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Masoud Farzam
BEng, MASc, PhD, PEng

Associate Teaching Professor

Department of Electrical, Computer and Software Engineering

Faculty of Engineering and Applied Science

Contact information

2000 Simcoe Street North
Oshawa, Ontario L1G 0C5
Office: ERC3084

905.721.8668 ext. 2851
905.721.3370 (fax)

masoud.farzam@ontariotechu.ca

Education

PhD., Electrical & Computer Engineering, Ryerson University, 2011
M.Sc., Engineering Physics, Tehran Polytechnic University, 1998
B.Sc., Electrical Engineering, Isfahan University of Technology, 1989

Courses

Communication Systems
Digital Systems
Electric Circuits
Computational Engineering Application
Signals & Systems

Research and expertise

Publications and presentations

  • Selected publications and presentations
    1- Masoud Farzam, Soosan Beheshti , ” Adaptive Noise Variance Estimation and Intrinsic Order Selection for Low SNR Hyperspectral Signals”, IEEE Canadian Journal of Electrical and Computer Engineering, Issue 1, Vol. 36, Winter 2013
    2-Masoud Farzam, Soosan Beheshti , ” Simultaneous Denoising and Intrinsic Order Selection in Hyperspectral Imaging”, IEEE Transactions on Geoscience and Remote Sensing, Issue 10, Vol. 49 , 2011
    3-Masoud Farzam, Soosan Beheshti, ” Endmember transformation and replacement in real-time hyperspectral unmixing”, International Journal of Circuits, Systems and Signal Processing, Issue 1, Vol. 3, 2009
    4-Masoud Farzam, Soosan Beheshti, ”Information Theoretic Assessment of Correlated Noise in Hyperspectral Signal Unmixing”, International CCECE conference, Niagara Falls, Canada, May 2011
    5-Masoud Farzam, Soosan Beheshti, ” Robust hyperspectral signal unmixing in the presence of correlated noise”, IEEE Conference on Acoustic and Signal Processing (ICASSP), Prague, May 2011
    6-Masoud Hashemi , Soosan Beheshti and Masoud Farzam, ” Two-stage quantization of noisy hyperspectral images”, IEEE 25th Biennial Symposium on Communications, Kingston, Canada, May 2010
    7-Masoud Farzam, Soosan Beheshti, ” The Noiseless Code-length Concept in Subspace Estimation for Low SNR Hyperspectral Signals”, IEEE conference on Communications, Computers and Signal Processing, Victoria, August 2009
    Received one of the two Gold paper awards in this conference
    8-Masoud Farzam, Soosan Beheshti, ”A noiseless code length method (NCLM) to estimate dimensionality of Hyperspectral data”, IEEE conference on acoustic and signal processing(ICASSP), Taipei, Taiwan, April 2009
    9-Masoud Farzam, Soosan Beheshti, ”A fast transition and replacement (FTR) algorithm for real time Hyperspectral imaging applications’, Remote 08, Venice, Italy, Nov. 2008
    Received the best paper award in this conference
    10-Masoud Farzam, Shahram Shirani, ”Multiple watermarks embedding using long Walsh sequence and DCT spectrum modulation” , Third IEEE conference on Information Technology, Las Vegas, USA, Apr. 2007