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OverView
Research Intersets
Qualifications
Experiences
Publications
University Courses Taught
Master and Phd thesis contributions
Projects
Journals Editor/ Reviewer
Refrences
Prof. Omar Ahmed Abed Alzubi
Professor Omar A. Alzubi
PROFESSOR
FACULTY OF ARTIFICIAL INTELLIGENCE
https://www.bau.edu.jo/@o.zubi
 Major: Computer Science
 Minor: Cyber Security
 o.zubi@bau.edu.jo
 00962772623532
عربي
ORCID ID: 0000-0001-9986-1123
WoS: http://www.webofscience.com/wos/author/record/G-7739-2017
Scopus Author ID: 50460949000
Scopus Link: https://www.scopus.com/authid/detail.uri?authorId=50460949000
Researcher ID: 7568
Google Scholar: https://scholar.google.com/citations?user=ergFOV4AAAAJ&hl=en

OverView
I work and conduct research in the interdisciplinary fields that include but are not limited to machine learning, network security, the Internet of Things, wireless sensor networks, and cryptography. I managed and directed many projects funded by Al-Balqa Applied University. A cumulative research experience of over ten years resulted in the publication of more than fifty papers in highly impacted journals. Currently, I am serving as an academic editor for PLOS One Journal as well as a reviewer for many prestigious and reputable journals.

Research Intersets:
Cyber Security
Machine Learning
Computer Networks
Quantum Computing

Qualifications
# Degree University Specialization Graduation year
1PHDSwansea UniversityComputer Science2013
2MASTER DEGREENew York Institute of TechnologyComputer Science2006
3BACHELOR'S DEGREEUniversity of JordanScience1990

Experiences
Academic Experience:
2021 -2022 :Vice Dean,Al-Balqa Applied University\ Prince Abdullah Bin Ghazi Faculty of Information and Communication Technology,Jordan.

Administrative Experience:
2022 -Current :Computer Center Director,Al-Balqa Applied University\ Computer Center,Jordan.

Publications
1- A blockchain-enabled security management framework for mobile edge computing ,The International Journal of Network Management, 2023,Vol. 33,no. 5.
2- Fusion of deep learning based cyberattack detection and classification model for intelligent systems ,Cluster Computing, 2023,Vol. 26,no. 3.
3- Intrusion detection for the internet of things (IoT) based on the emperor penguin colony optimization algorithm ,Journal of Ambient Intelligence and Humanized Computing, 2023,Vol. 14,no. 2.
4- Design of cost-based sizing and energy management framework for standalone microgrid using reinforcement learning ,Solar Energy, 2023,Vol. 251,no. 1.
5- Quantum Mayfly Optimization with Encoder-Decoder Driven LSTM Networks for Malware Detection and Classification Model ,Mobile Networks and Applications, 2023,Vol. 15,no. 2.
6- Cloud-IIoT Based Electronic Health Record Privacy-Preserving by CNN and Blockchain-Enabled Federated Learning ,IEEE Transactions on Industrial Informatics, 2023,Vol. 19,no. 1.
7- Optimized Machine Learning-Based Intrusion Detection System for Fog and Edge Computing Environment ,Electronics , 2022,Vol. 11,no. 19.
8- A task-based model for minimizing energy consumption in WSNs ,Energy Systems, 2022,Vol. 13,no. 1.
9-  An efficient malware detection approach with feature weighting based on Harris Hawks optimization ,Cluster Computing, 2022,Vol. 25,no. 1.
10- Quantum readout and gradient deep learning model for secure and sustainable data access in IWSN ,PeerJ Computer Science, 2022,Vol. 8,no. 2.
11- Optimal multiple key?based homomorphic encryption with deep neural networks to secure medical data transmission and diagnosis ,Expert Systems, 2022,Vol. 39,no. 4.
12- A deep learning- based frechet and dirichlet model for intrusion detection in IWSN ,Journal of Intelligent and Fuzzy Systems, 2022,Vol. 42,no. 2.
13- Distracted driver detection using compressed energy efficient convolutional neural network ,Journal of Intelligent and Fuzzy Systems, 2022,Vol. 42,no. 2.
14- A novel automated essay scoring approach for reliable higher educational assessments ,Journal of Computing in Higher Education, 2021,Vol. 33,no. 3.
15- Blockchain and artificial intelligence enabled privacy-preserving medical data transmission in Internet of Things ,Transactions on Emerging Telecommunications Technologies, 2021,Vol. 32,no. 12.

University Courses Taught
1- Computer Security.
2- Coding Theory.
3- Principles of Computer Networks.
4- Discrete mathematics and Structures.

Master and Phd thesis contributions
Thesis Supervision
A Swarm based Model for Solving Intrusion Detection Problem ,Al-Balqa Applied University,Master Thesis,2022.
An Artificial Intelligence Based Model for the Detection and Protection of Sensitive Information ,Al-Balqa Applied University,Master Thesis,2022.
Securing Private Data by Honey Encryption and Edwards Curves ,Al-Balqa Applied University,Master Thesis,2021.
Secure Framework for IoT ,Al-Balqa Applied University,Master Thesis,2019.

Projects
Android Malware Detection ,Al-Balqa Applied University,2020/07-2022/10.

Journals Editor/ Reviewer
Editors
PLOS One.
Review:
IEEE Access.

Refrences
Prof. Dr. Stefano Taccheo-Swansea University ,ccheo@swansea.ac.uk.
Prof. Dr. Najad Al-Nejdawi-Al-Balqa Applied University ,n.al-najdawi@bau.edu.jo.


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