Daniel R. Fuhrmann

Daniel R. Fuhrmann

Electrical and Computer Engineering

Daniel R. Fuhrmann
EERC 118

Chair, Department of Electrical & 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
  • BS, Electrical Engineering, Washington University


Before coming to Michigan Tech in September 2008, Daniel R. Fuhrmann served as a faculty member for 24 years in the Department of Electrical Engineering (now Electrical and Systems Engineering) at Washington University in St. Louis, Mo. He was also a research associate in the Biomedical Computer Laboratory and the Genome Sequencing Center, both part of the university's School of Medicine.

Fuhrmann was also an ASEE Summer Faculty Fellow at both the Naval Underwater Systems Laboratory and the Air Force Research Laboratory and a Fulbright Scholar at the National University of La Plata in Argentina.

His research and teaching interests are in statistical signal and image processing and related topics. The author of more than 100 technical papers, he is best known for his contributions in array signal processing, including structured covariance estimation, array calibration, remote sensing, subspace tracking and space-time adaptive processing, all areas that involve processing data from multiple-sensor systems.

Fuhrmann developed software that made possible the first automated analysis of electrophoretic gel images collected in DNA fingerprinting. This code is being used at the British Columbia Genome Sciences Centre and has significantly reduced the time the center has to spend on genomic analysis of numerous plant and animal species.

An Eta Kappa Nu Outstanding Professor award recipient, he taught undergraduate and graduate courses in introductory electrical and computer engineering, communication theory, signal processing, probability and stochastic processes, and statistical signal processing. He is a senior member of the IEEE, and in 2006 he was a distinguished lecturer at the IEEE Workshop on Sensor Array and Multichannel Processing. His active research programs include adaptive sensing and multiple-input multiple-output (MIMO) radar systems, with funding from the Office of Naval Research and the Air Force Research Laboratory.

Fuhrmann has been an associate editor for the IEEE Transactions on Signal Processing, technical program chairman for the 1998 IEEE Workshop on Statistical Signal and Array Processing, publications chair for the 2002 Workshop on Genomics, Signal Processing, and Statistics, and general chairman for the 2003 IEEE Workshop on Statistical Signal Processing. He has been a consultant for MIT Lincoln Laboratory and for local industry in St. Louis.

Department of Electrical and Computer Engineering