Khabou,Mohamed_211

Dr. Mohamed Khabou

  • Position:  Professor and Chair
  • Department:  Electrical and Computer Engineering
  • Office Location:  Building 4, Room 328
  • mkhabou@uwf.edu
  • Campus: (850) 857-6031

Biography:

Dr. Mohamed Khabou is Professor and Chair of the Electrical and Computer Engineering Department. He has a Ph.D., an M.S. and a B.S. in Electrical Engineering, all from the University of Missouri. Khabou’s earlier projects included an automatic system to index and retrieve images of historical mosaics, automatic recognition of actigraphy signals, effect of distance learning on student performance, and the automatic detection of land mines. Publications carrying his research findings include IEEE Transactions on Pattern Analysis and Machine Intelligence, Electronic Letters on Computer Vision and Image Analysis, IEEE Southeast Conference, International Conference on Ambulatory Monitoring of Physical Activity and Movement, Neural Processing Letters, and Distance Learning, to name a few. Khabou, who won a Faculty Excellence in Teaching Award in 2013, is a reviewer for many scholarly publications. He joined UWF in 2002.

Degrees & Institutions:

Ph.D. Electrical Engineering, University of Missouri
M.S. Electrical Engineering, University of Missouri
B.S. Electrical Engineering, University of Missouri

Research:

Dr. Mohamed Khabou’s current research focuses on using smart device technology to improve quality of life for older people. He is working with Dr. Thomas Reichherzer of the Computer Science Department and Dr. Rodney Guttmann of UWF’s Center on Aging to combine off-the-shelf devices with novel computer algorithms to build a SMILE (Smart Independent Living for Elders) Home in which elders and their families can monitor and improve their daily lives. Khabou’s earlier projects included an automatic system to index and retrieve images of historical mosaics, automatic recognition of actigraphy signals, effect of distance learning on student performance, and the automatic detection of land mines.

Current Courses:

  • Microprocessor Applications
  • Microprocessor Applications Lab
  • Unmanned Systems

Classes Taught:

    • Microprocessor Applications
    • Microprocessor Applications Lab
    • Digital Logic & Computer Systems
    • Digital Image Processing
    • Pattern Recognition

Special Interests:

Dr. Khabou mentored more than 60 Engineering capstone projects, many of which received regional, national and international awards.

Publications:

    M.B.H. Rhouma, M.A. Khabou, and L. Hermi, “Shape Recognition Based on Eigenvalues of the Laplacian,” chapter in Advances in Imaging and Electron Physics vol. 167, pp 183-252, P. W. Hawks (Ed): Elsevier (2011)

    W. Maghrebi, M.A. Khabou, and A.M. Alimi, “Texture and Fuzzy Color Features to Index Roman Mosaic Images,” Int. J. of Intelligent Systems Technologies and Applications (2016)

    T. M. Hamdani, M. A. Khabou, A. M. Alimi, and F. Karray, “An Intelligent Decision-Making System Based on Multiple Classifiers Updated using Confidence Rates and Stress Parameters”, Control and Intelligent Systems, Vol. 39, No. 4, pp. 213-223, (2011)

    B. Shaer, M.A. Khabou, and A. Fuchs, “Effect of Student Location on Assessment of Instruction and Grade Assignment,” Distance Learning, Vol. 6, No. 4, pp. 21-29, (2009)


Keywords: microprocessor applications, digital logic & computer systems, digital image processing, pattern recognition