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MOHAMMAD I. DAOUD received the Ph.D. degree in electrical and computer ‎engineering from the University of Western Ontario, London, Canada, in 2009. During ‎his graduate studies, he was awarded an NSERC PGS-D scholarship and served as a ‎Scholar of the Canadian Institutes of Health Research/University of Western Ontario ‎Strategic Training Initiative in Cancer Research and Technology Transfer. After ‎finishing his graduate studies, he worked in the department of electrical and computer ‎engineering at the University of British Columbia, Vancouver, Canada as a Postdoctoral ‎Research Fellow, where he held an NSERC Postdoctoral Fellowship. In 2011, he joined ‎the Department of Computer Engineering at the German Jordanian University, Amman, ‎Jordan, where he is currently an associate professor.

Educational Background

Electrical and Computer Engineering, University of Western Ontario, London, Canada
Electrical and Computer Engineering, Concordia University, Montreal, Canada
Computer Engineering
Research Interests

His research interests include medical image and signal processing, computer-aided ‎diagnosis systems, machine learning, deep learning, and parallel computing.‎

Selected Publications

2015 Mohammad I. Daoud, Mahmoud Al-Ashi, Fares Abawi, and Ala Khalifeh,""In-house Alert Sounds Detection and Direction of Arrival Estimation to Assist People with Hearing Difficulties"",14th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2015),Las Vegas, USA,2015
2012 J. Chung, M. Daoud, F. Imani, PMP. Abolmaesumi,"GPU accelerated implementation of ultrasound radio-frequency time series analysis",SPIE Medical Imaging,2012
2012 M. I. Daoud, M. M. Baba, F. Awwad, M. Al-Najjar, E. S. Tarawneh,"Accurate Segmentation of Breast Tumors in Ultrasound Images Using a Custom-Made Active Contour Model and Signal-to-Noise Ratio Variations",Eighth International Conference on Signal Image Technology and Internet Based Systems (SITIS),Nov. 25-29, pp. 137–141,Naples, Italy,2012
2011 M. I. Daoud, N. Kharma,"A hybrid heuristic-genetic algorithm for task scheduling in heterogeneous processor networks",Journal of Parallel and Distributed Computing,vol. 71, pp. 1518-1531, 2011,2011
2011 M. Daoud, P, Abolmaesumi , W. You, S. Salcudean , R. Rohling,"Signature-based algorithm for improved needle localization in ultrasound images: a feasibility study",IEEE Ultrasonics Symposium,2011
2011 Imani, F.; Wu, M. Z.; Lasso, A.; Burdette, E. C.; Daoud, M.; Fitchinger, G.; Abolmaesumi, P. & Mousavi, P. ,"Monitoring of tissue ablation using time series of ultrasound RF data",14th international conference on Medical image computing and computer-assisted intervention - Volume Part I,Springer-Verlag, Berlin, Heidelberg, pp. 379 - 386,2011