Omar A. Alzubi
Al-Balqa Applied University, New York Institution of Technology
Research areas: Computer Science · Computer Networks and Communications · Network Security and Intrusion Detection · Error Correcting Code Techniques · Coding theory and cryptography
0000-0001-9986-1123
About
Professor Omar A. Alzubi received his BSc degree from the University of Jordan, Jordan. He obtained his MSc degree with distinction in computer and network security from the New York Institute of Technology, New York, USA, in 2006. In 2013, he received his Ph.D. degree in computer and network security from Swansea University, Swansea, UK. Currently, he is a professor in the Computer Science Department at Al-Balqa Applied University, Jordan. Prof. Alzubi's research interests include computer and network security, machine learning, and cryptography. His cumulative research experience over the past ten years has resulted in the publication of more than thirty articles in highly influential journals. Dr. Alzubi is the vice dean of the Prince Abdullah Bin Ghazi Faculty of Information and Communication Technology. In addition, he is an editorial board member and reviewer of many prestigious journals in the computer science field.
Employment
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Al-Balqa Applied University Director of Computer Center2022 - Present
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Al-Balqa' Applied University Professor2013 - 2022
Education
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New York Institution of Technology Master student2005 - 2006
Projects & Funding
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Internet of Things Intrusion Detection: A Machine Learning Approach Al-Balqa Applied University2021 - 2022
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Android Malware Detection Al-Balqa Applied University2020 - 2022
Publications (57)
- DiffuseFit: Shape-guided warping and limb-aware diffusion synthesis for occlusion-resilient and semantically consistent virtual try-on Save
- SP-DTH5: Consumer-Centric Secure Digital Twins for Healthcare 5.0 Save
- Securing Next-Generation Connected Healthcare: A Privacy-Preserving Explainable AI Framework for Consumer Electronics Save
- An intelligent cyber threat detection: A swarm-optimized machine learning approach Save
- A Multimodal Human-Computer Interaction for Smart Learning System Save
- An IoT Intrusion Detection Approach Based on Salp Swarm and Artificial Neural Network Save
- A Blended Deep Learning Intrusion Detection Framework for Consumable Edge-Centric IoMT Industry Save
- Grasshopper Optimization Algorithm and Neural Network Classifier for Detection and Classification of Barley Leaf Diseases Save
- Battery management solutions for li-ion batteries based on artificial intelligence Save
- Fusion of deep learning based cyberattack detection and classification model for intelligent systems Save
- Design of cost-based sizing and energy management framework for standalone microgrid using reinforcement learning Save
- Cloud-IIoT-Based Electronic Health Record Privacy-Preserving by CNN and Blockchain-Enabled Federated Learning Save
- Memory based hybrid crow search algorithm for solving numerical and constrained global optimization problems Save
- Quantum Mayfly Optimization with Encoder-Decoder Driven LSTM Networks for Malware Detection and Classification Model Save
- Intrusion detection for the internet of things (IoT) based on the emperor penguin colony optimization algorithm Save
- Optimized Machine Learning-Based Intrusion Detection System for Fog and Edge Computing Environment Save
- Quantum readout and gradient deep learning model for secure and sustainable data access in IWSN Save
- A deep learning- based frechet and dirichlet model for intrusion detection in IWSN Save
- Distracted driver detection using compressed energy efficient convolutional neural network Save
- A novel automated essay scoring approach for reliable higher educational assessments Save