معرفی
Jawad Ahmad is a Lecturer in the School of Computing, Engineering and the Built Environment at Edinburgh Napier University. His work is closely associated with the Centre for Cybersecurity, IoT and Cyberphysical Systems and the Centre for Distributed Computing, Networking and Security, where he contributes to cutting-edge research in secure and intelligent systems.
His research interests are centered on cybersecurity, artificial intelligence, and Internet of Things (IoT) technologies. He focuses on developing advanced intrusion detection systems, privacy-preserving frameworks using federated learning and homomorphic encryption, and secure data transmission mechanisms leveraging chaos-based and quantum-inspired encryption. His interdisciplinary work extends to healthcare, smart agriculture, and environmental monitoring, demonstrating the broad applicability of his research.
The analysis of his recent publications reveals a strong trend toward AI-driven security solutions, particularly using deep learning models like transformers and attention mechanisms for network intrusion detection. He also explores the integration of machine learning with blockchain and distributed ledgers for trusted threat intelligence sharing. His work consistently emphasizes real-world deployment, performance optimization, and resilience against cyber threats in industrial and healthcare settings.
- Funded Research Projects:
- Data Sharing in Highly Secure Environments (Innovate UK, £273,181)
- PhD Studentship on Homomorphic Encryption (6G Health Institute GmbH, £35,082)
- TrustShare: Privacy-Preserving Threat Intelligence Sharing (Innovate UK, £31,386)
- Cyber Hunt: Automated Cyberthreat Hunting (Norway Research Council, £37,500)
- AI Dashboard for COVID-19 Sentiment Analysis (Chief Scientists Office, £135,104)
Dr Ahmad actively supervises postgraduate research, currently serving as Director of Studies for Hisham Ali and as second supervisor for other PhD candidates. He is involved in multiple collaborative research teams focusing on cybersecurity, AI, and IoT, often working with Prof Bill Buchanan and other leading researchers in the field. His research is published in high-impact journals such as IEEE Access, Frontiers in Computational Neuroscience, and Sensors, and presented at international conferences.
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