Daniel R. Fuhrmann
- Chair, Department of Applied Computing
- Dave House Professor of Computer Engineering
- PhD, Electrical Engineering and Computer Science, Princeton University
- MA, Electrical Engineering and Computer Science, Princeton University
- MS, Electrical Engineering and Computer Science, Princeton University
Daniel R. Fuhrmann received a BS in Electrical Engineering cum laude in 1979 from Washington University and three degrees from Princeton University: an MA and MS (1982) and a PhD (1984), all in Electrical Engineering and Computer Science. From 1984 to 2008, he was with the Department of Electrical Engineering, now the Department of Electrical and Systems Engineering, at Washington University, in St. Louis. He has been an ASEE summer faculty research fellow with the Naval Underwater Systems Center, in New London, Connecticut; a consultant to the MIT Lincoln Laboratory, in Lexington, Massachusetts; and an ASEE summer faculty fellow with the Air Force Research Laboratory, in Dayton, Ohio. He is a former associate editor for the IEEE Transactions on Signal Processing, and was the General Chairman of the 2003 IEEE Workshop on Statistical Signal Processing. In the 2000-01 academic year, he was a Fulbright Scholar visiting at the Universidad Nacional de La Plata near Buenos Aires, Argentina. His research interests lie in various areas of statistical signal and image processing, including sensor array signal processing, radar systems, and adaptive sensing. Fuhrmann is a fellow of the IEEE.
Areas of Interest
- Signal Processing
- D. Fuhrmann, J. P. Browning, and M. Rangaswamy, "Signaling Strategies for the Hybrid MIMO Phased-Array Radar," IEEE J. Selected Topics in Signal Processing, vol. 4, no. 1, pp. 66-78, February 2010.
- D. Fuhrmann and G. San Antonio, "Transmit Beamforming for MIMO Radar Systems using Signal Cross-Correlation," IEEE Trans. Aerospace and Electronic Systems, vol. 44, no. 1, pp. 1-16, January 2008.
- A. Roncagliolo, J. Garcia, P. Mercader, D. Fuhrmann, C. Muravchik, "Maximum-Likelihood Attitude Estimation using GPS Signals," Digital Signal Processing, vol. 17, pp. 1089-1100, November 2007.
- D. Fuhrmann, "Numerically Stable Implementations of the Structured Covariance EM Algorithm," SIAM J. Matrix Analysis and Applications, vol. 29, no. 3, pp. 855-869, August 2007.
- G. San Antonio, D. Fuhrmann, and F. Robey, "MIMO Radar Ambiguity Functions," IEEE J. Selected Topics in Signal Processing, vol. 1, no. 1, pp. 167-177, June 2007.
- D. Rieken and D. Fuhrmann, "Generalizing MUSIC and MVDR for Multiple Noncoherent Arrays", IEEE Trans. Signal Processing, vol. 52, no. 4, pp. 2396-2406, September 2004.
- D. Fuhrmann et al., "Spectrum Estimation from Quantum-Limited Interferograms", IEEE Trans. Signal Processing, vol. 52, no. 4, pp. 950-961, April 2004.
- "Adaptive Sensing and Target Tracking for MIMO Radar Systems," Office of Naval Research, 2/1/09-9/30/11.
- "Adaptive Signal Processing and Waveform Design for Hybrid MIMO (ASP-WD)", Dynetics (Air Force prime), 12/16/08-12/15/10.
- "Distributed Aperture Radar", MIT Lincoln Laboratory, 8/1/03-12/31/07.
- "Improvements in BAC Fingerprinting and End Sequencing", National Institutes of Health, subcontract with British Columbia Genome Sciences Centre, 4/01/03-3/31/06.
- "Active-Testing Surveillance for Ground Moving Target Detection with Precise Geolocation", Defense Advanced Research Projects Agency, through a subcontract with the Air Force Research Laboratory, 2/14/03-8/31/04.
- "Structured Clutter Covariance for STAP Using Terrain Elevation Data", Defense Advance Research Projects Agency, through a subcontract with SAIC, 8/20/02-11/30/02.
- "Radar Studies", MIT Lincoln Laboratory, 5/1/99-4/30/01.