Michael Gastpar

Jump to other IT Society Websites:
Michael Gastpar portrait

Michael Gastpar

Email: michael.gastpar-AT-epfl.ch

Home page: http://linx.epfl.ch

Contact Information

Ecole Polytechnique Fédérale (EPFL)
EPFL-IC-ISC-LINX, BC 106, Station 14, CH-1015 Lausanne
+41 21 6937523, +41 21 6936459

Research Interests

  • Coding Theory
  • Communication Networks
  • Detection and Estimation
  • Shannon Theory
  • Source Coding


Michael Gastpar received the Dipl. El.-Ing. degree from Eidgenössische Technische Hochschule (ETH) in 1997, the Master of Science degree from the University of Illinois (Urbana) in 1999, and the Doctorat ès Sciences degree from Ecole Polytechnique Fédérale de Lausanne (EPFL) in 2002.

He is currently a Full Professor at EPFL. Prior to that, he was an Assistant and Associate Professor in Electrical Engineering and Computer Sciences at the University of California, Berkeley. In 2009, he became a Full Professor at Delft University of Technology, where he still holds a faculty position. He also spent time as a researcher at Bell Laboratories, Lucent Technologies, Murray Hill, NJ.

His research interests are in network information theory and related coding and signal processing techniques, with applications to sensor networks and neuroscience.

He won the 2002 EPFL Best Thesis Award, an NSF CAREER award in 2004, an Okawa Foundation Research Grant in 2008, and an ERC Starting Grant in 2010. He is an Information Theory Society Distinguished Lecturer (2009-2011). He has served as an Associate Editor for Shannon Theory for the IEEE Transactions on Information Theory (2008-11), and as Technical Program Committee Co-Chair for the 2010 International Symposium on Information Theory, Austin, TX.

Participation & Positions:

Information Theory School Subcommittee (Member, 01/01/14 until 12/31/16)
Membership Committee (Member, 01/01/12 until 12/31/14)
Awards Committee (Member, 01/01/12 until 12/31/13)
ITSOC Distinguished Lecturers (Lecturer, 10/29/09 until 12/31/11)
Publications Committee (Associate Editor for Shannon Theory, 07/01/08 until 07/01/11)

Author Of:

B. Nazer , M. Gastpar , "Compute-and-Forward: Harnessing Interference Through Structured Codes", IEEE Trans. Inform. Theory, Oct. 2011

Advisor To:

A.D. Sarwate , "Robust and adaptive communication under uncertain interference", Ph.D. Thesis, University of California, Berkeley, Berkeley, CA, USA, Jul. 2008