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Michael Gastpar
Associate Professor
Research Areas
Research Centers
Teaching Schedule
(Fall 2009)
Biography
Michael Gastpar (Ph.D. EPFL, 2002, M.S. UIUC, 1999, Dipl. El-Ing, ETH, 1997) is currently an Associate Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He was also a student in electrical engineering and philosophy at the Universities of Edinburgh and Lausanne, and a summer researcher in the Mathematics of Communications Department at Bell Labs, Lucent Technologies. 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, and an Okawa Foundation Research Grant in 2008. He is currently an Associate Editor for Shannon Theory for the IEEE Transactions on Information Theory, and he will serve as Technical Program Committee Co-Chair for the 2010 International Symposium on Information Theory, Austin, TX.
Selected Publications
- K. Eswaran, A. Sarwate, A. Sahai, and M. Gastpar, "Zero-rate feedback can achieve the empirical capacity," IEEE Transactions on Information Theory, Jan. 2010.
- B. A. Nazer and M. Gastpar, "The case for structured random codes in network capacity theorems," European Trans. Telecommunication: Special Issue on New Directions in Information Theory, vol. 19, no. 4, pp. 455-474, June 2008.
- B. A. Nazer and M. Gastpar, "Computation over multiple-access channels," IEEE Trans. Information Theory, vol. 53, no. 10, pp. 3498-3516, Oct. 2007.
- 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. 9-41.
- M. Gastpar, "On capacity under receive and spatial spectrum-sharing constraints," IEEE Trans. Information Theory, vol. 53, no. 2, pp. 471-487, Feb. 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.
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