Michael Gastpar

Affiliation:

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

University of California, Berkeley
Dept. of EECS, 265 Cory Hall, Berkeley, CA 94720-1770

Home Page:

http://people.epfl.ch/michael.gastpar

Biography:

Michael Gastpar is a Professor at EPFL and an Adjunct Associate Professor at the University of California, Berkeley, in the Department of Electrical Engineering and Computer Sciences. He was an Assistant Professor 2003-2008 and a tenured Associate Professor 2008-2011 at the University of California, Berkeley. He also holds a faculty position at Delft University of Technology, The Netherlands, and he spent time as a researcher at Bell Laboratories, Lucent Technologies, Murray Hill, NJ. He received his Dipl. El.-Ing. in 1997 from ETH Zürich, his MS in 1999 from UIUC, and his Dr. ès sc. in 2002 from Ecole Polytechnique Fédérale, Lausanne, Switzerland.

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.

Research Interests:

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

Participation & Positions:

Awards Committee (2012)
Membership and Chapters Committee (Member, 01/01/12 until 12/31/13)
Distinguished Lecturers (Lecturer, 10/29/09 until 12/31/11)
Publications Committee (Associate Editor for Shannon Theory, 07/01/08 until 07/01/11)

Advisor to:

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