Cochran

Douglas Cochran

Associate Professor
Assistant Dean for Research in the Fulton School of Engineering
School of Electrical, Computer, and Energy Engineering
Electrical Engineering Faculty
Degree Program(s):
Electrical Engineering
  • Bio
  • Expertise
  • Education
  • Honors & Distinctions
  • Selected Publications

Douglas Cochran joined the ASU faculty in 1989. Between 2000 and 2005 and again from 2008 through 2010, he was on assignment to program management positions in federal agencies, first at the U.S. Defense Advanced Research Projects Agency and subsequently at the U.S. Air Force Office of Scientific Research. He served as Assistant Dean for Research in the Ira A. Fulton School of Engineering between 2005 and 2008. Before coming to ASU, he was a senior scientist at BBN Laboratories. Professor Cochran has served as a visiting scientist at the Australian Defense Science and Technology Organisation, as associate editor of the IEEE Transactions on Signal Processing, and as general co-chair for the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing and the 1997 U.S.-Australia Workshop on Defense Signal Processing. He holds PhD and SM degrees in applied mathematics from Harvard University and degrees in mathematics from UCSD and MIT.

Sensor signal processing, applied harmonic analysis, detection theory.

Ph.D. Applied Mathematics
Harvard University 1990
S.M. Applied Mathematics
Harvard University 1986
M.A. Mathematics
University of California - San Diego 1980

Top 5% of Fulton School of Engineering Teaching Faculty Commendation, 2007; U.S. Secretary of Defense Medal for Exceptional Public Service, 2005; Engineering Teaching Excellence Award, 1996-1997; IEEE Senior Member.

C.P.S .Thejaswi, A. Bennatan, J. Zhang, A.R. Calderbank, and D. Cochran, “Cooperative Relaying with Layered Coding for Two-Hop Interference Flows,” IEEE Transactions on Information Theory, vol. 57(5),  pp. 2765—2780, May 2011.

P. Mahanti, T. Taylor, M. Hayes, D. Cochran, and M. Petkus, “Improved Detectability and Signal Strength for Rotating Phase Fluorescence Immunoassays through Image Processing,” Analyst, vol. 136(2), pp. 365—373, January 2011.

I.V.L Clarkson, S.D. Howard, W. Moran, D. Cochran, and M.L. Dawson, "Maximum-liklihood and Best Invariant Orientation Estimation, "To appear in: Proceedings of the 44th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove CA, November 2010.

A. Viswanathan, A. Gelb, D. Cochran, and R. Renaut, “On Reconstruction from Non-uniform Spectral Data,” Journal of Scientific Computing, vol. 45(1), pp. 487—513, October 2010.

K. Ni, S. Datta, P. Mahanti*, S. Roudenko, and D. Cochran, “Using Reed-Muller Sequences as Deterministic Compressed Sensing Matrices for Image Reconstruction,” Proceedings of the 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, Dallas, March 2010.

N. Kovvali, C. Prior, K. Cizek, M. Galik, A. Diaz, E. Forzani, A. Cagan, J. Wang, N.J. Tao, D. Cochran, A. Spanias, and R. Tsui, “Least-squares Based Feature Extraction and Sensor Fusion for Explosive Detection,” Proceedings of the 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, Dallas, March 2010.

D. Cochran, S. Suvorova, S. Howard, and B. Moran, “Waveform Libraries and Measures of Effectiveness for Radar Scheduling,” IEEE Signal Processing Magazine, vol. 26, no 1, January 2009.

A.O. Hero III, D.A. Castañón, D. Cochran, and K. Kastella, eds., Foundations and Applications of Sensor Management, ISBN 978-0-387-27892-6, Springer, 2007.