Smart Internet Technologies Hub (SITHub)
Smart Internet Technologies Hub (SITHub) specialises in the research and development of next-generation networking and cloud technologies, including Beyond 5G and 6G, programmable networks, edge-AI and AI/ML integration technologies. Our work spans from edge to cloud continuum, integrated TN/NTN technologies, network automation, orchestration, and analytics. Our unique blend of expertise sets us apart, enabling us to contribute to the evolving landscape of Smart Internet Technologies.
Why engage with us?
Our team consists of passionate researchers with strong expertise and access to state-of-the-art equipment and testbeds, fostering a dynamic environment for experimentation and innovation. We offer collaborative opportunities with industry leaders and actively participate in large-scale international projects, providing our researchers with global exposure and invaluable networking opportunities.
Key research areas:
- Beyond 5G and 6G networking technologies
- Programmable Networks
- AI/ML in Networking and Cloud
- Edge to Cloud Continuum
- Sustainable Computing
Whether you’re a prospective student, researcher, or industry partner, engaging with SITHub means being part of a vibrant community at the cutting edge of smart internet technologies. We invite you to explore our research, collaborate on projects, and contribute to shaping the future of digital connectivity.
For more information, please contact Prof. Tasos Dagiuklas at sithub@lsbu.ac.uk.
Current Projects:
- CELTIC MECON: MECON targets building a series of technological breakthroughs to achieve high data rate, and ultra-low latency access over hybrid terrestrial and non-terrestrial networks. Additionally, MECON will deploy a set of network applications (NetApps) to support time-sensitive and critical services.
Old Projects:
- British Council SYRACUSE (AI-Powered Security and Privacy in UAV-Communication Systems) project: LSBU has designed and developed of AI-Solutions to ensure security and privacy in UAV communications when they are used in urban environments.
- DASA Cognos (Cognitive routing as a service): Using network automation in tactical networks.
- Innovate UK VICTORY: The LSBU team has designed and developed a mechanism to support security VNF migration using blockchain among edge cloud computing instances.
- Innovate UK WATCH: Wide Smart Safe Robust and Resilient Smart Cities Application Using Fog Computing has implemented a range of video analytics services across edge cloud computing infrastructure.
- MSCA SONNET: Self-OrganizatioN towards reduced cost and energy per bit for future Emerging radio Technologies SONNET) has been funded by the European Commission and has implemented Knowledge Defined Networking (KDN) over 5G Networks.
Here is a categorized summary of recent patents and journal publications by members of the SITHub Research Group:
Patents
- Wang, X., & Iqbal, M. (2016). "An Interoperable Multi-Protocol Communication System and Method." Patent No. CN105704125 A. Google Patents.
- Wang, X., Iqbal, M. (2017). "Communication device and method for achieving multi-protocol interoperability." Patent No: WO2017121235 A1.
- Dagiuklas, T., Iqbal, M., Ghosh, S. (2020). "Routing SDN packets based on calculated link and node costs." UK Patent GB2578453.
Journal Publications
Smart Networks and IoT
- El Boudani, B., Dagiuklas, T., Kanaris, L., Iqbal, M., Chrysoulas, C. (2023). "Information Fusion for 5G IoT: An Improved 3D Localisation Approach Using K-DNN and Multi-Layered Hybrid Radiomap." Electronics.
- El Boudani, et al, (2020). “Implementing Deep Learning Techniques in 5G IoT Networks for 3D Indoor Positioning: DELTA (DeEp Learning-Based Co-operaTive Architecture)”. MDPI Sensors.
- Rasool, S. et al, (2020), “Blockchain-enabled Reliable Osmotic Computing for Cloud of Things: Applications and Challenges”, IEEE IoT Journal.
Edge and AI
- Watt, T., Chrysoulas, C., Barclay, P.J., El Boudani, B. and Kalliatakis, G. (2024). "Moving Healthcare AI Support Systems for Visually Detectable Diseases to Constrained Devices." Applied Sciences, 14(24), p.11474.
- Idoje, G., Dagiuklas, T. and Iqbal, M. (2025). "On the analysis of Amaranthus Viridis crop growth rate." Computers and Electronics in Agriculture, 231, p.109912.
- Tsakanikas, V., Dagiuklas, T., Iqbal, M., Wang, X., & Mumtaz, S. (2023). "An intelligent model for supporting edge migration for virtual function chains in next-generation internet of things." Nature Scientific Reports.
- Idoje, G., Dagiuklas, T., Iqbal, M. (2023). "Federated Learning: Crop classification in a smart farm decentralized network." Smart Agricultural Technology.
- Idoje, G., Mouroutoglou, C., Dagiuklas, T., Kotsiras, A., Iqbal, M., Alefragkis, P. (2023). "Comparative Analysis of Data using Machine Learning Algorithms: A hydroponics system use case." Smart Agricultural Technology.
5G and 6G Technologies
- Hathout, B., Shepherd, P., Dagiuklas, T., Nagaty, K., Hamdy, A. and Rodriguez, J. (2024). "Adaptive Trust Management for Data Poisoning Attacks in MEC-based FL Infrastructures." IEEE Open Journal of the Communications Society.
- Bashir, S., Dagiuklas, T., Kassai, K. and Iqbal, M. (2024). "Optimizing Energy Efficiency in 6G through Multi-Tier Federated Learning Architecture." Wireless World: Research and Trends.
Conference Papers
Edge and AI
- Bashir, S., Dagiuklas, T., Kassai, K., Iqbal, M. (2024). "Architectural Blueprint for Heterogeneity-Resilient Federated Learning." IET 6G and Future Networks Conference, London, UK.
- Kassai, K., Dagiuklas, T., Bashir, S. and Iqbal, M. (2024). "GreenBytes: Intelligent Energy Estimation for Edge-Cloud." IET 6G and Future Networks Conference, London, UK.
5G and 6G Technologies
- Qiu, C., De Simeone, L., Zhu, Y., Tham, M.-L., Dagiuklas, T. (2025), "Coverage Optimization Approach in Aerial-Ground Integrated Wireless Networks", IEEE ICC, Montreal Canada.
- Shepherd, P. (2025), "Zero-Trust Adaptive Security Framework for Edge based FL", Flower AI Summit, March 2025
- Bashir, S. (2025), "Hierarchical Federated Learning for Heterogeneity Environment", Flower AI Summit, March 2025
- Kassai, K., Dagiuklas, T., Bashir, S. and Iqbal, M. (2024). "Enhancing Sustainability in Edge Computing Environments." The Alan Turing Institute, UK-AI ECR Connect 2024.
- Shepherd, P., Dagiuklas, T., Alkan, B., and Rodriguez, J. (2024). "Integrating a Zero Trust Adaptive Security Framework in Edge-based Federated Learning." IEEE International Workshop on Computer-Aided Modeling and Design of Communication Links and Networks, Athens, Greece.
- Innovate UK: We collaborate on projects funded by Innovate UK, focusing on pioneering research and development in smart networks.
- European Commission: Our research group is involved in numerous EU-funded projects, contributing to large-scale collaborative efforts in technological advancements.
 | Professor Tasos Dagiuklas Head of Smart Internet Technologies, Member of the Digital and Data Technologies Research Centre. Research Interests:
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 | Dr Muddesar Iqbal Research Interest:
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 | Dr Brahim El Boudani Research Interests:
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 | Dr Kasra Kassai Research Interests:
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 | Mr Ioannis Iatropoulos Research Interests:
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 | Mr Aarbaz Alam Research Interests:
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 | Mr George Bamfo Research Interests:
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