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 OverView
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Dr. Osama Dorgham is an Associate Professor of Computer Science with extensive experience in teaching and research. He earned his Ph.D. from the University of East Anglia in the UK and has served in various leading universities across the region, including Al-Balqa Applied University in Jordan and Skyline University in the UAE. His research interests focus on artificial intelligence, machine learning, image processing, and data analytics. Dr. Dorgham has contributed to numerous scientific publications and received several academic awards. He has also led curriculum development projects and supported Erasmus programs in academic research and development.
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 Research Intersets:
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machine learning, data analytics, image processing, cloud computing, healthcare systems optimization
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 Qualifications
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Degree
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University
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Specialization
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Graduation year
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| 1 | PHD | University of East Anglia | Computer Science | 2011 | | 2 | MASTER DEGREE | Al-Balqa Applied University | Computer Science | 2005 | | 3 | BACHELOR'S DEGREE | Princess Sumaya University for Technology | Computer Science | 2003 |
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 Experiences
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Academic Experience:
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 2022 -2024 :Associate Professor,Skyline University College,United Arab Emirates.
2014 -2015 :Postdoctoral Researcher,University of Santiago De Compostela,Spain.
2013 -2014 :Assistant Professor,Al-Baha University,Saudi Arabia.
2011 -Current :Associate Professor,Al-Balqa Applied University,Jordan.
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Administrative Experience:
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 2024 -Current :Dean, Prince Abdullah bin Ghazi Faculty of Information and Communication Technology.,Al-Balqa Applied University,Jordan.
2023 -2024 :Head of Trustees at Alkamal American International School,Alkamal American International School,United Arab Emirates.
2022 -2024 :Program Chair for the Masters Degree in Data Science,Skyline University College,United Arab Emirates.
2015 -2018 :Head of Computer Information Systems Department,Al-Balqa Applied University,Jordan.
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 Publications
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1- Feature-Optimized Machine Learning for High-Accuracy Ammunition Detection in X-Ray Security Screening ,International Journal of Advanced Computer Science and Applications(IJACSA), 2025,Vol. 16,no. 10.
2- Comprehensive evaluation of optimization algorithms for medical image segmentation ,Scientific Reports , 2025,Vol. ,no. .
3- Vision Transformers in Medical Imaging: a Comprehensive Review of Advancements and Applications Across Multiple Diseases ,Journal of Imaging Informatics in Medicine, 2025,Vol. ,no. .
4- Grasshopper Optimization Algorithm and Neural Network Classifier for Detection and Classification of Barley Leaf Diseases ,IEEE Open Journal of the Computer Society, 2024,Vol. 5,no. 1.
5- Applications of dynamic feature selection based on augmented white shark optimizer for medical diagnosis ,Expert Systems with Applications, 2024,Vol. 257,no. 1.
6- Quantitative and Qualitative Similarity Measure for Data Clustering Analysis ,Cluster Computing, 2024,Vol. 27,no. 1.
7- Tri-Level Robust Clustering Ensemble (TRCE) Algorithm for Clustering Enhancement with Comparative Analysis ,Engineered Science, 2024,Vol. 30,no. 1.
8- A hybrid machine learning model for classifying gene mutations in cancer using LSTM, BiLSTM, CNN, GRU, and GloVe ,Systems and Soft Computing, 2024,Vol. 6,no. 1.
9- Predicting Pandemic Fatality Based on Supervised Machine Learning Methods
,Engineered Science, 2024,Vol. 30,no. 1.
10- Framework for Enhanced Digital Image Transmission Security: Integrating Hu Moments, Digital Watermarking, and Cryptographic Hashing for Integrity Verification ,IEEE Xplore, 2024,Vol. ,no. .
11- Majority Voting Ensemble Classifier for Detecting Keylogging Attack on Internet of Things ,IEEE Access, 2024,Vol. 12,no. 1.
12- Advanced machine learning based exploration for predicting pandemic fatality: Oman dataset ,Informatics in Medicine Unlocked, 2023,Vol. 43,no. 1.
13- A machine learning approach to predict the parameters of COVID19 severity to improve the diagnosis protocol in Oman ,Discover Applied Sciences, 2023,Vol. 5,no. 1.
14- A hybrid convolutional neural network model for detection of diabetic retinopathy ,International Journal of Computer Applications in Technology, 2023,Vol. 70,no. 3.
15- Harris hawks optimization for COVID-19 diagnosis based on multithreshold image segmentation ,Neural Computing and Applications, 2022,Vol. 35,no. 1.
16- U-NetCTS: U-Net deep neural network for fully automatic segmentation of 3D CT DICOM volume ,Smart Health, 2022,Vol. 26,no. 1.
17- Monarch butterfly optimization algorithm for computed tomography image segmentation ,Multimedia Tools and Applications, 2021,Vol. 80,no. 1.
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 University Courses Taught
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1- Big Data Analytics.
2- Digital Image Processing.
3- Data Structures and Algorithms.
4- Artificial Intelligence.
5- Machine Learning.
6- Human Computer Interaction.
7- Parallel Processing.
8- Geographic Information Systems.
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 Master and Phd thesis contributions
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Thesis Supervision
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Land Price Prediction Using Machine Learning Algorithms: A case study on Al-Abdali, Amman, Jordan ,Al-Balqa Applied University,Master Thesis,2023.
Prediction of Cyber Attacks on the Cloud Computing Services for Big Data Applications ,Al-Balqa Applied University,Master Thesis,2023.
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Thesis Defense Committee Membership
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Improved Arithmetic Optimization Algorithm for Malware Detection ,Yarmouk University,Master Thesis,2024.
Developing a Hybrid Deep Learning Technique to Create a Natural Language Interface to Databases ,Princess Sumaya University for Technology,Master Thesis,2021.
Feature Selection Problem Based on Black Widow Optimization Algorithm ,Al-Balqa Applied University,Master Thesis,2021.
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 Projects
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Automatic Body Segmentation for Computed Tomography Images Using Deep Learning ,Al-Balqa Applied University,2019/05-2020/02.
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 Conferences and Workshops
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Conference/Workshop Name
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Conference/Workshop Place
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Conference/Workshop Date
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| 1 | 2nd International Conference on Cyber Resilience (ICCR) | United Arab Emirates | 2024/02 |
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 Patents
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A deep learning-based System for Personalized Advertisements ,Deutsches Patent -und Markenamt.
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 Refrences
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Dr. Javier V?zquez Corral-Universitat Aut`onoma de Barcelona ,javier.vazquez@cvc.uab.cat.
Prof. Dr. Stephen Laycock-University of East Anglia ,S.Laycock@uea.ac.uk.
Dr. Safwan Wshah-University of Vermont ,Safwan.Wshah@uvm.edu.
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