation

    Francis X. Witkowski;L. Joshua Leon;Patricia A. Penkoske;Wayne R. Giles

  • Array enhanced stochastic resonance and spatiotemporal synchronization.

    John F. Lindner;Brian K. Meadows;William L. Ditto;Mario E. Inchiosa

  • Stochastic Resonance in a Neuronal Network from Mammalian Brain

    Bruce J. Gluckman;Theoden I. Netoff;Emily J. Neel;William L. Ditto

  • Taming spatiotemporal chaos with disorder

    Y. Braiman;Y. Braiman;John F. Lindner;John F. Lindner;William L. Ditto

  • Experimental observation of a strange nonchaotic attractor.

    WL Ditto;ML Spano;HT Savage;SN Rauseo

  • 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

  • Electric field suppression of epileptiform activity in hippocampal slices

    Bruce J. Gluckman;Emily J. Neel;Theoden I. Netoff;William L. Ditto

  • Using the sensitive dependence of chaos (the "butterfly effect") to direct trajectories in an experimental chaotic system.

    Troy Shinbrot;Troy Shinbrot;Troy Shinbrot;William Ditto;William Ditto;William Ditto;Celso Grebogi;Celso Grebogi;Celso Grebogi;Edward Ott;Edward Ott;Edward Ott

  • A noise-assisted reprogrammable nanomechanical logic gate.

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

  • Principles and applications of chaotic systems

    William Ditto;Toshinori Munakata

  • Scaling laws for spatiotemporal synchronization and array enhanced stochastic resonance.

    John F. Lindner;Brian K. Meadows;William L. Ditto;Mario E. Inchiosa

  • Noise Enhanced Propagation

    John F. Lindner;Sridhar Chandramouli;Adi R. Bulsara;Markus Löcher

  • Computing with distributed chaos.

    Sudeshna Sinha;William L. Ditto

  • Controlling Stochastic Resonance

    Luca Gammaitoni;Markus Löcher;Adi Bulsara;Peter Hänggi

  • Experimental observation of crisis-induced intermittency and its critical exponent.

    W. L. Ditto;S. Rauseo;R. Cawley;C. Grebogi

  • Techniques for the control of chaos

    William L. Ditto;Mark L. Spano;John F. Lindner

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

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

Frequent Co-Authors

Sudeshna Sinha
Sudeshna Sinha Indian Institute of Science Education and Research Mohali
Paul R. Carney
Paul R. Carney University of Missouri
Adi R. Bulsara
Adi R. Bulsara Naval Information Warfare Center Pacific
Krishnamurthy Murali
Krishnamurthy Murali Anna University, Chennai
Edward Ott
Edward Ott University of Maryland, College Park
Celso Grebogi
Celso Grebogi University of Aberdeen
James N. Weiss
James N. Weiss University of California, Los Angeles
Steven J. Schiff
Steven J. Schiff Yale University
Stephen P. DeWeerth
Stephen P. DeWeerth Lehigh University
Mingzhou Ding
Mingzhou Ding University of Florida

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