Dr.
Zeinab Taha is an academic and researcher specializing in Artificial
Intelligence, Bioinformatics, and Machine Learning. She received both the
M.Sc. and Ph.D. degrees in 2013, 2020 respectively from the Faculty of
Computer Science and Artificial Intelligence at Cairo University and obtained
the PGCert qualification in 2022 from Greenwich University.
She
is currently an assistant professor, she teaches courses in Computer Science,
Software Engineering, and Bioinformatics, with a strong focus on integrating
modern technologies and innovative teaching approaches into higher education.
Her research interests include
Bioinformatics, biomedical data analysis, protein interactions, and the
application of machine learning and deep learning techniques to solve complex
biological and healthcare problems. She is particularly interested in interdisciplinary
research that combines computational intelligence with life sciences to support
scientific and technological advancement.
Course - Programming &
Development
Fundamentals of Programming I
& II, Object-Oriented Programming, Data Structures, Design and Analysis of
Algorithms.
Course - Systems &
Databases
Operating Systems, Database
System Development, Embedded Systems.
Course - Specialized Courses
Compiler
Design, Human-Computer Interaction, Introduction to Information Technology,
Concepts of Programming Languages, Theory of Computing, and network and security.
§ Assistant Professor (Full-Time 2025- Present)
Faculty of
Computer Science – Arab Open University
§ Assistant Professor (Full-Time 2020- 2025)
Faculty of
Computer Science - MSA University
§ Assistant Professor (Part-Time, 2020-2024)
Faculty of
Computers & Artificial Intelligence, Cairo University Faculty of
Engineering, Arab Academy for Science and Technology Faculty of Computer
Science, Nile University
Faculty of
Computer Science- New Giza University
§ Lecturer Assistant (Full-Time,2013-2020)
Faculty
of Computer Science - MSA University
List of Publications
- Khaled, Adham, Abd El Haliem, Zeinab. “Generative
Recurrent Network For Design SARS-CoV-2 Main Protease Inhibitor.” 2022
International Conference on Software, Telecommunications and Computer
Networks (SoftCOM), IEEE, 2022.
- Wassif, K. T., Badr, A., Nassef, M., Abd El Haliem,
Z. “A Novel Computational Approach for Predicting RNA Binding Proteins
Using Optimum Path Forest with Hybrid Features.” 2019.
- Abd El Haliem, Zeinab, Nassef, Mohammad, Badr, Amr.
“A New Hybrid Approach for Feature Selection and Predicting of Protein
Interaction Network in Lung Cancer.” 2019.
- Abd El Halim, Zeinab, Badr, Amr, Tawfik, Khaled,
Farag, Ibrahim. “Major Histocompatibility Complex Class II Prediction.” American
Journal of Bioinformatics Research, vol. 2, no. 1, pp. 14–20, 2012.
- Mahmoud, Shehab Eldeen Hesham, Taha, Zeinab Abd El
Haliem. “AI Personal Trainer for Lateral Raises and Shoulder Presses
Exercises.” 2023 Intelligent Methods, Systems, and Applications (IMSA),
pp. 118–123, IEEE, 2023.
- Mahfouz, Mohamed A., Zakaria, Ehab Emam, Abd El
Haliem, Zeinab. “PPS-FPCM: Privacy-Preserving Semi-Fuzzy Possibilistic
C-Means.” International Journal of Advanced Research in Computer
Science, vol. 14, no. 3, pp. 150–163, 2023.
- Ahmed, Mahmoud Ahmed Mahmoud, Elghamrawy, Karim
Ahmed, Taha, Zeinab Abd El Haliem. “(Voick): Enhancing Accessibility in
Audiobooks Through Voice Cloning Technology.” 2024 6th International
Conference on Computing and Informatics (ICCI), pp. 46–52, IEEE, 2024.
- Mohamed, Sohaila Ismail, Saady, Maryam Mamdouh, Taha,
Zeinab Abd El Haliem. “Virtual Utopia: AI-Enhanced 3D Room Design
Simulation for Optimal Furniture Layout.” 2024 Intelligent Methods,
Systems, and Applications (IMSA), pp. 489–494, IEEE, 2024.
- Mostafa, Hassan, Haddad, Nathalie, Mohamed, Habiba,
Taha, Zeinab Abd El Haliem. “Brain MRI Classification and Segmentation of
Glioma, Pituitary and Meningioma Tumors Using Deep Learning Approaches.” 2024
Intelligent Methods, Systems, and Applications (IMSA), pp. 482–488,
IEEE, 2024.
- Elshaboury, Ahmed, Taha, Zeinab Abd El Haliem.
“Enhancing Student Performance Prediction Using Machine Learning
Techniques.” 2024.
- Hassan, Mohamed, Taha, Zeinab Abd El Haliem.
“AI-Based Smart Healthcare Monitoring System.” 2024.
- Ali, Sara, Taha, Zeinab Abd El Haliem. “Deep Learning
Approaches for Biomedical Data Classification.” 2025.
- Ibrahim, Nourhan, Taha, Zeinab Abd El Haliem.
“Machine Learning Techniques for Protein Interaction Prediction.” 2025.
- Abd El Haliem, Zeinab. “Applications of Artificial
Intelligence in Bioinformatics and Healthcare.” 2025.
