SARI MOH'D ISMAEIL AWWAD

Sari Mohd Ismaeil Awwad	Associate Professor
Computer Vision/Pattern Recognition
Faculty of Prince Al-Hussein Bin Abdallah II For Information Technology	Department of Computer Science and Applications (CSA)
sari@hu.edu.jo	http://staff.hu.edu.jo/sariawwad
ORCID ID : 260432409
Office No. : Computer Science Department	EXT :

C.V. Document file as PDF:

Ph.D.	University of Technology Sydney	Australia,2017
Master	AL-albayt	Jordan,2005
Bachelor	Mutah	Jordan,2001

 My research interests include: dimensionality reduction, computer vision, pattern recognition, machine learning and its applications to Video analysis. During my PhD study, I have developed a novel technique for Tracking and Fine-Grained activities in Depth videos

                                                     Conferences	
	• Sari Awwad, Fairouz Hussein, and Massimo Piccardi. "Local depth patterns for tracking in depth videos." In Proceedings of the 23rd ACM international conference on Multimedia, pp. 1115-1118. ACM, 2015. 
	• Sari Awwad, and Massimo Piccardi. "Local depth patterns for fine-grained activity recognition in depth videos." In Image and Vision Computing New Zealand (IVCNZ), 2016 International Conference on, pp. 1-6. IEEE, 2016.
	• Hussein, Fairouz, Sari Awwad, and Massimo Piccardi. "Joint action recognition and summarization by sub-modular inference." In Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International Conference on, pp. 2697-2701. IEEE, 2016.
	• Awwad, Sari. "Arabic Word stemming Based on Pattern Affixes Removal." In 2019 10th International Conference on Information and Communication Systems (ICICS), pp. 1-6. IEEE, 2019.
                                                     
                                                     Journals
	•Sari Awwad, and Massimo Piccardi. "Prototype-based budget maintenance for tracking in depth videos." Multimedia Tools and Applications (2016): 1-16.

        • Sari Awwad, Sanjay Tarvade, Massimo Piccardi, and David J. Gattas. "The use of privacy-protected computer vision to measure the quality of healthcare worker hand hygiene." International Journal for Quality in Health Care (2018).

        • Sari Awwad, Mustafa Hammad, and Safaa Al-Haj Saleh. "Non-vocalised Arabic word classifications based on mining affixes features." International Journal of Computer Applications in Technology 59, no. 4 (2019): 347-353.

  • Abdallah, Emad E., Ahmed Fawzi Otoom, Alaa E. Abdallah, Mohammad Bsoul, and Sari Awwad. "A Hybrid Secure Watermarking Scheme Using Nonnegative Matrix Factorization and FastWalsh-Hadamard Transform." Journal of Applied Security Research (2019): 1-14.

  Thesis
 	• Sari Awwad, “Tracking and Fine-Grained Activity Recognition in Depth Videos”, PhD Thesis, University of Technology, Sydney (UTS), Sydney, Australia, 2010.

  
Assistant Professor
2017-now
• The Hashemite University
Zarqa, Jordan


Lecturer
2005-2014
• The Hashemite University
Zarqa, Jordan

Teaching and Research Assistant
2001-2002
• The Hashemite University
Zarqa, Jordan

 Data Structures, Logic Design, Object Oriented, and Programming languages

  
Assistant Professor
2017-now
• The Hashemite University
Zarqa, Jordan


Lecturer
2005-2014
• The Hashemite University
Zarqa, Jordan

Teaching and Research Assistant
2001-2002
• The Hashemite University
Zarqa, Jordan

SARI MOH'D ISMAEIL AWWAD

SARI MOH'D ISMAEIL AWWAD

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