Dr. Dina Ahmed Salem is an Associate Professor and Head of Computer and Software Engineering at Misr University for Science and Technology (MUST), Egypt, with over 20 years of academic and research experience. Her work focuses on Artificial Intelligence, Machine Learning, Transfer Learning, and Bioinformatics, particularly in applying intelligent techniques to biomedical and healthcare problems. She holds a Ph.D. in Systems and Biomedical Engineering from Cairo University and has a strong record of research contributions in interdisciplinary areas combining AI and medical applications. Dr. Salem is actively engaged in graduate supervision and serves as a reviewer for several reputable international journals, reflecting her commitment to advancing research and scholarly excellence.

• Bioinformatics
• Artificial Intelligence
• Medical Data Analysis
• Pattern Recognition

• Salem D.A., Seoud R.A.A.A., Ali H.A., DMCA: A combined data mining technique for improving microarray data classification accuracy, International Proceedings of Chemical, Biological and Environmental Engineering (IPCBEE), October 2011.
• Salem D.A., Seoud R.A.A.A., Ali H.A., A new gene selection technique based on hybrid methods for cancer classification using microarrays, International Journal of Bioscience, Biochemistry and Bioinformatics, 1(4): 261–266, November 2011.
• Salem D.A., Seoud R.A.A., Ali H.A., MGS-CM: A multiple scoring gene selection technique for cancer classification using microarrays, International Journal of Computer Applications, 36(6): 30–37, December 2011.
• Salem D.A., Seoud R.A.A.A., AbulSeoud H.A., Ali H.A., K5: Merging genetic algorithm with different classifiers for cancer classification using microarrays, 29th National Radio Science Conference (NRSC), Cairo, April 2012.
• Salem D.A., Seoud R.A.A.A., Kadah Y.M., Conformational B-cell epitopes classification using machine learning techniques, Journal of Engineering and Applied Science, 60(3): 343–359, June 2013.
• Salem D.A., Seoud R.A.A., Kadah Y.M., Prediction of binding peptides to class I MHC using modified scoring matrices and data splitting strategies, Biocybernetics and Biomedical Engineering, 36(3): 509–520, January 2016.
• Salem D.A., Seoud R.A.A., Kadah Y.M., Robust classification of MHC Class II peptides, Journal of Medical Imaging and Health Informatics, 6(3): 598–608, June 2016.
• Youssef A.R., Ragab A.A., Sadek A.M., Korany S.M., Youssef A.G., Ibrahim A., Aboelseoud R., Salem D.A., Cancer classification using data mining applications, Second International Undergraduate Research Conference (IUGRC), Military Technical College, Cairo, July 2017.
• Ibrahim M., Salem D., Seoud R.A., Deep learning hybrid with binary dragonfly feature selection for the Wisconsin breast cancer dataset, International Journal of Advanced Computer Science and Applications (IJACSA), 12(3): 114–122, March 2021. DOI: 10.14569/IJACSA.2021.0120314.
• Shazly K., Salem D.A., Hammami N., ElSeddawy A.I.B., A review on distributed denial of service detection in software defined networks, International Journal of Wireless and Ad Hoc Communication (IJWAC), 5(2): 8–18, 2022. DOI: 10.54216/IJWAC.050201.
• Talaat F.M., Ibrahim A., El-Kenawy E.-S.M., Abdelhamid A.A., Alhussan A.A., Khafaga D.S., Salem D.A., Route planning for autonomous mobile robots using reinforcement learning algorithm, Actuators, 12(1): 12, December 2022. https://doi.org/10.3390/act12010012.
• Salem D.A., University examination timetable scheduling using constructive heuristic compared to genetic algorithm, Fayoum University Journal of Engineering, 6(1): 39–46, January 2023. DOI: 10.21608/fuje.2022.157195.1018.
• Salem D.A., Hashem E.M., Impact of data pre-processing on COVID-19 diagnosis using machine learning algorithms, International Journal of Intelligent Systems and Applications in Engineering, 11(1s): 164–171, January 2023. https://www.ijisae.org/index.php/IJISAE/article/view/2489.
• Salem D.A., Breast cancer patients using mobile applications: An automated biomedical literature curation model (BLCM), Sixth International Conference of Women in Data Science (WiDS PSU), Prince Sultan University, Riyadh, Saudi Arabia, March 2023.
• Hassan N.A.A., Seoud R.A.A.A., Salem D.A., Open information extraction methodology for a new curated biomedical literature dataset, International Journal of Advanced Computer Science and Applications (IJACSA), 14(7): 758–766, July 2023. DOI: 10.14569/IJACSA.2023.0140783.
• Salem D.A., Hassan N.A., Hamdy R.M., Impact of transfer learning compared to convolutional neural networks on fruit detection, Journal of Intelligent & Fuzzy Systems, 46(4): 7791–7803, April 2024. https://doi.org/10.3233/JIFS-233514.
• Marey M., Salem D., Rashidy N.E., ELBakry H., Enhancing the diagnosis of depression and anxiety through explainable machine learning methods, International Journal of Advanced Computer Science and Applications (IJACSA), 15(4): 787–796, April 2024. http://dx.doi.org/10.14569/IJACSA.2024.0150481.
• Hashem E., Salem D., Transfer learning and machine learning with MRI radiomics for Alzheimer’s disease diagnosis, 41st National Radio Science Conference (NRSC 2024), New Damietta, Egypt, May 2024.
• Salem D.A., Waleed M., Drowsiness detection in real-time via convolutional neural networks and transfer learning, Journal of Engineering and Applied Science, 71(122): 1–15, May 2024. https://doi.org/10.1186/s44147-024-00457-z.
• Salem D.A., Hussein M., Hashem E.M., Deploying machine learning regression models for predicting nanofibrous scaffold performance in skin tissue engineering, Journal of Bio-X Research, 7(3): 97–104, September 2024. https://doi.org/10.34133/jbioxresearch.0008 (doi.org in Bing).
• Alzakari S.A., Alhussan A.A., Towfek S.K., Metwally M., Salem D.A., Cervical cancer detection using deep neural networks and hybrid waterwheel plant optimization algorithm, Bioengineering, 12(5): 478, April 2025. https://doi.org/10.3390/bioengineering12050478.
• Mahmood Z., Jamel L., Salem D.A., et al., Improving learning from complex multi-class imbalanced and overlapped data by mapping into higher dimension using SVM++, Scientific Reports, 15: 31245, August 2025. https://doi.org/10.1038/s41598-025-13929-w.
• Aly G.A., Abul Seoud R.A.A., Salem D.A., DrugCellGNN: Graph convolutional networks for integrating omics and drug similarities in cancer therapy prediction, International Journal of Advanced Computer Science and Applications (IJACSA), 16(12), December 2025. http://dx.doi.org/10.14569/IJACSA.2025.0161281.

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