- Teacher in IT Department (Sept 2006 – now)
- Vice Chair for IT Department (Sept 2010 – Aug 2012)
- Head of Computer Center (Sept 2012 – Aug 2015)
- Vice Rector for Administrative Affairs (Aug 2015 – Now)
Web developer, analyst, and project manager
Thesis Title: Optimum Automated Procedures for Detecting and Mining Microscopic Urine Particles
Urine analysis reveals the presence of many problems and diseases in human body. Manual microscopic urine analysis is time consuming, subjective to human observation, and causes mistakes. Computer aided automatic microscopic analysis can overcome these problems.
This research introduced a comprehensive approach for automating procedures for detecting and recognition of microscopic urine particles. Samples of RBC, WBC, epithelial cell, calcium oxalate, triple phosphate, and other undefined images were used in experiments. Experiment was applied in two tracks, first considered vague particles which have light boundaries, and second considered the solid particles which have strong boundaries.
In first experiment, images were segmented, textural features were extracted, features’ selection was applied, and five classifiers were tested to get the best results where accuracy of 90.16% was got. In second experiment, image processing functions and segmentation were applied, shape and textural features were extracted, and five classifiers were tested to get the best results where accuracy of 96.41% was got. Repeated experiments were done for adjusting factors to produce the best evaluation results. A very good performance was achieved compared with many related works.
To download the set of images used by this research click the following link
This dataset contains original images captured using eyepiece camera for each of the following:
1- Epithelial Cells
2- Red blood cells (RBC)
3- White blood cells (WBC)
4- Crystals - Triple phosphate
5- Crystals - Uric Acid
6- Crystals (Envelope) -small -Oxalate
Thesis Title: Computer Aided Medical Analysis
An artificial intelligence system on the basis of image processing, consists of pc special camera, microscope, and pc software system; the system do three major tasks
Captures the urine slice image and detect objects inside it to discover the disease
Captures ten images of sperms slice (semen analysis) and calculate the number of active, sluggish, and dead sperms
Mohamed D. Almadhoun, Alaa M. El-Halees, “Different Mining Techniques for Health Care Data Case Study of Urine Analysis Test”. Fifth International Conference on Intelligent Computing and Information Systems (ICICIS), Egypt, 2011.
Mohamed D. Almadhoun, “Investigating and Criticizing Software Engineering Practices in Palestine”. The 4th International Engineering Conference (IEC4), Palestine, 2012.
Mohamed D. Almadhoun, “Enhancement and Performance Analysis on Dutta and Chaudhuri Color Edge Detection Algorithm in RGB Color Space”. The Third International Conference on Digital Information Processing and Communications (ICDIPC 2013)”, UAE, 2013.
Mohamed D. Almadhoun, “IMPROVING AND MEASURING COLOR EDGE DETECTION ALGORITHM IN RGB COLOR SPACE”. International Journal of Digital Information and Wireless Communications (IJDIWC), Vol. 3, No. 1, p.p. 19-24, 2013.
Mohamed D. Almadhoun, “Automated Detection and Mining of Microscopic Urine Particles”. LAP LAMBERT Academic Publishing, ISBN 978-3-8454-1720-2.
Mohamed D. Almadhoun, “Automated Recognition Of Urinary Epithelial Cells”. The International Conference on Technological Advances in Electrical, Electronics and Computer (TAEECE 2013), Engineering, Turkey, 2013.
Mohamed D. Almadhoun, Alaa M. El-Halees, “Automated Recognition of Urinary Microscopic Solid Particles”. Journal of Medical Engineering & Technology, Volume 38, Number 2, March 2014 , pp. 104-110(7).
Mohamed D. Almadhoun, “Data Mining Based Performance Analysis for Solar PV Power System Data – UCAS Case Study”. 4th International Conference on Renewable Energy Research and Applications (ICRERA), Italy, 2015.
Membership of Professional Societies
Membership of IEEE (Institute of Electrical and Electronics Engineers)
Computer committee member in the Association of Engineers
IC3 Authorized Instructor – Internet and computing core certification
Attended Special Training Courses
Arabic (Mother language) read, write, speak, listen
English read, write, speak, listen