World's Best Scientists 2026 revealed!
Award Badge
Electronics and Electrical Engineering
USA
2026
Award Badge
Computer Science
USA
2025

D-Index & Metrics

Computer Science

D-Index
115
Citations
77886
World Ranking
184
National Ranking
108

Electronics and Electrical Engineering

D-Index
112
Citations
78456
World Ranking
91
National Ranking
45

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2018 - Fellow of the American Mathematical Society For contributions to information theory and related areas, and for applications.
  • 2012 - US President's National Medal of Science "For transformative contributions to the fields of information and system science, for distinctive and sustained mentoring of young scholars, and for translation of scientific ideas into entrepreneurial ventures that have had a significant impact on industry.", Award presented by President Barack Obama at a ceremony in the East Room of the White House on November 20, 2014.
  • 2009 - BBVA Foundation Frontiers of Knowledge Award
  • 2009 - Fellow of the Royal Society, United Kingdom
  • 2009 - SIAM Fellow For contributions to linear algebra, systems, and control and their applications in engineering.
  • 2007 - IEEE Medal of Honor For exceptional development of powerful algorithms in the fields of communications, computing, control and signal processing.”
  • 2006 - Jack S. Kilby Signal Processing Medal For seminal contributions to the theory and applications of statistical signal processing.
  • 2000 - IEEE Claude E. Shannon Award
  • 2000 - Member of the National Academy of Sciences
  • 1994 - Fellow of the American Academy of Arts and Sciences
  • 1991 - Fellow, The World Academy of Sciences
  • 1984 - Member of the National Academy of Engineering For outstanding contributions in prediction, filtering, and signal processing, and for leadership in engineering.
  • 1970 - IEEE Fellow For inspired teaching of and contributions to information, communication, and control theory
  • 1969 - Fellow of John Simon Guggenheim Memorial Foundation
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)

Overview

Thomas Kailath is affiliated with Stanford University in the United States. The scope of their research spans multiple areas closely related to information theory, system science, signal processing, and control theory. Kailath's academic footprint includes numerous prestigious recognitions and fellowships awarded over several decades.

Among the significant honors received are the US President's National Medal of Science in 2012, presented by President Barack Obama, which acknowledged transformative contributions to information and system science, mentoring of young scholars, and impactful entrepreneurial ventures.

Other distinctions include the IEEE Medal of Honor in 2007 for development of algorithms in communications, computing, control, and signal processing, the Jack S. Kilby Signal Processing Medal in 2006 for contributions to statistical signal processing theory and applications, and the IEEE Claude E. Shannon Award in 2000. Kailath has also been recognized as a Fellow by multiple organizations such as the American Mathematical Society, the Society for Industrial and Applied Mathematics (SIAM), the Royal Society of the United Kingdom, the American Academy of Arts and Sciences, the World Academy of Sciences, the Indian National Academy of Engineering, and the IEEE.

Their membership in prominent academies includes the National Academy of Sciences and the National Academy of Engineering, underscoring their influence in prediction, filtering, signal processing, and leadership within engineering fields.

The fellowships received date back to 1969 with the John Simon Guggenheim Memorial Foundation and include continuous recognition for contributions in teaching, research, and application across several areas associated with information, communication, and control theory.

  • Fellow of the American Mathematical Society (2018)
  • US President's National Medal of Science (2012)
  • SIAM Fellow (2009)
  • Fellow of the Royal Society, United Kingdom (2009)
  • BBVA Foundation Frontiers of Knowledge Award (2009)
  • IEEE Medal of Honor (2007)
  • Jack S. Kilby Signal Processing Medal (2006)
  • IEEE Claude E. Shannon Award (2000)
  • Member of the National Academy of Sciences (2000)
  • Fellow of the American Academy of Arts and Sciences (1994)
  • Fellow, The World Academy of Sciences (1991)
  • Member of the National Academy of Engineering (1984)
  • IEEE Fellow (1970)
  • Fellow of John Simon Guggenheim Memorial Foundation (1969)
  • Fellow of the Indian National Academy of Engineering (INAE)

Best Publications

  • Linear systems

    Thomas Kailath

  • ESPRIT-estimation of signal parameters via rotational invariance techniques

    R. Roy;T. Kailath

  • Detection of signals by information theoretic criteria

    M. Wax;T. Kailath

  • On spatial smoothing for direction-of-arrival estimation of coherent signals

    Tie-Jun Shan;M. Wax;T. Kailath

  • The Divergence and Bhattacharyya Distance Measures in Signal Selection

    T. Kailath

  • ESPRIT--A subspace rotation approach to estimation of parameters of cisoids in noise

    R. Roy;A. Paulraj;T. Kailath

  • Blind identification and equalization based on second-order statistics: a time domain approach

    Lang Tong;Guanghan Xu;T. Kailath

  • A generalized state-space for singular systems

    G. Verghese;B. Levy;T. Kailath

  • A least-squares approach to blind channel identification

    Guanghan Xu;Hui Liu;Lang Tong;T. Kailath

  • Fast, recursive-least-squares transversal filters for adaptive filtering

    J. Cioffi;T. Kailath

  • A view of three decades of linear filtering theory

    T. Kailath

  • An innovations approach to least-squares estimation--Part II: Linear smoothing in additive white noise

    T. Kailath;P. Frost

  • Spatio-temporal spectral analysis by eigenstructure methods

    M. Wax;Tie-Jun Shan;T. Kailath

  • A coding scheme for additive noise channels with feedback--I: No bandwidth constraint

    J. Schalkwijk;T. Kailath

  • Capacity improvement with base-station antenna arrays in cellular CDMA

    A.F. Naguib;A. Paulraj;T. Kailath

  • Detection and estimation in sensor arrays using weighted subspace fitting

    M. Viberg;B. Ottersten;T. Kailath

  • Adaptive beamforming for coherent signals and interference

    Tie-Jun Shan;T. Kailath

  • A new approach to blind identification and equalization of multipath channels

    L. Tong;G. Xu;T. Kailath

  • A performance analysis of subspace-based methods in the presence of model errors. I. The MUSIC algorithm

    A.L. Swindlehurst;T. Kailath

  • Increasing capacity in wireless broadcast systems using distributed transmission/directional reception (DTDR)

    Arogyaswami J. Paulraj;Thomas Kailath

Frequent Co-Authors

Babak Hassibi
Babak Hassibi California Institute of Technology
Ali H. Sayed
Ali H. Sayed École Polytechnique Fédérale de Lausanne
Arogyaswami Paulraj
Arogyaswami Paulraj Stanford University
Bjorn Ottersten
Bjorn Ottersten University of Luxembourg
Lennart Ljung
Lennart Ljung Linköping University
Alfred M. Bruckstein
Alfred M. Bruckstein Technion – Israel Institute of Technology
Mati Wax
Mati Wax Technion – Israel Institute of Technology
PooGyeon Park
PooGyeon Park Pohang University of Science and Technology
Mats Viberg
Mats Viberg Chalmers University of Technology
Benjamin Friedlander
Benjamin Friedlander University of California, Santa Cruz

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those interested in pursuing Electronics and Electrical Engineering in the USA, exploring related online degrees can open doors to diverse career opportunities. Many universities offer flexible programs, including options that appeal to military families. For instance, military spouse friendly online colleges provide tailored support and flexible scheduling to meet unique needs.

One advantage of online education is the ability to start courses almost immediately. Several institutions offer online colleges starting this month, enabling quick enrollment and timely progress toward degree or certification completion.

For those seeking faster entry into the workforce, short-term credentials can be highly beneficial. Programs highlighted as the best 6-month certificate programs that pay well provide practical skills in a compressed timeframe, offering a competitive edge for job seekers within technical fields.

Additionally, career options in Electronics and Electrical Engineering can suit various personality types. For example, many roles align well with introverted professionals, blending technical expertise with independent work. Explore some of the good paying jobs for introverts to find pathways compatible with your strengths and career goals.

Best Scientists Citing Thomas Kailath

Trending Scientists

Recently Published Articles