Martin Vetterli
Professor Martin Vetterli
President of the École Polytechnique Fédérale de Lausanne (EPFL)
Born (1957-10-04) 4 October 1957
Alma materETH Zurich
Stanford University
Known forWavelets
President of the École polytechnique fédérale de Lausanne (from 2017)
Scientific career
FieldsMathematical signal processing
InstitutionsÉcole polytechnique fédérale de Lausanne
Doctoral advisorHenri J. Nussbaumer
Doctoral studentsMinh Do
Jelena Kovacevic
Vivek Goyal
Hyung Ju Park
Websitehttps://direction.epfl.ch/president

Martin Vetterli is the current president of École polytechnique fédérale de Lausanne (EPFL) in Switzerland, succeeding Patrick Aebischer.[1] He's a professor of engineering and was formerly the president of the National Research Council of the Swiss National Science Foundation.[2]

Martin Vetterli has made numerous research contributions in the general area of digital signal processing and is best known for his work on wavelets. He has also contributed to other areas, including sampling (signal processing), computational complexity theory, signal processing for communications, digital video processing and joint source/channel coding. His work has led to over 150 journal publications and to two dozen of patents.

Career

Martin Vetterli received his electrical engineering degree from ETH Zurich in 1981, and then completed a Master of Science degree in electrical engineering at Stanford University in 1982. He later pursued his PhD at EPFL in 1986.

After his dissertation, he was an assistant and associate professor in electrical engineering at Columbia University in New York, and in 1993, he became an associate and then full professor at the Department of Electrical Engineering and Computer Sciences at the University of California at Berkeley in California.

In 1995, he joined EPFL as a full-time professor. He held several positions there, including chair of communication systems and founding director of the National Competence Center in Research on Mobile Information and Communication systems (NCCR-MICS).

From 2004 to 2011, he was vice president of EPFL for international affairs and, from 2011 to 2012, he was the dean of the School of Computer and Communications Sciences at EPFL.

In 2015, he was elected to the United States National Academy of Engineering for his contributions to the development of time-frequency representations and algorithms in multimedia signal processing and communications.[3]

From 2013 to 2016 he was the president of the National Research Council of the Swiss National Science Foundation, before being elected as the president of EPFL in Switzerland.[4]

He is also responsible for developing, publishing and maintaining an extensive massive open online course on the basics of digital signal processing. The course is a collaboration effort between him and his colleague, Paolo Prandoni. The course was first offered in February 2013 on Coursera and has been offered every year on the site since then. Each session runs for 10 weeks.[5][6]

Scientific contributions

Martin Vetterli works in the areas of electrical engineering, computer science and applied mathematics. His work covers wavelets and applications, image and video compression (data compression), self-organized communications systems and sensor networks, as well as fast algorithms.[7]

At the core of his laboratory's current research is mathematical signal processing, that is, the set of tools and algorithms from applied harmonic analysis that are central to signal processing. These include representations for signals (Fourier, wavelets, frames), sampling theory, and sparse representations.

A main application of signal processing is in communications and sensor networks. In addition to important classic topics like channel estimation and equalization, multiuser systems like sensor networks are of great interest. This leads to distributed compression, sampling, and modeling of physical phenomena.

The area of audio processing and digital acoustics deals with multi-channel acquisition, processing and rendering of audio signals. This includes questions of sound field sampling, synthesis and perception.

Inverse problems and tomography are key signal processing tasks where state of the art techniques have high potential impact. In particular, the project on ultrasound tomography intends to solve a long-standing quest for a safe and affordable breast cancer screening method.

In the area of image/video processing and applications, his research has on-going projects in image acquisition, image representations, and super-resolution imaging. Applications include image annotation and augmented reality for mobile devices.

The eFacsimile research project, sponsored by Google, is focused on the research and development of a new acquisition, representation and rendering paradigm for the high-quality reproduction of artwork.

The research of Martin Vetterli has led to about 150 journal papers and resulted also in about two dozen patents that led to technology transfers to high-tech companies and the creation of several start-ups.[8]

Martin Vetterli is a co-author of the book Wavelets and Subband Coding (Prentice-Hall, 1995).[9] In 2008, Vetterli authored with Paolo Prandoni a free textbook Signal Processing for Communications.[10]

In 2014, another book with the title Foundations of Signal Processing (coauthored by Jelena Kovačević and Vivek Goyal) was also published freely accessible.[11]

Presidency of the EPFL

On 1 January 2017, Martin Vetterli became the EPFL's fifth president. The priorities of his direction team include open science, computational thinking and sustainability.[12]

Awards and honours

References

  1. ↑ "Federal Council appoints Martin Vetterli President of EPFL", press release of the Swiss government, 24 February 2016.
  2. ↑ "SNSF Press release".
  3. ↑ "NAE".
  4. ↑ "Swiss National Science Foundation".
  5. ↑ "Digital Signal Processing". Class-Central.com.
  6. ↑ "Digital Signal Processing". Coursera.org.
  7. ↑ "Research Laboratory of Prof. Martin Vetterli".
  8. ↑ "Technology transfer". Archived from the original on 2 February 2014. Retrieved 13 February 2014.
  9. ↑ Martin Vetterli and Jelena Kovacevic (1995). Wavelets and Subband Coding. ISBN 0130970808.
  10. ↑ Paolo Prandoni and Martin Vetterli (2008). Signal Processing for Communications. Presses polytechniques et universitaires romandes.
  11. ↑ Martin Vetterli, Jelena Kovacevic and Vivek Goyal (2014). Foundations of Signal Processing.
  12. ↑ David Trotta, « L’éthique est un élément des plus importants pour notre société », L'uniscope, campus magazine of the University of Lausanne, number 622, March 2017, pages 16-17.
  13. ↑ "Fellow Class of 1995". IEEE Fellows.
  14. ↑ "National Latsis Price". Archived from the original on 23 February 2014.
  15. ↑ "About ACM Fellows".
  16. ↑ "SWIR".
  17. ↑ "SNSF Press release".
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