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 completed his BS degree from Sussex University in the UK in 1984 and his PhD from Oxford University in 1988.  Dr. Al-Assaf's research focuses on using soft computing to model and control various industrial and medical systems. Applications include materials modeling and classification, prostheses control, industrial quality control and optimization.  As examples, Dr. Al-Assaf developed a computerized predictive controller for the cement mills for the Blue-Circle Cement factories in the UK developed an artificial intelligence software packages for stock optimization and planning. 

Dr. Al-Assaf’s industrial experiences are in the areas industrial instrumentation and control (PLC, SCADA, DCS, microprocessor and PC-based controllers). He designed and developed various automated control systems for various industries including fertilizer, textile and sheet-cutting establishments. 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 a founding member and chair of the industrial engineering department at University of Jordan and worked as the outreach manager at University of Jordan. He was a founding member of the electrical engineering and computer engineering programs at the American University of Sharjah (AUS). He was appointed as the associate dean for the College of Engineering at AUS and since 2005 he is the Dean of the College of Engineering at AUS.

Dr. Al-Assaf has various contributions in the development initiatives and strategies of engineering education and outreach.  He was the regional manager 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."  

Publications

Books:

Y.Tachwali, A. Al-Ali and Y. Al-Assaf, “ Sensor Fusion based Plastic Bottle classification System”, VDM publishing, 2009.

       Book Chapter:

H. El-Kadi and Y. Al-Assaf, “ Fatigue Life Prediction of Fiber Reinforced Composites using Artificial Neural Networks”, in Composites Materials Technology: Neural Networks Applications, 2009.

Journal Publications

• H. Rehman, Y Al-Assaf, R. Said, "An Integrated Approach for Strategic Development of Engineering Curricula: Focus on Students' Design Skills", IEEE Transaction on Education, VOL. 52, NO. 4, NOVEMBER 2009
• Wissam Hassouneh, Rached Dhaouadi, and Yousef Al-Assaf, “Dynamic Modeling of Nonlinear Systems Using Wavelet Networks”, Journal of Robotics and Mechatronics, Vol.20 No.1, 2008
• Y. Tachwali, Y. Al-Assaf, A.R. Al-Ali, “Automatic multistage classification system for plastic bottles recycling” , International of Sustainable resource Management and Environmental Efficiency,  Resources, Conservation and Recycling 52 (2007) 266–285. ELSEVIER.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• Yousef Al-assaf, Imran Zualkernan, Badr E. Aboul-Ela, “A blue-ocean strategic model for engineering education in the Middle-East”, Second international conference in Engineering education and training, April, Kuwait, 2007.
• 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.
• 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. 
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
•   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.
•   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.
• 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.
•   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.
• 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.