Dr. Hasan Al-Marzouqi

Dr. Hasan Al-Marzouqi

Assistant Professor

Electrical and Computer Engineering Department

P O Box 127788, Abu Dhabi, UAE

Telephone: +971 2 6075090

Fax: +971 2 447 2442

Email: hasan.almarzouqi@ku.ac.ae


Dr. Hasan Al-Marzouqi received his bachelor’s degree (with honors) and his M.S. degree, both in electrical and computer engineering, from Vanderbilt University, Nashville, Tennessee, in 2004 and 2006, respectively. He received his Ph.D. degree in electrical and computer engineering from the Georgia Institute of Technology in 2014.  He is a Senior Member of IEEE and a member of the IEEE Signal Processing Society. His current research interests include deep learning, artificial intelligence, digital rock physics, and bioinformatics.

  • Ph.D., Electrical and Computer Engineering, Georgia Institute of Technology (USA), 2014
  • M.Sc., Electrical and Computer Engineering, Vanderbilt University (USA), 2006
  • B.Sc., Electrical and Computer Engineering, Vanderbilt University (USA), 2004
  • Image Processing
  • Introduction to Remote Sensing
  • Probability and Random Processes.
  • Deep learning and artificial intelligence.
  • Medical Image Processing
  • Digital Rock Physics
  • Bioinformatics

Currently hiring post-docs

Selected Publications

  • Sun, H., H. Al-Marzouqi, and S. Vega. “EPCI: A New Tool for Predicting Absolute Permeability from CT images.” Geophysics 84.3 (2019): 1-29.
  • Al-Marzouqi, “Digital Rock Physics: Using CT Scans to Compute Rock Properties,” in IEEE Signal Processing Magazine, vol. 35, no. 2, pp. 121-131, March 2018. http://dx.doi.org/10.1109/MSP.2017.2784459
  • Hasan Al-Marzouqi, Ghassan AlRegib, “Curvelet transform with learning-based tiling,” Signal Processing: Image Communication, Volume 53, April 2017, Pages 24-39, ISSN 0923-5965,  http://dx.doi.org/10.1016/j.image.2017.01.009
  • Al-Marzouqi, “Data Clustering Using a Modified Kuwahara Filter,” 2009 International Joint Conference on Neural Networks (IJCNN), Atlanta, GA, 2009, pp. 128-132. http://dx.doi.org/10.1109/IJCNN.2009.5178658
  • Al-Marzouqi, H., Noble, J. H., Warren, F. M., Labadie, R. F., Fitzpatrick, J. M., & Dawant, B. (2007, March). Planning a safe drilling path for cochlear implantation surgery using image registration techniques. In Medical Imaging 2007: Visualization and Image-Guided Procedures (Vol. 6509, p. 650933). International Society for Optics and Photonics.

New to site? Create an Account


Lost password? (close)

Already have an account? Login