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Dr. Osama Dorgham

Dr. Osama Dorgham

Associate Professor

  • Ph.D. In Computing Sciences, University of East Anglia, United Kingdom, 2011.
  • MSc. In Computer Science, Al-Balqa Applied University, Jordan, 2005.
  • BSc. In Computer Science, Princess Sumaya University, Jordan, 2003.
  • Associate Professor, School of Information Technology, Skyline University, Sharjah, United Arab Emirates, 2022 – Now.
  • Associate Professor, Al-Balqa Applied University, Department of Computer Science, Prince Abdullah Bin Ghazi Faculty of Information Technology, Al-Balqa Applied University, Al Salt, Jordan. 2011 – 2022.
  • Postdoctoral Researcher, Centro Singular de Investigación en Tecnoloxías da Información, University of Santiago De Compostela, Santiago De Compostela, Spain, 2014 – 2015
  • Assistant Professor, Department of Management Information Systems, Faculty of Management, Al-Baha University, Al Baha, Saudi Arabia, 2013-2014.
  • Dorgham, Osama M., Laycock, S. D., & Fisher, M. H. (2012). GPU accelerated generation of digitally reconstructed radiographs for 2-D/3-D image registration. IEEE Transactions on Biomedical Engineering, 59(9), 2594–2603.
  • Dorgham, Osama. (2008). Performance of a 2D-3D image registration system using (lossy) compressed x-ray CT. Annals of the BMVA Vol, 2008(3), 1–11.
  • Dorgham, Osama. (2010). High speed 2D/3D medical image registration. University of East Anglia.
  • Fisher, M., Dorgham, O., & Laycock, S. D. (2013). Fast reconstructed radiographs from octree-compressed volumetric data. International Journal of Computer Assisted Radiology and Surgery, 8, 313–322.
  • Al-Najdawi, N., Tedmori, S., Alzubi, O. A., Dorgham, O., & Alzubi, J. A. (2016). A frequency based hierarchical fast search block matching algorithm for fast video communication. International Journal of Advanced Computer Science and Applications, 7(4).
  • Dorgham, Osama, Fisher, M., Laycock, S., Vinall, A. J., & Holmes-Smith, W. (2010). Fast 2D/3D image registration using accelerated generation of sparsely rendered digitally reconstructed radiographs. International Journal of Computer Assisted Radiology and Surgery, 5(S1), S68.
  • Dorgham, Osama, & Fisher, M. (2009). Improving the performance of 2D/3D medical image registration using lossy compressed data.
  • Al-Hunaity, M. F., Alshaer, J., Dorgham, O., & Farraj, H. (2015). Security model for communication and exchanging data in mobile cloud computing. International Journal of Computer Trends and Technology, 30(3), 138–146.
  • Dorgham, O., Abu Rass, S., & Alkhraisat, H. (2017). Improved Elderly Fall Detection by Surveillance Video using Real-Time Human Motion Analysis. International Journal of Soft Computing, 12(4), 253–262.
  • Dorgham, Osama M. (2017). Automatic body segmentation from computed tomography image. IEEE.
  • d Rasoul A. Al-Hadidi, M., Dorgham, O., & Razouq, R. S. (2016). PNEUMONIA IDENTIFICATION USING ORGANIZING MAP ALGORITHM. Journal of Engineering and Applied Sciences, 11(5).
  • Dorgham, Osama, Al-Rahamneh, B., Almomani, A., & Khatatneh, K. F. (2018). Enhancing the security of exchanging and storing DICOM medical images on the cloud. International Journal of Cloud Applications and Computing (IJCAC), 8(1), 154–172.
  • Mustafa, Z., Alshaer, J. J., Dorgham, O., & Bani-Ahmad, S. (2016). Communication-Load Impact on the Performance of Processor Allocation Strategies in 2-D Mesh Multicomputer Systems. International Journal of Advanced Computer Science and Applications, 7(3).
  • Al-Hadidi, M. R., Dorgham, O., & Razouq, R. S. (2016). Pneumonia Identification using Organizing Map Algorithm. ARPN Journal of Engineering and Applied Sciences, 11(5), 3427–3434.
  • Almomani, A., Alauthman, M., Albalas, F., Dorgham, O., & Obeidat, A. (2020). An online intrusion detection system to cloud computing based on NeuCube algorithms. In Cognitive Analytics: Concepts, Methodologies, Tools, and Applications (pp. 1042–1059). IGI global.
  • Almomani, A., Dorgham, O. M., Alauthman, M., Al-Refai, M., & Aslam, N. (2018). Botnet Behavior and Detection Techniques: A Review. Computer and Cyber Security: Principles, Algorithm, Applications, and Perspectives, 223.
  • Almomani, A., Alauthman, M., Alweshah, M., Dorgham, O., & Albalas, F. (2019). A comparative study on spiking neural network encoding schema: implemented with cloud computing. Cluster Computing, 22, 419–433.
  • Dorgham, Osama, Al-Mherat, I., Al-Shaer, J., Bani-Ahmad, S., & Laycock, S. (2019). Smart system for prediction of accurate surface electromyography signals using an artificial neural network. Future Internet, 11(1), 25.
  • Dorgham, Osama, Nasser, M. A., Ryalat, M. H., & Almomani, A. (2018). Proposed Method for Automatic Segmentation of Medical Images. IEEE.
  • Alweshah, M., Al-Sendah, M., Dorgham, O. M., Al-Momani, A., & Tedmori, S. (2020). Improved water cycle algorithm with probabilistic neural network to solve classification problems. Cluster Computing, 23, 2703–2718.
  • Alzubi, O. A., Alzubi, J. A., Dorgham, O., & Alsayyed, M. (2020). Cryptosystem design based on Hermitian curves for IoT security. The Journal of Supercomputing, 76, 8566–8589.
  • Wedyan, M., Al-Jumaily, A., & Dorgham, O. (2020). The Use of Augmented Reality in the Diagnosis and Treatment of Autistic Children: a Review and a New System. Multimedia Tools and Applications, 79(25), 18245–18291.
  • Alauthman, M., Aslam, N., Dorgham, O., & Al-Refai, M. (n.d.). BOTNET BEHAVIOUR AND DETECTION TECHNIQUES: AReview.
  • Dorgham, O., Ryalat, M. H., & Naser, M. A. (2020). Automatic Body Segmentation for Accelerated Rendering of Digitally Reconstructed Radiograph Images. Informatics in Medicine Unlocked, 20, 100375.
  • Alweshah, M., Alkhalaileh, S., Albashish, D., Mafarja, M., Bsoul, Q., & Dorgham, O. (2021). A hybrid mine blast algorithm for feature selection problems. Soft Computing, 25, 517–534.
  • Dorgham, Osama, Fisher, M., Laycock, S., & Vinall, A. (n.d.). Fast 2D/3D Image Registration using Accelerated Generation of Digitally Reconstructed Radiographs with Automatic Selection of Region of Interest.
  • Dorgham, O. M., Alweshah, M., Ryalat, M. H., Alshaer, J., Khader, M., & Alkhalaileh, S. (2021). Monarch Butterfly Optimization Algorithm for Computed Tomography Image Segmentation. Multimedia Tools and Applications, 80(20), 1–34.
  • Wedyan, M., Adel, A.-J., & Dorgham, O. (n.d.). The use of augmented reality in the diagnosis and treatment of autistic children: a review and a proposed system.
  • Dorgham, O., Naser, M. A., Ryalat, M. H., Hyari, A., Al-Najdawi, N., & Mirjalili, S. (2022). U-NetCTS: U-Net deep neural network for fully automatic segmentation of 3D CT DICOM volume. Smart Health, 26, 100304.
  • Dorgham, O., Naser, M. A., Ryalat, M. H., Hyari, A., Al-Najdawi, N., & Mirjalili, S. (n.d.). Smart Health.
  • Ryalat, M. H., Dorgham, O., Tedmori, S., Al-Rahamneh, Z., Al-Najdawi, N., & Mirjalili, S. (2023). Harris hawks optimization for COVID-19 diagnosis based on multi-threshold image segmentation. Neural Computing and Applications, 35(9), 6855–6873.
  • Alshawabkeh, M., Ryalat, M. H., Dorgham, O. M., Alkharabsheh, K., Btoush, M. H., & Alazab, M. (2022). A hybrid convolutional neural network model for detection of diabetic retinopathy. International Journal of Computer Applications in Technology, 70(3–4), 179–196.
  • Dorgham, Osama, & Fisher, M. (2008). Performance of 2D/3D medical image registration using compressed volumetric data.
  • Dorgham, Osama, Fisher, M., & Laycock, S. (2009b). Accelerated generation of digitally reconstructed radiographs using parallel processing.
  • Dorgham, Osama, Fisher, M., & Laycock, S. (2009a). Accelerated generation of digitally reconstructed radiographs for 2D/3D medical image registration. Proceedings of PgBiomed.