Biography

Dr. Lamiaa Menshawy is a Lecturer in the Department of Information Systems at the College of Technology Management and Information Systems, Port Said University, Egypt. She received her Ph.D. in Artificial Intelligence from the Faculty of Engineering at the same university in 2025.

Her research interests include Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision, with a focus on intelligent healthcare applications and medical image analysis. Her recent work explores ensemble deep learning models for disease detection and classification using medical imaging data.

Dr. Menshawy has published several research papers in international journals and conferences. She is also an official certified trainer in the HCIA-AI program at the Huawei ICT Academy, where she contributes to training students and professionals in modern artificial intelligence technologies.

In addition to her research activities, she teaches courses in programming, artificial intelligence, machine learning, computer vision, cybersecurity, and databases, and is committed to integrating advanced AI technologies into education and real-world applications.

Educational Qualification

Ph.D. – Artificial Intelligence
Port Said University, Faculty of Engineering, Electrical Engineering Department, Computer and Control Section
2020 – 2025

M.E. – Mobile Wireless Networks
Port Said University, Faculty of Engineering, Electrical Engineering Department, Computer and Control Section
2013 – 2018

B.E. – Electrical Engineering
Port Said University, Faculty of Engineering, Electrical Engineering Department, Computer and Control Section
2005 – 2010

Academic And Professional Experience

Lecturer
Information Systems Department, College of Technology Management and Information Systems, Port Said University
April 2025 – Present

Seconded Lecturer – Al-Manzala Institute of Engineering and Technology
Academic Year 2025/2026

Official Certified Trainer – HCIA-AI
Huawei ICT Academy and National Telecommunication Institute (NTI), Egypt
October 2022 – Present

Teaching Assistant
Information Systems Department, College of Technology Management and Information Systems, Port Said University
2013 – 2024

Publications

1. L. Menshawy, H. Nashaat, and R. Rizk, "SLUM: Smart location update mechanism for random mobility model," in Proc. of 13th International Computer Engineering Conference (ICENCO), Cairo, Egypt, December 2017. Doi: https://doi.org/10.1109/ICENCO.2017.8289812

2. L. Menshawy, H. Nashaat and R. Rizk, "Multi-Objective Handoff Scheme for MACRO/ FEMTO WiMAX Networks," In Journal of Circuits, Systems, and Computer, Vol. 28, Issue 1, Jan 2019. Doi:10.1142/S0218126619500166.

3. L. Menshawy, A. H. Eid, and R. F. Abdel-Kader, "Ensemble deep models for covid-19 pandemic classification using chest x-ray images via different fusion techniques, " International Journal of Advances in Intelligent Informatics, vol. 9, no. 1, p. 51, Mar. 2023, doi: 10.26555/ijain.v9i1.922.

4. L. Menshawy, A. H. Eid, and R. F. Abdel-Kader, "Enhanced COVID-19 Classification Using Ensemble Meta-Algorithms on Chest X-ray Images." In Proc. of Engineering Solutions toward Sustainable Development. Earth and Environmental Sciences Library. Springer, Egypt, pp. 485–497, 2024. doi: 10.1007/978-3-031-46491-1_29.

5. L. Menshawy, A. Eid, and R. F. Abdel-Kader, "Efficient COVID-19 Classification from Chest X-ray using PCA-N and SpinalNet-Based Ensemble Models," Journal of Neural Computing and Applications.

6. I. Abu Halawa, M. Shahin, L. Menshawy, and A. Elgayar, “CT‑Ensemble: Hybrid CNN‑TabNet for Imbalanced Bank Customer Churn Prediction,” in Proc. 10th Int. Sci. Conf., Faculty of Business, Tanta Univ. (COM10 Conf.), Tanta, Egypt, Apr. 4, 2026.