الملف الأكاديمي

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Research Intersets
Qualifications
Publications
Dr. Hazem Mohammad Awad Al_Najjar
ASSISTANT PROFESSOR
FACULTY OF ENGINEERING
https://www.bau.edu.jo/@hazem.alnajjar
 Major: Computer engineering
 Minor: Computer Engineering / AI
 hazem.alnajjar@bau.edu.jo
 0000000000
عربي
ORCID ID: https://orcid.org/0000-0002-6143-2734
WoS: https://www.webofscience.com/wos/author/record/AAG-2854-2021
Scopus Author ID: 49862800400
Scopus Link: https://www.scopus.com/authid/detail.uri?authorId=57216258185
Researcher ID: non
Google Scholar: https://scholar.google.com/citations?hl=en&user=b81CPGAAAAAJ&view_op=list_works&gmla=AH8HC4wCRzhkATfVTkuWX4z8oGmN1XgSYWs4YFETzxwjTqseugQaReGGgNnfvuS3pfYVAMpbdXmU2FyR3R82l7c6

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Dr. Hazem Al-Najjar is an Assistant Professor in the Department of Computer Engineering at Al-Balqa Applied University. He earned his Ph.D. in Computer Engineering from Universiti Sains Malaysia (USM) in 2018 with honors, where his research focused on distributed computing and job scheduling algorithms for grid environments


Dr. Al-Najjar has over 12 years of academic and research experience across several international institutions, including the University of Petra, Istanbul Gelisim University, Luminus University College, Nizwa University, Jouf University, Misurata University, and Taibah University


. His multidisciplinary expertise spans Artificial Intelligence (AI), Machine Learning, Cybersecurity, Data Analytics, Cloud Computing, Image Processing, Bioinformatics, and Wireless Sensor Networks.

He has co-authored more than 35 peer-reviewed papers published in leading ISI and Scopus-indexed journals, covering topics such as AI applications, smart-grid scheduling, image encryption, and intelligent financial analytics

Beyond his research output, Dr. Al-Najjar has contributed significantly to academic program development, including the establishment of cybersecurity and network engineering departments at Misurata University (Libya) and Nizwa University (Oman)

. He also serves as a reviewer and editorial board member for several international journals and conferences in AI, computing, and information systems.

Driven by his passion for innovation and applied research, Dr. Al-Najjar continues to explore cutting-edge applications of AI and data science for solving real-world challenges in digital analytics, sustainable technologies, and intelligent systems.

Research Intersets:
Artificial Intelligence (AI) and its applications in intelligent and digital systems.

Machine Learning (ML) and Deep Learning (DL) for predictive modeling and decision-making.

Information and Cybersecurity, including data encryption and chaos-based security models.

Data Analytics and Digital Analytics for technological, financial, and medical domains.

Cloud Computing and Distributed/Grid Computing, with emphasis on job scheduling and performance optimization.
Digital Image Processing and Image Encryption using mathematical and AI-driven approaches.
Wireless Sensor Networks (WSN) security and optimization in distributed and environmental applications.
Internet of Things (IoT) integration with AI for smart systems and real-time monitoring.
Bioinformatics and medical data analysis using AI and statistical models.
Intelligent and Sustainable Systems, focusing on renewable energy, smart grids, and agriculture.

Qualifications
# Degree University Specialization Graduation year
1PHDUniversiti Sains Malaysiacomputer engineering2018
2MASTER DEGREEJordan University of Science and Technologycomputer engineering2011
3BACHELOR'S DEGREEYarmouk Universitycomputer enigneering2008

Publications
1- Machine learning models to predict desktop activity recognition based on low-point gaze features ,array, 2025,Vol. ,no. .


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