Michael Gastpar

Michael Gastpar received the Dipl.-Ing. degree from the Swiss Federal Institute of Technology (ETH), Zurich, Switzerland, in 1997, the M.S. degree from the University of Illinois at Urbana-Champaign, Urbana, Ill, in 1999, and the Doctorat es Science degree from the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in 2002, all in electrical engineering. He was also a student in engineering and philosophy at the University of Edinburgh, Edinburgh, UK, and the University of Lausanne. He was a summer researcher in the Mathematics of Communications Department at Bell Labs, Lucent Technologies, Murray Hill, NJ. He is now an Assistant Professor at the University of California, Berkeley. 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 and an NSF CAREER Award in 2004.

Biography Updated on 1 August 2007

Articles in Scholarly Journals [Incomplete List]

  1. On Capacity Under Receive and Spatial Spectrum-Sharing Constraints
    IEEE Transactions on Information Theory, vol. 53, no. 2, pp. 471–487, 2007
  2. Computation Over Multiple-Access Channels
    IEEE Transactions on Information Theory, vol. 53, no. 10, pp. 3498–3516, 2007
  3. Introduction to the Special Issue on Models, Theory, and Codes for Relaying and Cooperation in Communication Networks [Guest Editorial]
    IEEE Transactions on Information Theory, vol. 53, no. 10, pp. 3297–3301, 2007
  4. Correction of “The Distributed Karhunen–Loève Transform”
    IEEE Transactions on Information Theory, vol. 53, no. 11, pp. 4400–4400, 2007
  5. The Distributed Karhunen–Loève Transform
    IEEE Transactions on Information Theory, vol. 52, no. 12, pp. 5177–5196, 2006
  6. Distributed signal processing in sensor networks [from the guest Editors
    IEEE Signal Processing Magazine, vol. 23, no. 4, pp. 14–15, 2006
  7. Sensing reality and communicating bits: a dangerous liaison
    IEEE Signal Processing Magazine, vol. 23, no. 4, pp. 70–83, 2006
  8. Power, Spatio-Temporal Bandwidth, and Distortion in Large Sensor Networks
    IEEE Journal on Selected Areas in Communications, vol. 23, no. 4, pp. 745–754, 2005
  9. On the Capacity of Large Gaussian Relay Networks
    IEEE Transactions on Information Theory, vol. 51, no. 3, pp. 765–779, 2005
  10. Cooperative Strategies and Capacity Theorems for Relay Networks
    IEEE Transactions on Information Theory, vol. 51, no. 9, pp. 3037–3063, 2005
  11. The Wyner–Ziv Problem With Multiple Sources
    IEEE Transactions on Information Theory, vol. 50, no. 11, pp. 2762–2768, 2004
  12. To code, or not to code: lossy source-channel communication revisited
    IEEE Transactions on Information Theory, vol. 49, no. 5, pp. 1147–1158, 2003
  13. Two-stage Wiener filter based cancellation receivers for DS-CDMA
    Electronics Letters, vol. 32, no. 9, p. 805, 1996