Address: Department of Electrical Engineering College of Engineering American University of Sharjah P.O. Box 26666 Sharjah, United Arab Emirates Room: ER 116 Office: +(971) 6 515 2904 Fax: +(971) 6 515 2979 E-mail: yassaf@aus.edu

Research Interests

Intelligent systems, optimization, adaptive control, and industrial instrumentation and control

Biography

Dr. Al-Assaf's research and industrial experiences are in the areas industrial instrumentation and control (PLC, SCADA, DCS, microprocessor and PC-based controllers). During his work at Oxford University, Dr. Al-Assaf developed a computerized predictive controller for the cement mills for the Blue-Circle Cement factories. He designed and developed various automated control systems for various industries including fertilizer, textile and sheet-cutting establishments. He developed an artificial intelligence software packages for stock optimization and planning. Dr. Al-Assaf has given various in-house and general workshops in PLC and computer industrial process control for practicing engineers in Jordan, Saudi Arabia and the UAE. He troubleshot various control systems including pneumatic and hydraulics systems. Dr. Al-Assaf was the regional manager and the University of Jordan representative for one of the European Commission projects with the Mediterranean region (Euro-Mediterranean partnership). The aim of the project was to develop "a generic interactive package for systems engineering courses and applications." Dr. Al-Assaf participated in the establishment of the industrial engineering department at the University of Jordan and the electrical and computer engineering programs at AUS.

Publications

1. Yousef Al-assaf, “Surface Myoelectric Signal Analysis: Dynamic Approaches for Change Detection and Classification”, IEEE Transactions on Biomedical Engineering, Vol. 53, Issue 11, Nov.2006, pp. 2248-2256.
2. Y. Al-Assaf & H. El-Kadi, “Fatigue life prediction of composite materials using polynomial classifiers and recurrent neural networks”, Composite Structures, vol. 77, pp 561-569, 2007.
3. R. El-Khazali, W. Ahmad & Y. Al-Assaf , “Sliding mode control of generalized fractional chaotic systems”, International journal of bifurcation and chaos, Vol..16, No. 10, 2006, pp.1-13.
4. K. Assaleh & Y. Al-Assaf, “Features Extraction and Analysis for classifying causable patterns in control charts”, Journal of Computers & Industrial Engineering 49 (2005) 168-181.
5. Y. Al-Assaf, H. Al-Nashash, “Surface myoelectric signal classification for prostheses control” Journal of medical Engineering and Technology, Vol.29, No. 5, September-October, 203-207, 2005.
6. Y. Al-Assaf, “Recognition of concurrent control chart patterns using multiresolution wavelets analysis and neural networks", Journal of Quality Engineering, Vol. 17, No. 1/2005, pp.11-21.
7. Yousef Al-assaf, Imran Zualkernan, Badr E. Aboul-Ela, “A blue-ocean strategic model for engineering education in the Middle-East”, to appear in the second international conference in Engineering education and training, April, Kuwait, 2007.
8. Y. Al-Assaf, R. El-Khazali & W. Ahmad, “Identification of fractional chaotic system parameters”, Journal of Chaos, Solitons and fractals, 22, pp. 897-905, 2004.
9. Y. Al-Assaf, “Recognition of Control chart patterns using multi-resolution wavelets and neural networks”, Journal of Computers and Industrial Engineering, Volume 47 ,  Issue 1, August 2004,pp. 17 – 29. 
10. W. Ahmad, R. El-Khazali & Y. Al-assaf , “Stabilization of Generalized Fractional-Order Chaotic Systems using State Feedback Control”, Journal of Chaos, Solitons and fractals, Vol.14, No.4, 2004.
11. Hasan Al-Nashash, Yousef Al-Assaf, Joseph S. Paul, Nitish V.Thakor, “EEG signal Modeling Using Adaptive Markov Process Amplitude”, IEEE Transactions on Biomedical Engineering, May, 2004.
12. Al-assaf, Y. & Ahmad, W., “Parameter Identification of Chaotic Systems Using Wavelets and Neural Networks”, International Journal of Bifurcation and Chaos, Vol. 14, No.4, 2004.
13. Al-assaf, Y., “Comparison between statistical and multiresolution wavelets analysis methods for speech classifications”, Journal of Intelligent and Fuzzy Systems, Vol.14, No.1, 2003, pp.49-58.
14. Y. Al-assaf, (2003), “The Application of Wavelets Transforms and Neural Networks to Speech Classification”, Journal of Intelligent Automation and Soft Computing, Vol.9, No. 1, pp.45-56.
15. Y. Al-Assaf, “Human strategies based Allocation of Two-dimensional Irregular Shapes”, Journal of Intelligent and Fuzzy Systems, Vol. 14; No. 4, pages 181-190 , 2003.
16.   Jarrah, M.A., Al-Assaf, Y., El Kadi, H., (2002), “Neuro-Fuzzy Modeling of Fatigue Life Prediction of Unidirectional Fiber/Epoxy Composite Laminates”, Journal of Composite Materials, Vol.36, No.6, pp.685-700.
17.   El Kadi, H., Al-Assaf, Y., (2002), “Prediction of Fatigue Life of Unidirectional Glass Fibre/Epoxy Composite Laminae using Different Neural Networks Paradigms”, Composite Structures, Vol.55, pp.239-246.
18. H. El Kadi and Y. Al-Assaf, (2002), “Energy-based fatigue life prediction of fiberglass/epoxy composites using modular neural networks”, Composite Structures, Vol.57, pp.85-89.
19.   H. Al-Nashash, Y. Al-Assaf, B. Lvov and W. Mansoor, (2001), "Classification of Material Types Using Laser Speckle, Wavelets and Artificial Neural Networks", Journal of Materials Evaluation, Vol. 59, No. 9, pp. 1072-1078.
20. Al-Assaf, Y., El Kadi, H., (2000), “Fatigue Life Prediction of Unidirectional Glass Fibre/Epoxy Composite Laminae using Neural Networks”, Composite Structures, Vol.53, pp.65-71.