Aqeel Sahi

About

He holds a PhD from the University of Southern Queensland, Australia, where his thesis focused on securing cloud computing using cryptography and network traffic classification. He is a lecturer at the College of Engineering, University of Shatrah. His research covers information and network security, cloud security, and privacy in eHealth systems, as well as machine learning and deep learning applications in DDoS attack detection, fake news detection, EEG signal analysis and human activity recognition. He has published in international peer-reviewed journals and conferences, including IEEE Access and Expert Systems with Applications.

Publications (28)

1. 1. Dynamic ensemble learning model for Human Activity Recognition using wearable sensors — 2026
2. 2. QKD-Assisted Secure Transport Framework for Federated Healthcare Systems: A Software Prototype and Baseline Evaluation — 2026
3. 3. Dynamic Power Allocation for Energy-Efficient 5G Networks Using Load Prediction with RF and SARIMA — 2026
4. 4. ECT-DLM: Deep Learning-Based Empirical Curvelet Transform Approach for Thoracic Disease Diagnosis from X-RAY Images — 2026
5. 5. SGDM-GRU: Spectral graph deep learning based Gated Recurrent Unit model for accurate fake news detection — 2025
6. 6. EEG based over-complete rational dilation wavelet transform coupled with autoregressive for motor imagery classification — 2025
7. 7. Secured Multi-Objective Optimisation-Based Protocol for Reliable Data Transmission in Underwater Wireless Sensor Networks — 2025
8. 8. Enhanced Polycystic Ovary Syndrome diagnosis model leveraging a K-means based genetic algorithm and ensemble approach — 2025
9. 9. Unmasking Fake News: A Naïve Bayes Classifier Approach to Combat Misinformation — 2025
10. 10. Robust Approach for Human Activity Recognition Using Decomposing Technique Based Machine Learning Models — 2025
11. 11. Deep Temporal Graph Learning for Cascade Popularity Prediction in Social Networks — 2025
12. 12. An Enhanced Data Collection System for Social Enterprises: Securing Impact with Machine Learning and Cryptography — 2025
13. 13. The Influence Maximization in Complex Networks: Significant Trends, Leading Contributors, and Prospective Directions — 2025
14. 14. ECT-DLM: Deep Learning-Based Empirical Curvelet Transform Approach for Thoracic Disease Diagnosis from X-RAY Images — 2025
15. 15. Silent Slowdown: Unmasking Myxedema Coma in an Elderly Patient — 2025
16. 16. Physical Human Activity Recognition Based on Spectral Graph Wavelet Transforms Integrated with Machine Learning Model — 2024
17. 17. Layered Model Stacking: Enhancing DDoS Detection Through Advanced Ensemble Machine Learning Techniques — 2024
18. 18. Robust Approach for Human Activity Recognition Using Decomposing Technique Based Machine Learning Models — 2024
19. 19. A Review of the State of the Art in Privacy and Security in the eHealth Cloud — 2021
20. 20. An Efficient Hash Based Parallel Block Cipher Mode of Operation — 2018
21. 21. Three-party password-based authenticated key exchange protocol based on the computational Diffie-Hellman assumption — 2018
22. 22. Securing clouds using cryptography and traffic classification (PhD thesis, University of Southern Queensland) — 2018
23. 23. An Efficient DDoS TCP Flood Attack Detection and Prevention System in a Cloud Environment — 2017
24. 24. An Energy Efficient TCP DoS Attacks Mitigation Method in Cloud Computing — 2017
25. 25. Security and privacy preserving approaches in the eHealth clouds with disaster recovery plan — 2016
26. 26. Preventing man-in-the-middle attack in Diffie-Hellman key exchange protocol — 2015
27. 27. Parallel encryption mode for probabilistic scheme to secure data in the cloud — 2015
28. 28. Preventing MS SQL Injection in Web Application (Master's thesis, Universiti Utara Malaysia) — 2010