Faculty Directory

Ott, Edward

Ott, Edward

Distinguished University Professor
Professor Emeritus
Electrical and Computer Engineering
Institute for Research in Electronics & Applied Physics
3329 AV Williams


  • M.S. and Ph.D., Electrophysics, Polytechnic Institute or Brooklyn, 1964 and 1967
  • B.S., Electrical Engineering, Cooper Union


Edward Ott is a Distinguished University Professor in the Department of Electrical and Computer Engineering and the Department of Physics. He received a B.S. degree in electrical engineering from The Cooper Union in 1963, and M.S. and Ph.D. degrees in electrophysics from The Polytechnic Institute of Brooklyn in 1964 and 1967. He was an NSF Postdoctoral Fellow at Cambridge University from 1967-1968. In 1968 he joined the faculty of Electrical Engineering at Cornell University and took up his current position at the University of Maryland in 1979. Dr. Ott has also held visiting appointments at the Naval Research Laboratory and the Institute for Theoretical Physics at UCSB.


  • Member, National Academy of Sciences (2022)
  • Foreign Member of the Academia Europaea (2020)
  • Richardson Medal, European Geosciences Union (2017)
  • Jürgen Moser Award, Society of Industrial and Applied Mathematics (2017)
  • Thomson Reuters Citation Laureate (2016)
  • Clark School of Engineering Outstanding Faculty Research Award (2005)
  • Celebrating Teachers Award (2000)
  • Distinguished University Professor (1995)
  • Fellow of the Institute of Electrical and Electronics Engineers
  • Fellow of the American Physical Society
  • Fellow of the Society for Industrial and Applied Mathematics (SIAM)
  • Institute for Scientific Information World's 100 Most Cited Physicists
  • Fellow of the World Innovation Foundation
  • Former Editor, Physica D
  • Former Associate Editor, Physical Review Letters
  • Former Associate Editor, Physics of Fluids
  • Former member of the Editorial Board, Physical Review A
  • Former member of the Editorial Board, Chaos
  • Former member of the Editorial Board, Dynamics and Stability of Systems
  • Editorial Board, Central European Journal of Physics

Orcid: 0000-0002-9395-5062, Google Scholar

  • Basic theory and applications of nonlinear dynamics
  • Wave chaos
  • Control of chaos
  • Fractal basin boundaries
  • Dynamics of large interconnected networks
  • Chaotic dynamics of fluids
  • Models of brain dynamics and learning
  • Weather prediction


Dr. Ott is an author of over 400 papers published in scientific journals and is the author of the book "Chaos in Dynamical Systems" (Cambridge University Press), an introduction to concepts in chaotic dynamics for scientists and students.   He is an editor of the book "Coping with Chaos,"  a collection of reprints that focuses on how scientists observe, quantify, and control chaos. He has been listed by the Institute for Scientific Information as one of the world's most highly cited physicists.

Introducing the Early Career Distinguished Alumni Society

The ECDA Society launches an exclusive professional network of Maryland Engineering alums leading the next generation of innovators, entrepreneurs, and change agents.

Ott Elected to National Academy of Sciences

Ott recognized for seminal contributions in nonlinear dynamics and foundational work in chaos theory.

UMD Researchers Create On-Demand Cold Spots to Generate Electromagnetic Cone of Silence

In this work, the researchers describe the use of a binary programmable metasurface.

Professor Ott Elected as Foreign Member of the Academia Europaea

Founded in 1988, Academia Europaea is the pan-European academy of science, humanities and letters.

Brain and Behavior Initiative Hosts 3rd Annual Seed Grant Symposium

Researchers from across UMD convene to discuss the latest projects funded by BBI

BBI Announces FY19 Seed Grant Awards

Awarded proposals feature researchers from seven colleges and schools as well as three centers and institutes

Ott Gives Invited Talks on Machine Learning at the Imperial College London and the Alan Turing Institute

Prof. Ott discussed "Machine Learning for Forecasting Chaos" and “Machine Learning Analysis of Chaotic Dynamics and Vice Versa.”

International Workshop on Cyber Deception and Defense addresses threats and countermeasures

The workshop was sponsored by the Army Research Office, the Clark School, ECE and ISR.

Wired Magazine Features Ott and Collaborators’ work on Machine Learning to Predict Chaos 

Machine learning, and more specifically reservoir computing, offers an effective potential means for model-free prediction of large spatiotemporally chaotic systems. 

Interview with Edward Ott in SIAM News

Ott discusses being awarded the Jürgen Moser Lecture Prize in 2017.

Institute of Electrical and Electronics Engineers (IEEE)

American Physical Society (APS)