
Research group: Secure and Intelligent Systems (SISTEM)
Solving cross-disciplinary research problems across AI security and intelligent systems, cybersecurity and next-generation communication systems.
Summary
About our research
Our research creates products with a positive social impact, contributes to economic growth, and improves society through scientific advancements. We work across three key areas:
AI security and intelligent systems
- Security of AI systems, and challenges like bias, fairness and the autonomous weaponisation of AI.
- Designing end-to-end intelligent systems incorporating multiple AI models and helping to achieve the net zero vision.
- Developing industrial products for predictive maintenance and analysis, precision agriculture and more.
Cybersecurity
- Zero-day exploits, ransomware, insider threats and vulnerabilities.
- 5G and internet of things (IoT) security.
- Post-quantum cryptography and digital forensics.
- The safety and security of emerging applications.
Next-generation communication systems: 5G, 6G, IoT, satellite and the metaverse
- Resource allocation: ultra-low latency, spectrum allocation, efficiency and sustainability.
- Communication: seamless connectivity and interoperability, edge computing.
- Privacy, trust and security.
Meet the team
See contact details, publications history, specialisms and more.
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View our staff
View our staff
- Ali Kashif Bashir (Lead)
- Mohammed Al-Khalidi (Co-lead)
- Alex Akinbi
- Aryan Kaushik
- Conor Muldoon
- Mohammad Atif Ur Rehman
- Safiullah Khan
Researchers and doctoral students
- Abima Obim Abima
- Adnan Al-Husseini
- Tarek Ali
- Abduljabbar Alissa
- Hayley Berry
- Shadi Melebari
- Nana Kwesi Arkoh Onumah
- Pavana Paradesi
Selected projects
- AI safety and security, Turing Network.
- A blueprint for dynamic optimal task allocation in human-AI teaming, Northwest Partnership for Security and Trust (NWPST).
- FarmSense - an affordable, modular internet of things enabled pre-harvest test and predictive analytics solution, UKRI’s Global Challenges Research Fund.
- Lightweight and efficient post-quantum cryptography (PQC) for secure-by-design internet of medical things (IoMT), NWCyberCom.
- Reconfigurable intelligent surfaces, IEEE Communication Society.
- Designing innovative predictive analysis approaches for the food packaging industry, Innovate UK.
- AI to improve productivity and efficiency of the supply chain industry, Innovate UK.
- SAFE Home: Security-aware fog-based efficient home monitoring for elders, CELTIC-NEXT, EU.
- Analyzing attacker traffic using deep learning, NTT Japan.
Key publications
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Key publications
Key publications
- M. Al-Khalidi; R. Al-Zaidi; T. Ali; S. Khan; A. K. Bashir. AI-optimized elliptic curve with Certificate-Less Digital Signature for zero trust maritime security. Ad Hoc Networks, Elseveir, vol. 166, Jan. 2025.
- Y. Tao; J. Wu; Q. Pan; A. K. Bashir; M. Omar. O-RAN-Based Digital Twin Function Virtualization for Sustainable IoV Service Response: An Asynchronous Hierarchical Reinforcement Learning Approach. IEEE Transactions on Green Communications and Networking, vol. 8, 2024
- A. Paul, K. Singh, A. Kaushik, et al, “Quantum-Enhanced DRL Optimization for DoA Estimation and Task Offloading in ISAC Systems,” IEEE Journal on Selected Areas in Communications, vol. 43, no. 1, pp. 364-381, Jan. 2025.3.
- M. Imran, M. N. Ali, M. Salah Ud Din, M. Atif Ur Rehman, Byung-Seo Kim. An Efficient Communication and Computation Resources Sharing in Information-Centric 6G Networks. IEEE Internet of Things Journal, vol. 11, 2024.
- H. Feng; Q. Li; W. Wang; A. K. Bashir; et al. Security of target recognition for UAV forestry remote sensing based on multi-source data fusion transformer framework. Information Fusion, Elsevier, vol. 112, Dec. 2024.
- Y. Tao; J. Wu; Q. Pan; A. K. Bashir; M. Omar. O-RAN-Based Digital Twin Function Virtualization for Sustainable IoV Service Response: An Asynchronous Hierarchical Reinforcement Learning Approach. IEEE Transactions on Green Communications and Networking, vol. 8, 2024
- M. Shafiq; Z. Tian; A. K. Bashir; X. Du; M. Guizani. CorrAUC: a Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine Learning Techniques. IEEE Internet of Things Journal, vol. 8, no. 5, pp. 3242-3254, Mar. 2021.
- H. Liao; Z. Zhou; X. Zhao; S. Mumtaz; A. Jolfaei; S. H. Ahmed; and A. K. Bashir. Learning-Based Context-Aware Resource Allocation for Edge Computing-Empowered Industrial IoT. IEEE Internet of Things Journal, 2020.
Contact
Contact us
You can contact individual members of the team through their staff profiles.
For general enquiries, please contact our research group lead Professor Ali Kashif Bashir.