معرفی
Dr. Tazar Hussain is a Lecturer in Computing Science at the School of Computing, Ulster University, where he teaches deep learning and IoT. He completed his PhD at Ulster University on IoT management frameworks for decision-making under unreliability and worked as a part-time Research Associate on the BTIIC 'Data to Action' project. Previously, he served as a Lecturer at King Saud University (9 years), securing research funding from NPST and DSU.
- Education: PhD (Ulster University), MSc in Data Telecommunication and Networks (Salford University), Bachelor of Information Technology (Sarhad University)
- Research Focus: Deep Learning, NLP, IoT Security, Explainable AI, and Human Activity Recognition (HAR)
- Projects: Active member of the PwC Advanced Engineering and Research Centre (2021-2026), specializing in Few-Shot Learning and Smart Cities
His work bridges IoT systems and cybersecurity, with a focus on intrusion response mechanisms. Publications span machine learning applications in security, risk-based decision frameworks, and C4I systems. He is a certified IBM Security Specialist and trained in smart cities and cloud technologies.
- Key Trends: 1) Application of Explainable AI in pathology LIS systems, 2) Cognitive modeling for IoT cyberattack responses, 3) Risk-based decision-making in IoT environments, 4) Cost-sensitive intrusion response systems, 5) Formal methods (e.g., Situation Calculus) in cybersecurity
Collaborations include Invest Northern Ireland and BTIIC, with expertise aligning to UN Sustainable Development Goals in digital security and smart infrastructure.
