Simon Haykin

Last updated

Simon Haykin (born in 1931 as Sahir Sabir Hakim [1] [2] ) is an electrical engineer noted for his pioneering work in Adaptive Signal Processing with emphasis on applications to Radar Engineering and Telecom Technology. He is currently Distinguished University Professor at McMaster University in Hamilton, Ontario, Canada.

Contents

Education and career

Haykin received BSc (First-Class Honours) (1953); Ph.D. (1956), and DSc. (1967), degrees-all in Electrical Engineering from University of Birmingham, UK (England). He is a Fellow of the Royal Society of Canada, and a Fellow of the Institute of Electrical and Electronics Engineers for contributions to signal processing, communications theory, and electrical engineering education. [3] In 2002 he became a recipient of Henry Booker Gold Medal from URSI and in 1999 received Hon. Degree of Doctor of Technical Science from ETH Zurich, Switzerland, and many other medals and prizes.

In mid-1980s, Haykin shifted the thrust of his research effort in the direction of neural computation, which was re-emerging at that time and intrinsically resembled Adaptive Signal Processing. All along, he had a vision of revisiting fields of radar engineering and telecom technology from a brand new perspective. That vision became a reality in early years of this century with publication of two seminal journal papers:

“Cognitive Radio: Brain-empowered Wireless communications”, which appeared in IEEE J. Selected Areas in Communications, Feb. 2005.

“Cognitive Radar: A Way of the Future”, which appeared in the IEEE J. Signal Processing, Feb. 2006.

Cognitive Radio and Cognitive Radar are two important parts of a much wider and integrative field: Cognitive Dynamic Systems, research into which has become his passion.

Honours and awards

Books

S. Haykin, Adaptive Filter Theory, 5th Edition, Prentice Hall, 2013.

S. Haykin, Neural Networks and Learning Machines (3rd Edition), Prentice Hall, 2009

S. Haykin and M. Reed, Statistical Communication Theory, Wiley.

S. Haykin and M. Moher, Introduction to Analog and Digital Communications, Second Edition, Wiley.

S. Haykin and M. Moher, Modern Wireless Communications: Prentice-Hall 2004.

S. Haykin and B. Van Veen, Signals and Systems, Second Edition, Wiley, 2003.

S. Haykin and B. Widrow, (eds.), Least Mean-Square Filters: New insights and developments, Wiley-Interscience, 2002.

S. Haykin, Adaptive Filter Theory, 4th Edition, Prentice Hall, 2002.

S. Haykin and B. Kosko (ed.), Intelligent Signal Processing, IEEE Press, 2001

P. Yee and S. Haykin, Regularized Radial Basis Function Networks, Wiley, 2001

S. Haykin, Communication Systems, Fourth Edition, Wiley, 2001.

S. Haykin (ed.), Unsupervised Adaptive Filtering, Vol. I and II, Wiley, 2000

S. Haykin and S.Puthusserypady, Chaotic Dynamics of Sea Clutter, Wiley, 1999.

S. Haykin, Neural Networks: A Comprehensive Foundation, 2nd Edition, Prentice-Hall, 1999.

S. Haykin and B. Van Veen, “Signals and Systems”, Wiley, 1998

S. Haykin, “Adaptive Filter Theory”, 3rd Edition, Prentice-Hall, 1996.

S. Haykin (editor), Advances in Spectrum Analysis and Array Processing, Vol. III, Prentice-Hall, 1994.

S. Haykin, “Communications Systems”, Third Edition, Wiley, 1994.

S. Haykin, E. Lewis, K. Raney, and J. Rossiter, editors, “Remote Sensing of Sea Ice”, Wiley-Interscience, 1994.

S. Haykin (editor), “Blind Deconvolution”, Prentice-Hall, 1994.

S. Haykin and A. Steinhardt, “Radar Detection and Estimation”, Wiley, 1992.

S. Haykin, J. Litva, and T. Shepherd (editors), “Radar Array Processing”, Springer-Verlag, 1992.

S. Haykin, “Adaptive Filter Theory”, Second Edition, Prentice Hall, 1991.

S. Haykin (editor), “Advances in Spectrum Estimation and Array Processing”. Volumes I and II, Prentice-Hall, 1991.

S. Haykin, “An Introduction to Analog and Digital Communications”, Wiley, 1989.

S. Haykin, “Modern Filters”, Macmillan, 1989.

S. Haykin, “Digital Communications”, Wiley, 1988.

S. Haykin (editor), “Selected Topics in Signal Processing”, Prentice-Hall, 1988.

E. Lewis, B. Currie and S. Haykin, “Surface-based Radar Detection and Classification of Sea Ice”, Research Studies Press Ltd. (United Kingdom), 1987.

S. Haykin, “Adaptive Filter Theory”, Prentice-Hall, 1986.

S. Haykin, “Array Signal Processing”, Prentice-Hall, 1984.

S. Haykin, “Communications Systems”, Second Edition, Wiley, 1983.

S. Haykin (editor), “Nonlinear Methods of Spectral Analysis”, Second Edition, Springer-Verlag, 1983.

S. Haykin (editor), “Array Processing: Applications to Radar”, Dowden, Hutchison and Ross, 1980.

S. Haykin (editor), “Detection and Estimation: Applications to Radar”, Dowden, Hutchison and Ross, 1979.

S. Haykin, “Nonlinear Methods of Spectral Analysis:, Springer-Verlag, 1979.

S. Haykin, “Communications Signals and Systems”, Wiley, 1978.

Related Research Articles

Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations. The digital signals processed in this manner are a sequence of numbers that represent samples of a continuous variable in a domain such as time, space, or frequency. In digital electronics, a digital signal is represented as a pulse train, which is typically generated by the switching of a transistor.

<span class="mw-page-title-main">Signal processing</span> Field of electrical engineering

Signal processing is an electrical engineering subfield that focuses on analyzing, modifying and synthesizing signals, such as sound, images, potential fields, seismic signals, altimetry processing, and scientific measurements. Signal processing techniques are used to optimize transmissions, digital storage efficiency, correcting distorted signals, subjective video quality, and to also detect or pinpoint components of interest in a measured signal.

<span class="mw-page-title-main">Array processing</span> Area of research in signal processing

Array processing is a wide area of research in the field of signal processing that extends from the simplest form of 1 dimensional line arrays to 2 and 3 dimensional array geometries. Array structure can be defined as a set of sensors that are spatially separated, e.g. radio antenna and seismic arrays. The sensors used for a specific problem may vary widely, for example microphones, accelerometers and telescopes. However, many similarities exist, the most fundamental of which may be an assumption of wave propagation. Wave propagation means there is a systemic relationship between the signal received on spatially separated sensors. By creating a physical model of the wave propagation, or in machine learning applications a training data set, the relationships between the signals received on spatially separated sensors can be leveraged for many applications.

Thomas Kailath is an Indian born American electrical engineer, information theorist, control engineer, entrepreneur and the Hitachi America Professor of Engineering emeritus at Stanford University. Professor Kailath has authored several books, including the well-known book Linear Systems, which ranks as one of the most referenced books in the field of linear systems.

<span class="mw-page-title-main">Bernard Widrow</span>

Bernard Widrow is a U.S. professor of electrical engineering at Stanford University. He is the co-inventor of the Widrow–Hoff least mean squares filter (LMS) adaptive algorithm with his then doctoral student Ted Hoff. The LMS algorithm led to the ADALINE and MADALINE artificial neural networks and to the backpropagation technique. He made other fundamental contributions to the development of signal processing in the fields of geophysics, adaptive antennas, and adaptive filtering. A summary of his work is.

<span class="mw-page-title-main">Space-time adaptive processing</span> Signal processing technique used in radar

Space-time adaptive processing (STAP) is a signal processing technique most commonly used in radar systems. It involves adaptive array processing algorithms to aid in target detection. Radar signal processing benefits from STAP in areas where interference is a problem. Through careful application of STAP, it is possible to achieve order-of-magnitude sensitivity improvements in target detection.

Ali H. Sayed is the dean of engineering at EPFL, where he teaches and conducts research on Adaptation, Learning, Statistical Signal Processing, and Signal Processing for Communications. He is the Director of the EPFL Adaptive Systems Laboratory. He has authored several books on estimation and filtering theories, including the textbook Adaptive Filters, published by Wiley & Sons in 2008. Professor Sayed received the degrees of Engineer and Master of Science in Electrical Engineering from the University of Sao Paulo, Brazil, in 1987 and 1989, respectively, and the Doctor of Philosophy degree in electrical engineering from Stanford University in 1992.

Lee Swindlehurst is an electrical engineer who has made contributions in sensor array signal processing for radar and wireless communications, detection and estimation theory, and system identification, and has received many awards in these areas. He is currently a Professor of Electrical Engineering and Computer Science at the University of California at Irvine.

<span class="mw-page-title-main">John Cioffi</span> American engineer

John Mathew Cioffi is an American electrical engineer, educator and inventor who has made contributions in telecommunication system theory, specifically in coding theory and information theory. Best known as "the father of DSL," Cioffi's pioneering research was instrumental in making digital subscriber line (DSL) technology practical and has led to over 400 publications and more than 100 pending or issued patents, many of which are licensed.

Graham Clifford Goodwin is an Australian Laureate Professor of Electrical Engineering at the University of Newcastle, Australia.

<span class="mw-page-title-main">Peter Stoica</span> Swedish academic

Peter (Petre) Stoica is a researcher and educator in the field of signal processing and its applications to radar/sonar, communications and bio-medicine. He is a professor of Signals and Systems Modeling at Uppsala University in Sweden, and a Member of the Royal Swedish Academy of Engineering Sciences, the United States National Academy of Engineering (International Member), the Romanian Academy, the European Academy of Sciences, and the Royal Society of Sciences. He is also a Fellow of IEEE, EURASIP, IETI, and the Royal Statistical Society.

<span class="mw-page-title-main">Vincent Poor</span>

Harold Vincent Poor FRS FREng is the Michael Henry Strater University Professor of Electrical Engineering at Princeton University, where he is also the Interim Dean of the School of Engineering and Applied Science. He is a specialist in wireless telecommunications, signal processing and information theory. He has received many honorary degrees and election to national academies. He was also President of IEEE Information Theory Society (1990). He is on the board of directors of the IEEE Foundation.

<span class="mw-page-title-main">Georgios B. Giannakis</span> American computer scientist (born 1958)

Georgios B. Giannakis is a Greek-American Computer Scientist, engineer and inventor. He has been an Endowed Chair Professor of Wireless Telecommunications, he was Director of the Digital Technology Center, and at present he is a McKnight Presidential Chair with the Department of Electrical and Computer Engineering at the University of Minnesota.

<span class="mw-page-title-main">Harry L. Van Trees</span>

Harry Leslie Van Trees was an American scientist specializing in radar, sonar, communications and signal processing.

Palghat P. Vaidyanathan is the Kiyo and Eiko Tomiyasu Professor of Electrical Engineering at the California Institute of Technology, Pasadena, California, USA, where he teaches and leads research in the area of signal processing, especially digital signal processing (DSP), and its applications. He has authored four books, and authored or coauthored close to six hundred papers in various IEEE journals and conferences. Prof. Vaidyanathan received his B.Tech. and M.Tech. degrees from the Institute of Radiophysics and Electronics, Science College campus of University of Kolkata, and a Ph.D. degree in Electrical Engineering from University of California Santa Barbara in 1982.

<span class="mw-page-title-main">Kung Yao</span>

Kung Yao is a Distinguished Professor Emeritus in the Electrical Engineering Department of UCLA known for his contributions in Communication Theory, Signal and array processing, and Systolic algorithms...

<span class="mw-page-title-main">Shannon Blunt</span> American radar engineer

Shannon D. Blunt is an American radar engineer and the Roy A. Roberts Distinguished Professor of Electrical Engineering & Computer Science at the University of Kansas (KU) in Lawrence, KS. He is Director of the KU Radar Systems & Remote Sensing Lab (RSL) and the Kansas Applied Research Lab (KARL).

<span class="mw-page-title-main">Moeness Amin</span> Egyptian-American professor and engineer

Moeness G. Amin is an Egyptian-American professor and engineer. Amin is the director of the Center for Advanced Communications and a professor in the Department of Electrical and Computer Engineering at Villanova University.

<span class="mw-page-title-main">Daniel W. Bliss</span> American physicist

Daniel W. Bliss is an American professor, engineer, and physicist. He is a Fellow of the IEEE and was awarded the IEEE Warren D. White award for outstanding technical advances in the art of radar engineering in 2021 for his contributions to MIMO radar, Multiple-Function Sensing and Communications Systems, and Novel Small-Scale Radar Applications. He is a professor in the School of Electrical, Computer and Energy Engineering at Arizona State University. He is also the director of the Center for Wireless Information Systems and Computational Architecture (WISCA).

Joseph Tabrikian is an Israeli professor in the School of Electrical and Computer Engineering at Ben-Gurion University of the Negev. He is the founder and former head of the School. He is a fellow of IEEE “For contributions to estimation theory and Multiple-Input Multiple-Output radars.”

References

  1. "Optical techniques applied to the investigation of certain aspects of electric breakdown in liquids / by Sahir Sabir Hakim". University of Birmingham.
  2. "A biographical sketch of Michael A.G. Haykin". Hesed & Emet Publishing.
  3. "IEEE Fellows 1982 | IEEE Communications Society".
  4. Royal Society of Canada entry Archived 2012-02-24 at the Wayback Machine
  5. "Seminarios SSR". Archived from the original on 2009-12-23. Retrieved 2010-02-10.
  6. "Information for journalists".
  7. "2016 IEEE Medals and Recognitions Recipients and Citations" (PDF). IEEE . Retrieved 2016-07-07.