Department of Electrical Engineering
Faculty Name: Dr. Khaled T Assaleh
Title: Professor - Elect Eng
Administrative Title: Director of Graduate Studies
College/School: College of Engineering
Department: Department of Electrical Engineering
Office Location: EB1-232
Phone: +(971) 6 515 2917
Fax: +(971) 6 515 2979
E-mail: View e-mail address
Teaching Areas  
Signal Processing, Image processing, pattern recognition
Research Areas
Bio-signal/image Processing; Sign Language recognition, Biometrics; Robust Speech and Speaker Recognition, signal processing for mechatronics.
  • B.Sc. in Electrical Engineering, Jordan University, Jordan, 1988
  • M.S. in Electronic Engineering, Monmouth University, NJ, USA, 1990
  • Ph.D. in Electrical Engineering, Rutgers, The State University of New Jersey, USA, 1993
Professional Experience  
  • CAIP Center, Rutgers University, NJ, USA, 1993-1994
  • Motorola Inc., AZ, USA, 1994-1997
  • Rockwell (Conexant, Skyworks), CA, USA, 1997-2002
  • American University of Sharjah, UAE, 2002-present
Senior member of the IEEE; member of the IEEE Signal Processing Society; member of the IEEE Engineering in Medicine and Biology Society; member of the IEEE Computational Intelligence Society
Academic and Professional Awards  
  • AUS Research Grants 2004, 2006; AED 48000
  • ASTF ALJ Grant, 2008-2010; AED 185,000 Prototyping a fetal ECG monitor
  • Emirates Foundation Research Grant, Sep. 2009-Sep. 2011; AED 200,000; Robust Feature Extraction and Machine Learning Techniques for Automatic Arabic Sign Language Recognition
Selected Research, Scholarship and Creative Work
  • For a full citation record see:
  • Ghunem, Refat Atef; Assaleh, Khaled, El-Hag, Ayman H.; Artificial Neural Networks with Stepwise Regression for Predicting Transformer Oil Furan Content, : IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 19, Issue 2,, April 2012 , pp. 414-420
  • T. Shanableh and K. Assaleh, “User-independent recognition of Arabic sign language for facilitating communication with the deaf community, Digital Signal Processing. Volume 21 Issue 4, July, 2011, Pages 535–542
  • T. Shanableh and K. Assaleh, Feature Modeling Using Polynomial Classifiers and Stepwise Regression, Neurocomputing, Volume 73 , Issue 10-12 (June 2010) Pages: 1752-1759
  • Khaled Assaleh and Tamer Shanableh, Robust Polynomial Classifier Using L1-norm minimization, Applied Intelligence, Volume 33, Number 3, December 2010, Pages 330-339
  • M. AL-Rousan, K. Assaleh, A. Tala’a, Video-based signer-independent Arabic sign language recognition using hidden Markov models, Applied Soft Computing, Volume 9, Issue 3, June 2009, Pages 990-999.
  • Khaled Assaleh, Extraction of Fetal Electrocardiogram Using Adaptive Neuro-Fuzzy Inference Systems, IEEE Transactions on Biomedical Engineering, Vol 54, No. 1, Pages 59-68, Jan. 2007
  • T. Shanableh, K. Assaleh, and M. Al-Rousan, Spatio-temporal Feature Extraction Techniques for Isolated Arabic Sign Language Recognition, IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics, Vol 37, No. 3, June 2007.
  • Khaled Assaleh, and Hasan Al-Nashash, A Novel Technique for the Extraction of Fetal ECG Using Polynomial Networks, IEEE Transactions on Biomedical Engineering, vol. 52, No. 6, Page(s):1148 – 1152, June 2005.
  Conference Presentations
  • M.Muzaffar, M. El-Tarhuni, K. Assaleh, Learning-based Spectrum Sensing in OFDM Cognitive Radios, The Second International Conference on Advances in Cognitive Radio COCORA 2012, - Chamonix / Mont Blanc, France, April 29 - May 4, 2012
  • Khaled Assaleh, Nasser Qaddoumi, Tamer Shanableh, and Mohammad El-Jaber, A Novel Biometric via Hand Structure Using Near-Field Microwave Imaging, 9th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), Santa Barbra, California, March 21-25, 2011.
  • M. Ayat, K. Assaleh, and H. Al-Nashash, Prototype of a Standalone Fetal ECG Monitor, 2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA 2010), Penang, Malaysia, October 2010.
  • Yasmin A Hassan; Mohamed El-Tarhuni; Khaled Assaleh, Comparison of Linear and Polynomial Classifiers for Co-operative Cognitive Radio Networks, 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2010), Istanbul, Turkey, September 2010.
  • Omniyah Mohd, Khaled Assaleh, Ghaleb Husseini, Amin Majdalawieh, and Scott Woodward, DNA sequencing using polynomial classifiers, IEEE International Joint Conference on Neural Networks (IJCNN), Barcelona, Spain, July 2010.
  • M. Ayat, K. Assaleh, and H. Nashash, Fetal ECG Extraction from a Single Abdominal ECG Signal using SVD and Polynomial Classifiers, Proceedings of the 2008 IEEE International workshop on machine learning for signal processing, Cancun, Mexico, Oct. 2008.
  • 11 U.S patents.

P.O. Box 26666 Sharjah, UAE, Phone: +(971) 6 515 5555, Office of Enrollment Management: Phone: +(971) 6 515 1000

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