Michael Gastpar

Assistant Professor

Research Areas

• Biosystems & Computational Biology (BIO)
• Communications & Networking (COMNET), Information theory
• Signal Processing (SP)

Research Centers

• Wireless Foundations

Teaching Schedule (Spring 2008)

• EE 225A. Digital Signal Processing, TT 11:00-12:30P, 521 Cory

Biography

Michael Gastpar received the Dipl. El.-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, IL, 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, U.K., 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.

Selected Publications

• M. Gastpar, "Information-theoretic bounds on sensor network performance," in Wireless Sensor Networks: Signal Processing and Communications, A. Swami, Q. Zhao, Y. Hong, and L. Tong, Eds., Hoboken, NJ: John Wiley and Sons, Inc., 2007, pp. xxx.
• M. Gastpar, "On capacity under receive and spatial spectrum-sharing constraints," IEEE Trans. Information Theory, vol. 53, no. 2, pp. 471-487, Feb. 2007.
• A. D. Sarwate and M. Gastpar, "Deterministic list codes for state-constrained arbitrarily varying channels," University of California, Berkeley, EECS Department, Tech. Rep. UCB/EECS-2007-6, Jan. 2007.
• M. Gastpar, P. L. Dragotti, and M. Vetterli, "The distributed Karhunen-Loeve transform," IEEE Trans. Information Theory, vol. 52, no. 12, pp. 5177-5196, Dec. 2006.
• M. Gastpar, M. Vetterli, and P. L. Dragotti, "Sensing reality and communicating bits: A dangerous liaison," IEEE Signal Processing Magazine, vol. 23, no. 4, pp. 70-83, July 2006.
• G. Kramer and M. Gastpar, "Dependence balance and the Gaussian multiaccess channel with feedback," in Proc. 2006 IEEE Information Theory Workshop, Piscataway, NJ: IEEE Press, 2006, pp. 198-202.
• M. Gastpar and G. Kramer, "On cooperation via noisy feedback," in Proc. 2006 Intl. Zurich Seminar on Communications, Piscataway, NJ: IEEE Press, 2006, pp. 146-149.
• G. Kramer, M. Gastpar, and P. Gupta, "Cooperative strategies and capacity theorems for relay networks," IEEE Trans. Information Theory, vol. 51, no. 9, pp. 3037-3063, Sep. 2005.
• M. Gastpar and M. Vetterli, "Power, spatio-temporal bandwidth, and distortion in large sensor networks," IEEE J. Selected Areas in Communications, vol. 23, no. 4, pp. 745-754, April 2005.
• M. Gastpar and M. Vetterli, "On the capacity of large Gaussian relay networks," IEEE Transactions on Information Theory, vol. 51, no. 3, pp. 765-779, March 2005.
• M. Gastpar, "The Wyner-Ziv problem with multiple sources," IEEE Trans. Information Theory, vol. 50, no. 11, pp. 2762-2768, Nov. 2004.
• M. Gastpar, B. Rimoldi, and M. Vetterli, "To code, or not to code: Lossy source-channel communication revisited," IEEE Trans. Information Theory, vol. 49, no. 5, pp. 1147-1158, May 2003.
• M. Gastpar and M. Vetterli, "On the capacity of wireless networks: The relay case," in Proc. IEEE 2002 Information Communications Conf. (INFOCOM 2002): 21st Annual Joint Conf. of the IEEE Computer and Communications Societies, Vol. 3, Piscataway, NJ: IEEE Press, 2002, pp. 1577-1586.