University of Anbar - Ahmed J. Aljaaf

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Ahmed J. Aljaaf (Assistant Professor)

PhD in Intelligent Computing
Director of the Official Website Division
Artificial Intelligence - Computer Sciences and IT
a.j.aljaaf@uoanbar.edu.iq

Biography

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Publication

Journal Publications <ol> <li>Ahmed J. Aljaaf, Libby Van Tonder, Conor Mallucci, Dhiya Al-Jumeily, Abir Hussain, Mohamed Alloghani. "Patients Attitude to Technology - A Way to Improve Hydrocephalus Management and Follow up Using Smartphone Intelligent Application", The Journal of Medical Systems 43(9): 295:1-295:7 (2019) (<a href="https://link.springer.com/article/10.1007/s10916-019-1420-4" target="_blank">Link</a>)</li> <li>Mohamed Alloghani, Ahmed J. Aljaaf, Abir Hussain, Thar Baker, Jamila Mustafina, Dhiya Al-Jumeily, Mohammed Khalaf. "Implementation of machine learning algorithms to create diabetic patient re-admission profiles", BMC Medical Informatics and Decision Making 19, 253 (2019). https://doi.org/10.1186/s12911-019-0990-x. (<a href="https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-019-0990-x" target="_blank">Link</a>)</li> <li>Mohamed Alloghani, Mohammed M. Alani, Dhiya Al-Jumeily, Thar Baker, Jamila Mustafina, Abir Hussain, Ahmed J. Aljaaf. "A systematic review on the status and progress of homomorphic encryption technologies", Journal of Information Security and Applications, Volume 48,2019, https://doi.org/10.1016/j.jisa.2019.102362.(<a href="http://www.sciencedirect.com/science/article/abs/pii/S2214212618306057" target="_blank">Link</a>)</li> <li>Abir Hussain, Dhiya Al-Jumeily, Ahmed J. Aljaaf and N. Radi, "Backpropagation Approach Supported by Image Compression Algorithm for the Classification of Chronic Condition Diseases," in IEEE/ACM Transactions on Computational Biology and Bioinformatics. doi: 10.1109/TCBB.2018.2878556.(<a href="http://ieeexplore.ieee.org/document/8514810" target="_blank">Link</a>)</li> <li>Paul Fergus, Abir J. Hussain, John Hearty, Stuart Fairclough, Lynne Boddy, Kelly Mackintosh, Gareth Stratton, Nicky Ridgers, Dhiya Al-Jumeily, Ahmed J. Aljaaf, Jenet Lunn, "A machine learning approach to measure and monitor physical activity in children", Neurocomputing, Volume 228 (2017), Pages 220-230 (<a href="https://www.sciencedirect.com/science/article/abs/pii/S0925231216312656?via%3Dihub" target="_blank">Link</a>)</li> <li>K Abdel-Aziz, P Riding, S Woodham, J Blanco Rey, S Maddocks, L Wainwright, A Aljaaf, D Al-Jumeily, A Hussain, M Al-Jumaily & P Fergus . "EHMTI-0276. A novel mobile health application for patients with chronic headache", The Journal of Headache and Pain 15, D1 (2014). https://doi.org/10.1186/1129-2377-15-S1-D1 (<a href="https://thejournalofheadacheandpain.biomedcentral.com/articles/10.1186/1129-2377-15-S1-D1#citeas" target="_blank">Link</a>)</li> </ol> Conference Proceedings <ol> <li> H. Alsmadi, A. J. Aljaaf, A. Hussain, J. Mutafina, R. Al-Jumeily, T. Baker, C. Mallucci, "An Insight into ICP Monitoring of Patients with Hydrocephalus using Data Science Approach," 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA), Abu Dhabi, United Arab Emirates, 2019, pp. 1-2. (<a href="https://ieeexplore.ieee.org/document/9035356" target="_blank">Link</a>)</li> <li>M. Alloghani, A. J. Aljaaf, D. Al-Jumeily, A. Hussain, C. Mallucci and J. Mustafina, "Data Science to Improve Patient Management System," 2018 11th International Conference on Developments in eSystems Engineering (DeSE), Cambridge, United Kingdom, 2018, pp. 27-30. (<a href="https://ieeexplore.ieee.org/document/8648612" target="_blank">Link</a>)</li> <li>A. J. Aljaaf et al., "H-Diary: Mobile Application for Headache Diary and Remote Patient Monitoring," 2018 11th International Conference on Developments in eSystems Engineering (DeSE), Cambridge, United Kingdom, 2018, pp. 18-22. (<a href="https://ieeexplore.ieee.org/document/8648614" target="_blank">Link</a>)</li> <li>A. J. Aljaaf et al., "Early Prediction of Chronic Kidney Disease Using Machine Learning Supported by Predictive Analytics," 2018 IEEE Congress on Evolutionary Computation (CEC), Rio de Janeiro, 2018, pp. 1-9. (<a href="https://ieeexplore.ieee.org/document/8477876" target="_blank">Link</a>)</li> <li>Ameer A. Jebur, Dhiya Al-Jumeily, Ahmed J. Aljaaf, Khalid R. Aljanabi, Rafid M. Al Khaddar, William Atherton, Zeinab I. Alattar, Adel H. Majeed, Jamila Mustafina, "A Novel Artificial Neural Network Scheme for Modelling of Nonlinear Soil Stress-Strain Modulus Exponent," 2018 1st Annual International Conference on Information and Sciences (AiCIS), Fallujah, Iraq, 2018, pp. 62-69 (<a href="https://ieeexplore.ieee.org/document/8640935" target="_blank">Link</a>)</li> <li>M. Alloghani, A. Hussain, D. Al-Jumeily, A. J. Aljaaf, and J. Mustafina. 2017. Gamification in e-Governance: Development of an Online Gamified System to Enhance Government Entities Services Delivery and Promote Public’s Awareness. In Proceedings of the 5th International Conference on Information and Education Technology (ICIET ’17). Association for Computing Machinery, New York, NY, USA, 176–181. DOI:https://doi.org/10.1145/3029387.3029388 (<a href="https://dl.acm.org/doi/10.1145/3029387.3029388" target="_blank">Link</a>)</li> <li>A. J. Aljaaf, A. J. Hussain, P. Fergus, A. Przybyla and G. J. Barton, "Evaluation of machine learning methods to predict knee loading from the movement of body segments," 2016 International Joint Conference on Neural Networks (IJCNN), Vancouver, BC, 2016, pp. 5168-5173 (<a href="https://ieeexplore.ieee.org/document/7727882" target="_blank">Link</a>)</li> <li>A. J. Aljaaf, D. Al-Jumeily, A. J. Hussain, T. Dawson, P. Fergus and M. Al-Jumaily, "Predicting the likelihood of heart failure with a multi level risk assessment using decision tree," 2015 Third International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), Beirut, 2015, pp. 101-106 (<a href="https://ieeexplore.ieee.org/document/7113608" target="_blank">Link</a>)</li> <li>A. J. Aljaaf, D. Al-Jumeily, A. J. Hussain, P. Fergus, M. Al-Jumaily and K. Abdel-Aziz, "Toward an optimal use of artificial intelligence techniques within a clinical decision support system," 2015 Science and Information Conference (SAI), London, 2015, pp. 548-554 (<a href="https://ieeexplore.ieee.org/document/7237196" target="_blank">Link</a>)</li> </ol> Book Chapters <ol> <li>Alloghani M., Baker T., Al-Jumeily D., Hussain A., Mustafina J., Aljaaf A.J. (2020) Prospects of Machine and Deep Learning in Analysis of Vital Signs for the Improvement of Healthcare Services. In: Yang XS., He XS. (eds) Nature-Inspired Computation in Data Mining and Machine Learning. Studies in Computational Intelligence, vol 855. Springer, Cham (<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-28553-1_6" target="_blank">Link</a>)</li> <li>Alloghani M., Al-Jumeily D., Aljaaf A.J., Khalaf M., Mustafina J., Tan S.Y. (2020) The Application of Artificial Intelligence Technology in Healthcare: A Systematic Review. In: Khalaf M., Al-Jumeily D., Lisitsa A. (eds) Applied Computing to Support Industry: Innovation and Technology. ACRIT 2019. Communications in Computer and Information Science, vol 1174. Springer, Cham (<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-38752-5_20" target="_blank">Link</a>)</li> <li>Aljaaf A.J., Mallucci C., Al-Jumeily D., Hussain A., Alloghani M., Mustafina J. (2018) A Study of Data Classification and Selection Techniques to Diagnose Headache Patients. In: Alani M., Tawfik H., Saeed M., Anya O. (eds) Applications of Big Data Analytics. Springer, Cham (<a href="https://link.springer.com/chapter/10.1007%2F978-3-319-76472-6_6" target="_blank">Link</a>)</li> <li>Keight R., Aljaaf A.J., Al-Jumeily D., Hussain A.J., Özge A., Mallucci C. (2017) An Intelligent Systems Approach to Primary Headache Diagnosis. In: Huang DS., Jo KH., Figueroa-García J. (eds) Intelligent Computing Theories and Application. ICIC 2017. Lecture Notes in Computer Science, vol 10362. Springer, Cham (<a href="https://link.springer.com/chapter/10.1007%2F978-3-319-63312-1_6" target="_blank">Link</a>)  </li> </ol>

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