Home \ Faculty Details \ Jawad Hasan Alkhateeb, PhD.
Faculty Img

  • Phone:

    +966-13-849-8890

  • Email:

    jalkhateeb@pmu.edu.sa

  • Office No:

    F-020

  • Jawad Hasan Alkhateeb, PhD.

  • Job Title :

    Assistant Professor

  • College :

    College of Computer Engineering and Science


  • Department :

    Computer Engineering


Dr. Jawad Alkhateeb is currently working as an Assistant Professor at Prince Mohammad Bin Fahd University, Kingdom of Saudi Arabia in the College of Computer Engineering and Science, Department of computer Engineering.  Dr. Alkhateeb received his PhD degree in Computer Engineering - Artificial Intelligence from the University of Bradford, UK in 2010. He Received his MSc and BSc degrees in Electrical and Computer Engineering from Louisiana Tech University, Ruston, USA in 1992 and 1991 respectively.  He has a 28-year academic experience in teaching Computer Science and Engineering topics and in conducting research related to Artificial Intelligence, Pattern Recognition, Machine Learning, Deep Learning, Arabic OCR, and IoT.

 

 

Google Scholar

https://scholar.google.com/citations?hl=en&user=D1EV1c0AAAAJ

 

  • PhD., Computer Engineering, University of Bradford, UK, 2010. 

  • MSc., Electrical and Computer Engineering,Louisiana Tech University, USA, 1992.

  • BSc, Electrical and Computer Engineering, Louisiana Tech University, USA, 1991.

Books:

  1. Jawad H. AlKhateeb, “Word Based off-line Handwritten Arabic Classification and Recognition”, LAP LAMBERT Academic Publishing, ISBN 978-3-8454-0026-6, 2011.
  1. Jawad H. AlKhateeb and Aiman Turani: “Programming Using FORTRAN 77”, Al-Hamed Publishing Inc; 1999. Amman – Jordan

 

Book Chapters:

  1. Jawad AlKhateeb, J. Ren, S. S.  Ipson, and J. Jiang, “Interactive Knowledge Discovery for Baseline Estimation and Word Segmentation in Handwritten Arabic Text”. Advanced Technologies, Intech, PP 619-635, ISBN 978-953-7619-X-X.

Journals:

  1. Jawad Hasan Alkhateeb, Ehsan Owaidah, Rashiq Marie, Aiman Turani, Alaa Alddein Amro, Ahmad A. Mazhar.  "A Framework for Saudi Uniform Gait Recognition Based on Kinect Skeletal Tracking”. International Arab Journal of Information Technology, Vol.21, No. 2, 2024.
  2. Ahmad Mazhar, Abid Jameel, Mohammad Nadeem, Mohammad Asmat Ullah Khan, Jawad Hasan Alkhateeb, Faiza Bibi, and Ali Mohammad Seerat.” Deep Convolutional Neural Network for Robust Detection of Object-Based Forgeries in Advanced Video”. IEEE Access, Vol. 12, pp. 21156-21164, 2024.
  3. Islam Zada, Abdullah Alshammari, Ahmad Mazhar, Abdullah Aldaeej, Sultan Qasem, Kashif Amjad, Jawad H. Alkhateeb. “Enhancing IOT based software defect prediction in analytical data management using war strategy optimization and Kernel ELM”, Wireless Network, December 2023.
  4.  Abdulla Alshammari, Ahmad Almadhor, Sultan N.  Qasem, Jawad Alkhateeb, Kashif Amjad. “High-performance computing-enabled probabilistic framework for migration from monolithic to microservices architecture using genetic algorithms”, Soft Computing, October 2023.
  5. Zalloum, H. N., Al Zeer, S., Manassra, A., Abu Sara, M. R. & Alkhateeb, J. H. (2022). “Breast Cancer Grading using Machine Learning Approach Algorithms”, Journal of Computer Science, Vol. 18, No 12, 2022. PP 1213-1218.
  6. Jawad Alkhateeb, et al. “An Effective Deep Learning Approach for Improving Off-Line Arabic Handwritten Character Recognition”, International Journal of Software Engineering and Computer Systems, (IJSECS), Vol.6, No. 2, 2020. PP 53-61.
  7.  Jawad Alkhateeb, “Handwritten Arabic Digit Recognition Using Convolutional Neural Network”, International Journal of Communication Networks and Information Security (IJCNIS)”, Vol. 12, No. 3, December 2020, PP 411 – 416.
  8. Jawad Alkhateeb, “A Machine Learning Approach for Recognizing the Holy Quran Reciter"”, International Journal of Advanced Computer Science and Applications (IJACSA)”, Vol. 11, No. 7, July 2020, PP 268-271.
  9. Jawad H Alkhateeb,” A Novel Framework for Ensuring Online Exam Authentication at Taibah University”, International Journal of Software Engineering and Computer Systems, (IJSECS), Vol. 6 No. 1, 2020, PP 1-7.
  10. Jawad H Alkhateeb, “A New Model for Enhancing Computer Based Exam Authentication in KSA”. Oriental Journal of Computer Science and Technology, Vol. 11 No. 1, March 2108, PP 12-17.
  11.  Jawad H Alkhateeb, “A New Framework for Identifying the Missed Pilgrims in Hajj and Umrah”. Oriental Journal of Computer Science and Technology, Vol. 10 No. 4, December 2107, PP 718-724.
  12.  Jawad H Alkhateeb, “A Database for Identifying the Missed Pilgrims in Hajj and Umrah”.  International Journal of Computer and Information Technology, Vol. 6. No 6, November 2017, PP 346 – 351.
  13. Aiman Turani, Jawad Alkhatib, “A New Algorithm for Balancing Group Population in Collaborative Leaning Sessions”. International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 6, No. 9, 2015, PP 87 -90.
  14.  Jawad H Alkhateeb, "Off-Line Arabic Handwritten Isolated Character Recognition Using hidden Markov Models”. Journal of Emerging Trends in Computing and Information Sciences, Vol.  6. No 8, August 2015, PP 415 – 420.
  15. Jawad H Alkhateeb, "Off-Line Arabic Handwritten Isolated Character Recognition". International Journal of Engineering Science and Technology (IJEST). Vol.  7, Issue 7, July 2015, Pages 251-257.
  16. . Anmar Abuhamdah, Rawnaq Kittaneh, Jawad Alkhatib, Mohd Nazri Zakree,  "Swap Mechanism for Medical Clustering Problems". Journal of Applied Sciences. January 2014.
  17.  Khaled Musa, Jawad Alkhateeb, “Quality Model Based on COTS Quality Attributes”. International Journal of Software Engineering & Applications (IJSEA), Vol.4, No.1, January 2013.
  18.  Jawad H AlKhateeb, Olivier Pauplin, Jinchang Ren, and Jianmin Jiang, “Performance of Hidden Markov Model and Dynamic Bayesian Network Classifiers on Handwritten Arabic Word Recognition”. Knowledge-Based Systems. Vol. 24, Issue 5, July 2011, Pages 680-688.
  19. Jawad H AlKhateeb, Jinchang Ren, Jianmin Jiang, Husni Al-Muhtaseb,“Offline Handwritten Arabic Cursive Text Recognition using Hidden Markov Models and Re-ranking”. Pattern Recognition Letters, Vol. 32, Issue 8, June 2011, Pages 1081-1088.
  20. Jawad H AlKhateeb , Jianmin Jiang, Jinchang Ren,  Fouad Khelifi, Stan S Ipson: “  Multiclass Classification of Unconstrained Handwritten Arabic Words Using Machine Learning Approaches”. The Open Signal Processing Journal vol.2 (2009), pp 21-28.
  21. Jawad H AlKhateeb, J. Ren, S. S. Ipson and J. Jiang: “Component-based Segmentation of Words from Handwritten Arabic Text ". International Journal of Computer Systems Science and Engineering, Vol. 5, No 1, 2009.

Conferences:

  1. Dania Salameh, Riham Dannoun, Isra Zawahra,  Mutaz Rasmi Abu Sara, Jawad H Alkhateeb, and Sameh Taqatqa, “ Solar Photovoltaic Panels Detection Using Machine Learning Algorithms”, the 2nd Engineering International Conference on Electrical, Energy, and Artificial Intelligence(EICEEAI) 2023.
  2.  H. Abdel-Jaber, J. H. Alkhateeb and M. El-Amir, "Evaluation of the Performance for IM-RED and IGRED Algorithms using Discrete-time Queues," 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN), Al-Khobar, Saudi Arabia, 2022, pp. 23-28.
  3. Najlaa H. Alharbi and Jawad H. Alkhateeb, "Sentiment Analysis of Arabic Tweets Related to COVID-19 Using Deep Neural Network," 2021 International Congress of Advanced Technology and Engineering (ICOTEN), 2021.
  4. Jawad H Alkhateeb, Aiman ATurani, AbdulRahman A. Alsewari, “Performance of Machine Learning and Deep Learning on Arabic Handwritten Text Recognition”.  International Conference on Emerging Technology in Computing, Communication and Electronics (ETCCE 2020), Dec. 2020.
  5. Aiman ATurani , Jawad H Alkhateeb,  AbdulRahman A. Alsewari, “Students Online Exam Proctoring: A Case Study Using 360 Degree Security Cameras”.  International Conference on Emerging Technology in Computing, Communication and Electronics (ETCCE 2020), Dec. 2020.
  6. Ehsan M Owaidah, Khalid S Aloufi, Jawad Alkhateeb, “Gait Recognition for Saudi Costume Using Kinect Skeletal Tracking". The 2nd International Conference on Computer Applications & Information Security (ICCAIS) , May, 2019.
  7. Jawad H Alkhateeb: "A Database for Arabic Handwritten Character Recognition". International Conference on Communication, Management and Information Technology (ICCMIT 2015), April 2015.
  8. Jawad H AlKhateeb, Marwan Alseid:  "DBN-Based learning for Arabic handwritten digit recognition using DCT features". The 6th International Conference on Computer Science and Information Technology (CSIT), 2014, PP 222-226.
  9. Marwan Alseid, Jawad H AlKhateeb, O A Rawashdeh:  "Proposed approaches for intelligent classification of mobile apps for smart phones". The 6th International Conference on Computer Science and Information Technology (CSIT), 2014, PP 60-63.
  10. Jawad H AlKhateeb: “Offline Handwritten Arabic Digit Recognition Using Dynamic Bayesian Network”.  The 1st Taibah University International Conference on Computing and Information Technology 2012, pp. 176-180.  (ICCIT 2012).
  11. Jawad H AlKhateeb: “A New Features for Off-Line Handwritten Arabic Word Recognition Using HMM Classifier”. The 7th Jordanian International Electrical & Electronics Conference, 2011, pp.139 – 143. (JIEEEC 2011).
  12. Jawad H AlKhateeb: “Word-based Handwritten Arabic Scripts Recognition Using Dynamic Bayesian Network”. The 5th International Conference on Information Technology 2011. (ICIT’11).
  13. Jawad H AlKhateeb, Fouad Kheleifi,, Jianmin Jiang, Stan S Ipson : “A New Approach for Off-line Arabic Handwritten Word Recognition Using KNN Classifier”, IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 2009,  pp.191-194, 18-19 Nov. 2009.
  14. Jawad H AlKhateeb, Jinchang Ren, Jianmin Jiang, Stan S Ipson: “A machine learning approach for off-line handwritten Arabic words”, International Conference on CyberWorlds 09, pp.219-223, 7-11 Sept. 2009
  15. Jawad AlKhateeb, J. Ren, J. Jiang, and S. S. Ipson:  " Unconstrained Arabic Handwritten Word Feature Extraction: A Comparative Study". Proc. 6th Int’l conf. Information Technology: New Generation (ITNG 2009), PP 1655-1656.
  16. Jawad AlKhateeb, J. Ren, S. S. Ipson and J. Jiang, Haikal ElAbed: "Word-based Handwritten Arabic Scripts Recognition using DCT Features and Neural Network Classifier". The IEEE Fifth International Multi-Conference on Systems, Signals and Devices, 2008 IEEE SSD 2008. 20-22 July 2008.
  17. Jawad AlKhateeb, J. Ren, S. S. Ipson and J. Jiang:  "Knowledge-based Baseline Detection and Optimal Thresholding for Words Segmentation in Efficient Pre-processing of Handwritten Arabic Text". Proc. 5th Int’l conf. Information Technology: New Generation (ITNG 2008), PP 1158-1159. 
  18. Jawad. H. AlKhateeb, M. Z. Abdullah, and O. Sidek: “Digital Image Processing using CNN universal Machine”. Proc.  9th International Conference on Mechatronics Technology (ICMT 2005) 
  19. Jawad. H. AlKhateeb: “Computer Controlled Remote Meter Reading System”; The 3rd Scientific Conference on Computers and their Applications; Feb 11 – 13, 2001 Applied Science University; Amman Jordan.

  • Federation of Arab Engineers

  • Jordanian Engineers Association

Master Thesis Supervision

 

Najla Hamandi Alharbi, M.Sc., “Sentiment Analysis of Arabic Tweets Related to COVID-19 Using Deep Neural Network”. (Taibah University: Year: Spring 2021/2022).

 

Ehsan M. Owaidah,  M.Sc., “Gait Recognition for Saudi Costume Using Kinect Skeletal Tracking”.   (Taibah University: Year: Spring 2018/2019).

 

 

 

 

8/2022– Present

Prince Mohammad Bin Fahd University, Saudi Arabia

Assistant Professor, College of   Computer Engineering and Science

Department of Computer Engineering

9/2012 – 8/2022

Taibah University; Saudi Arabia

Assistant Professor, College of Science and Computer Engineering

Department of Computer Engineering

Vice Dean for Quality: College of Computer Science and Engineering (2017-2019)

Vice chairman of Computer Science Department (2013 -2015)

10/2010 –9/2012

AlZaytoonah University; Jordan

Assistant Professor, Faculty of Science and Information Technology:

Department of Multimedia Systems

9/2007 – 7/2008

Bradford Regional College; Bradford - UK

Lecturer; Computing and Software Engineering Department (Part time)

9/2006 – 2/2007

Philadelphia University; Jordan

Lecturer; Faculty of Information Technology: Software Engineering Dept.

9/2005 -9/2006

University Science Malaysia; Penang – Malaysia

PhD research student; School Electrical and Electronic Engineering

Area of Research:  Cellular Neural Networks

8/2001 – 8/2005

Ajman University of Science and Technology; (Abu Dhabi Campus), UAE

Lecturer; College of Engineering: Electrical Engineering Dept.

9/2000 – 9/2001

Ministry of Social Affairs, Labor and Vocational Training

Nizwa Technical Industrial College (NTIC), Nizwa – Oman

Lecturer, Electrical Engineering Department

9/1996– 9/2000

Applied Science University; Amman – Jordan

Instructor; College of Engineering (Promoted from Lecturer to Instructor)

Electrical and Computer Engineering Department

9/1993– 9/1996

Applied Science University; Amman – Jordan

Lecturer; College of Engineering

Electrical and Computer Engineering Department

 

 

 Prince Mohammad Bin Fahd University - Khobar; KSA 

Java Programming 1

Operating Systems

Digital Logic Design 

Circuit Analysis I

Introduction to Software Engineering

Taibah University - Madinah; KSA 

Computer Skills

Java Programming 1

C/C++ Programming

Computer Organization and Architecture 

Operating Systems

Computer Networks for Business

Computer Networks

Avanced Computer Networks (Master Students)

Computer Security

Computer Graphics

Computer Vision

Pattern Recognition

Analysis of Algorithm

Expert Systems

Multimedia Systems

Information Systems Strategy and Management

Supervising Master Thesis 

AlZaytoonah University – Jordan 

Computer Skills

Web Page Design using HTML

C/C++ Programming

Digital Logic Design 

Operating Systems

Digital Image Processing

System Analysis and Design

Computer Networks

Bradford Regional College - UK

Programming Principles 

Computer Networks

Philadelphia University - Jordan

Computer Skills

Real Time Systems

Ajman University of Science and Technology - UAE

C/C++ Programming and Lab

Circuit Analysis I

Digital Logic Design and Lab 

Digital System Design

Microprocessors and Lab 

Computer Communications  (Computer Networks) 

Engineering Management

Engineering Economy

Intelligent systems and Robotics

Digital Signal Processing

Nizwa Technical College - Oman

Electricity and Magnetism

Electrical Principles and Lab

Micro Electronic Systems

Engineering Science and  Lab 

Circuit Analysis I

Applied Science University - Jordan

Introduction to Computer 

FORTRAN Programming and Lab

C/C++ Programming and Lab

Assembly Language and Lab

Digital Logic Design and Lab

Microprocessors and Lab

Computer Architecture and Lab

Engineering Application 

 

 

 

  • Artificial Intellegence 
  • Pattern Recognition
  • Machine Learning
  • Deep Learning
  • Arabic OCR
  • IoT

Google Scholar

https://scholar.google.com/citations?hl=en&user=D1EV1c0AAAAJ