معرفی
Naveed Khan serves as Lecturer in Computer Science at Ulster University's School of Computing, with prior research roles at Queen's University Belfast (Data Analytics Research Fellow) and Ulster University (Research Associate at BTIIC and Post-Doctoral Researcher at NIBEC). He co-leads a £3.3M PwC-funded project on synthetic data generation and contributes to EPSRC research evaluation.
His academic credentials include:
- BSc (Hons) in Computer Science from Hazara University
- MSc in Computer Science (Network Security) from King Saud University
- PhD in Change detection in physical human activities from Ulster University
Dr. Khan's research centers on Explainable AI (XAI) development, time series analysis for dynamic environments, and medical image processing using deep learning. His work integrates data engineering with IoT systems to address concept drift and activity recognition challenges, particularly in healthcare and security applications.
Recent publications (2023-2025) reveal cross-domain impact across deepfake detection, smart grid cybersecurity, medical IoT security, and cardiac imaging analysis. His work consistently bridges theoretical AI advancements with practical implementations in energy systems, healthcare diagnostics, and business process optimization.
Professional recognition includes:
- Fellow of the Higher Education Academy (FHEA)
As co-investigator on the £3.3M Advanced Research and Engineering Centre project, he directs synthetic data generation research while serving on the EPSRC Peer Review College. No doctoral students are publicly documented under his supervision. His lab affiliations span Ulster University's British Telecom Ireland Innovation Centre (BTIIC) and Nanotechnology and Integrated Bioengineering Centre (NIBEC), enabling interdisciplinary work in telecommunications and healthcare technology.
