Computing and AI Research Group
Computing and AI Research Group
Welcome to the Computing and AI Research Group. The group encompasses a diverse array of research interests, projects and expertise within the broad fields of Computing and Artificial Intelligence. The group is committed to high-quality evidence-based responsible research and encourages innovative engagement and collaboration with industry in all sectors, including education, entertainment, business, healthcare, wellbeing and transport.
Selected Current and Recent Projects
鈥淒evelopment of an AI-assisted Method for the Setting-up and Configuration of Cyber security Infrastructures in Organisations鈥 - For more information about this project, please contact Dr Benjamin Aziz (benjamin.aziz@bnu.ac.uk)
鈥淎n Exploration of Applications of Generative AI in Enabling Community Networks to Provide Support for Vulnerable Households in the UK鈥 - For more information about this project, please contact Jonathan Jackson (jonathan.jackson@bnu.ac.uk)
鈥淎 Comparative Analysis of Pronunciation Accuracy by AI-powered Text-to-Speech Tools for Medical Terminology鈥 - For more information about this project, please contact Jonathan Jackson (jonathan.jackson@bnu.ac.uk)
鈥淓nergy Demand Forecasting Systems using Explainable AI鈥 - For more information about this project, please contact Dr Shahadate Rezvy (shahadate.rezvy@bnu.ac.uk)
鈥淎utomating Renal Imaging and Diagnostics: Deep learning model development and evaluation for blood vessel segmentation in 3D kidney images鈥 - For more information about this project, please contact Dr Shahadate Rezvy (shahadate.rezvy@bnu.ac.uk)
鈥淒eveloping an App Meeting the Needs of Individuals with CES鈥 - For more information about this project, please contact Dr Rafid AlKhannak (rafid.al-khannak@bnu.ac.uk)
鈥淒eveloping an AI-integrated Slice-of-Life Game to Help Individuals Struggling with Social Interactions鈥 - For more information about this project, please contact Dr Safa Tharib (safa.tharib@bnu.ac.uk)
鈥淎DA: Remote Healthcare Monitoring powered by Network Intelligence and Automation鈥 - For more information about this project, please contact Dr Benjamin Aziz (benjamin.aziz@bnu.ac.uk)
Current PhD/MPhil projects
鈥淐onceptual development of advanced secure cryptographic protocol and algorithm for mobile NFC and RFID communications鈥
Past PhD/MPhil projects
"Identification and evaluation of predictors for learning success and of models for teaching computer programming in contemporary contexts鈥
鈥淢anipulating the perception of paragraph breaks: A new theoretical model of textual steganography using paragraphs鈥
鈥淎 secure co-owned data sharing framework using fuzzy group decision making and users reputation鈥
鈥淔ault tolerance enhancement for software defined networks鈥
鈥淎n approach to enhancing security and privacy of the Internet of Things with federated identity鈥
鈥淣ew methods to improve the pixel domain steganography, steganalysis, and simplify the assessment of steganalysis tools鈥
鈥淎n Investigation into the uncanny: character design, behaviour and context鈥
鈥淓fficient ordinary differential equation-based modelling and skin deformations for character animation鈥
Selected outputs (publications)
Al-Asfoor, M. and Abed, M.H., 2022. The effect of the topology adaptation on search performance in overlay network. In Expert Clouds and Applications: Proceedings of ICOECA 2021 (pp. 65-73). Springer Singapore.
Al-Asfoor, M., Neville, B. and Fasli, M., 2012. Heuristic resource search in a self-organised distributed multi agent system. In Self-Organizing Systems: 6th IFIP TC 6 International Workshop, IWSOS 2012, Delft, The Netherlands, March 15-16, 2012. Proceedings 6 (pp. 84-89). Springer Berlin Heidelberg.
Al-Khannak, R. and Nehal, S.S., 2023. Penetration Testing for the Cloud-Based Web Application. WSEAS TRANSACTIONS ON COMPUTERS, 22, pp.104-113.
Al-Khannak, R., 2018. E-Learning Web Based Grid by Utilising P2P Technology in Presentation Broadcasting. In Soft Computing Applications: Proceedings of the 7th International Workshop Soft Computing Applications (SOFA 2016), Volume 2 7 (pp. 395-407). Springer International Publishing.
Al-Khannak, R., Jawad, T.M. and Abdulameer, M.A., 2015. E College: Intelligent Examination Board (EC-IEB). International Journal of Science, Engineering and Computer Technology, 5(5), p.103.
Al-Khannak, R. and Bitzer, B., 2006, September. Grid Computing for Power and Automation Systems Implementations. In Proceedings of the 41st International Universities Power Engineering Conference (Vol. 1, pp. 348-353). IEEE.
Al鈥怱hammary, D., Albukhnefis, A.L., Alsaeedi, A.H. and Al鈥怉sfoor, M., 2022. Extended particle swarm optimization for feature selection of high鈥恉imensional biomedical data. Concurrency and Computation: Practice and Experience, 34(10), p.e6776.
Aziz, B. Formal Analysis by Abstract Interpretation: Case Studies in Modern Protocols. SpringerBriefs in Applied Sciences and Technology. Springer Nature, January 2022.
Aziz, B., Arenas, A. and Crispo, B. (editors). Engineering Secure Internet of Things Systems. The Institution of Engineering and Technology (The IET), October 2016.
Aziz, B., 2021. A process algebraic mutation framework with application to a vehicle charging protocol. Vehicular Communications, 30, p.100352.
Aziz, B., 2020. Modeling and analyzing an industry 4.0 communication protocol. IEEE Internet of Things Journal, 7(10), pp.10120-10127.
Aziz, B., 2016. A formal model and analysis of an IoT protocol. Ad Hoc Networks, 36, pp.49-57.
Bian, S., Deng, Z., Chaudhry, E., You, L., Yang, X., Guo, L., Ugail, H., Jin, X., Xiao, Z. and Zhang, J.J., 2019. Efficient and realistic character animation through analytical physics-based skin deformation. Graphical Models, 104, p.101035.
Bian, S., Maguire, G., Kokke, W., You, L. and Zhang, J.J., 2019. Efficient c2 continuous surface creation technique based on ordinary differential equation. Symmetry, 12(1), p.38.
Bian, S., Zheng, A., Gao, L., Maguire, G., Kokke, W., Macey, J., You, L. and Zhang, J.J., 2019. Fully automatic facial deformation transfer. Symmetry, 12(1), p.27.
Bian, S., Zheng, A., Chaudhry, E., You, L. and Zhang, J.J., 2018. Automatic generation of dynamic skin deformation for animated characters. Symmetry, 10(4), p.89.
Guo, S., Tharib, S., Chang, J. and Zhang, J., 2013. Biologically鈥揑nspired Motion Pattern Design of Multi鈥搇egged Creatures. In Evolutionary and Biologically Inspired Music, Sound, Art and Design: Second International Conference, EvoMUSART 2013, Vienna, Austria, April 3-5, 2013. Proceedings 2 (pp. 145-156). Springer Berlin Heidelberg.
Ihmeida, M and Shahzad, M., 2023. Enhanced Change Detection Performance Based on Deep Despeckling of Synthetic Aperture Radar Images. In IEEE Access, vol. 11, pp. 95734-95746. IEEE.
Ihmeida, M., Shahzad, M., 2023. Deep Despeckling of SAR Images to Improve Change Detection Performance. In: Bramer, Artificial Intelligence XL. SGAI 2023. Lecture Notes in Computer Science (), vol 14381. Springer.
Ihmeida, M. and Wei, H., 2021, December. Image registration techniques and applications: comparative study on remote sensing imagery. In 2021 14th International Conference on Developments in eSystems Engineering (DeSE) (pp. 142-148). IEEE.
Jackson, J., 2023. Upskilling a new generation of digital technologists. ITNOW, 65(4), pp.50-51.
Jiang, M., Southern, R., Tharib, S. and Zhang, J.J., 2013, November. Energy-Based Dissolution Simulation. In 2013 International Conference on Computer-Aided Design and Computer Graphics (pp. 405-406). IEEE.
Koorowlay, K., Al-Khannak, R., 2024. The Impact of Utilising the Amazon AWS Hybrid Deployment Model on Assuring a Secure Migration of a Commercial Web Application into the Cloud. Lecture Notes in Networks and Systems. The Computing 2024, London, UK. Springer
Makiyah, E.H. and Kliamees, N.N., 2023, December. Point Cloud Streaming over HTTP/2. In 2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet) (pp. 1-5). IEEE.
Makiyah, E.H. and Khamiss, N.N., 2023, July. Point Cloud Compression for Augmented Reality-Based Campus Navigation Application. In 2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS) (pp. 25-31). IEEE.
Mather, R. Day, N.M., Jones, R.E., Lusuardi, C. Maher, K. Dexter, K. (2015). Canonical Explorations of 鈥楾eL鈥 Environments for Computer Programming. In: The European Conference on Technology in the Classroom, 2015, Brighton, United Kingdom.
Oleiwi, Z.C., Al-Shammary, D., Al-Asfoor, M. and Ibaida, A., 2021. Light network high performance discrete cosine transform for digital images. Visual Informatics, 5(2), pp.41-50.
Razooqi, Y.S. and Al-Asfoor, M., 2022. Intelligent routing to enhance energy consumption in wireless sensor network: a survey. In Mobile Computing and Sustainable Informatics: Proceedings of ICMCSI 2021 (pp. 283-300). Springer Singapore.
Rezvy, S., Petridis, M., Lasebae, A. and Zebin, T., 2018, November. Intrusion detection and classification with autoencoded deep neural network. In International Conference on Security for Information Technology and Communications (pp. 142-156). Cham: Springer International Publishing.
Rezvy, S., Luo, Y., Petridis, M., Lasebae, A. and Zebin, T., 2019, March. An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks. In 2019 53rd Annual Conference on information sciences and systems (CISS) (pp. 1-6). IEEE.
Rezvy, S., Zebin, T., Braden, B., Pang, W., Taylor, S. and Gao, X.W., 2020, April. Transfer learning for Endoscopy disease detection and segmentation with mask-RCNN benchmark architecture. In CEUR Workshop Proceedings (Vol. 2595, pp. 68-72). CEUR-WS.
R. Rochon, J. Jackson, J. Knight, 2023. Mobile Technology for Professional Development and Wellbeing: The REFLECTA Project, INTED2023 Proceedings, pp. 8074-8078.
Tharib, S., 2023. Objective reality in the digital age. Metaverse, 4(2).
Tharib, S., Chan, T.H. and Lin, Y.C., 2019. Rethinking design: An innovative approach to sunglasses design and manufacture. In Smart Science, Design & Technology (pp. 267-270). CRC Press.
You, L., Yang, X., Pan, J., Lee, T.Y., Bian, S., Qian, K., Habib, Z., Sargano, A.B., Kazmi, I. and Zhang, J.J., 2020. Fast character modeling with sketch-based PDE surfaces. Multimedia Tools and Applications, 79, pp.23161-23187.
Zebin, T. and Rezvy, S., 2021. COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization. Applied Intelligence, 51, pp.1010-1021.
Zebin, T., Rezvy, S. and Luo, Y., 2022. An explainable AI-based intrusion detection system for DNS over HTTPS (DoH) attacks. IEEE Transactions on Information Forensics and Security, 17, pp.2339-2349.
Contact Information
For more information about the Computing and AI Research Group or any of its projects, please contact group lead Dr Benjamin Aziz (benjamin.aziz@bnu.ac.uk)