Find out more about the members of the academic community that make the AI and Data Science Research Group. Here you can find their research interests, areas of expertise, PhD supervisions and contact details.
Members are happy to receive PhD proposals from potential applicants within the AI and Data Science disciplines throughout the academic year.
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Members
Prof. Preeti Patel (p.patel@londonmet.ac.uk) – Co-Director of AI&DS Research Group. Prof. Patel’s current research interests include FAIR and FATE data challenges, synthetic data, big data fusion, the data science curriculum, AI-generative models for Data Science and learning-related issues for database environments and enhancement of student engagement. Prof. Patel is a Principal Fellow of Higher Education Academy (Advance HE). Prof. Patel is currently supervising in the areas of learning technologies and data-centric approaches to gender-based violence.
Dr Elaheh (Ela) Homayounvala (e.homayounvala@londonmet.ac.uk) – Co-Director of AI&DS Research Group. Dr Homayounvala is Reader and Course Leader of MSc Artificial Intelligence. Ela’s research is inter-disciplinary and is focused on using Artificial Intelligence (AI), Machine Learning (ML) and statistical methods. She has special interests in User Modelling and Personalisation (UMAP) in Mental and Physical Health, telemedicine, e-health as well as Education domains. Her current interests include applications of AI and ML in UMAP, personalisation in Remote Health Monitoring systems, automatic learner’s profiling, and personalisation of VLEs, personalisation of interactive recommender systems, personalisation for HCI, user preference modelling, and Personal Assistant Agents.
Prof. Karim Ouazzane (k.ouazzane@londonmet.ac.uk) – Research interests include: identifying and predicting human behaviour using computer vision; intelligent and continuous bimodal speech recognition for wireless devices; fraud detection frameworking using machine learning and deep learning; video trajectory reconstruction using neural networks; a cyber security framework for protecting SMEs IT infrastructure; an authentication system for e-learning platform; developing a customised intelligent keyboard for disabled people; an intelligent intrusion detection system for shared networks.
Prof. Vassil Vassilev (v.vassilev@londonmet.ac.uk) – Prof. Vassilev is a Professor in AI and Intelligent Systems and his research interests include hybrid intelligence, semantic technologies, intelligent systems, ontological engineering and Big Data. Prof. Vassilev has significant experience in both teaching and research in AI and its applications.
Associate Prof. Dr Qicheng Yu (q.yu@londonmet.ac.uk) – Dr Yu’s research interests include: data mining; text mining and big data analysis; data warehousing and business intelligence; AI, cyber security; software agents in distributed systems and e-business and e-commerce systems.
Emeritus Prof. Hassan Kazemian (h.kazemian@londonmet.ac.uk) – Research interests include applications of AI and ML techniques to many areas such as: big data research; cyber security research including steganography, cryptography, identity resolution, crowd-sourced data, mobile devices security, cloud security, web server attacks, penetration testing, e-commerce security and policy, GDPR, cryptocurrency, dark net and social graph; membrane protein (bioinformatics research); data mining and data warehousing; applications of AI to robotics; neuro-linguistic programming and natural language processing.
Dr Dey's research interests span a wide spectrum, including human-computer interaction (HCI), big energy and environment data analysis, energy optimisation in smart buildings, renewable energy technology, power grid management, condition monitoring, digital-twin for smart grid application, and computer-aided diagnosis for smart healthcare applications. She is particularly focused on leveraging these areas to contribute to sustainability efforts, advance towards net-zero emissions, and tackle climate change challenges.
Dr Ghanem’s research works are about applied AI for Cyber Security, Digital Forensics, IoT, cyber security and Cyber-Physical systems. Applied AI for securing cyber and cyber-physical systems. Interest includes AI-driven Risk Assessment and Management, Cyber Attacks and Defences, Human Factors in AI Security, Autonomous Security Agents by AI (eg. Reinforcement Learning, Generative AI and Large Language Models) and Adversarial Machine Learning and Explainable AI (XAI) for Security.
Dr Hassan is a Senior Lecturer in AI & Computer Vision, while an active researcher in Biometrics and Human-Centred Computing. His broad research interests cover applications of AI from crowd security to educational technology development and sports. He is an author of over 30 scholarly articles in top-tier journals & conferences besides several book chapters and technical reports for the European Commission. He is also serving as an Associate Editor for the Journal of Applied Computing & Intelligence and Intl. J. of Electronic Security & Digital Forensics while Guest Editor/Chair for a couple of special issues/sessions in recognised journals and conferences. He also led several funded research projects as PI or Co-PI and professionally associated with IEEE, BMVA, ACM, IET, and BCS.
Dr Shrestha’s research interests are centred around AI and Data Science research, with a particular focus on Big Data Mining and Analytics, Cloud Computing Solutions for AI and Big Data, and Data-driven innovation and computational modelling techniques. I am passionate about developing advanced algorithms and software solutions to extract actionable insights from large datasets, leveraging cloud computing technologies for scalable and efficient data processing, and exploring the integration of AI and machine learning techniques to address complex challenges in various domains. Furthermore, my interests extend to exploring innovative approaches in AI and Data Science research, with a focus on privacy and security measures.
Dr Fernando is a senior fellow of HEA and has around 20 years of experience in the academic sector and worked in the software industry. Sandra's current research is focused on Data Analytics and the development of Assistive Technology products: Image and speech recognition, Rehabilitation using non-invasive methods, Products for people with speech and learning difficulty.
An advocate for interdisciplinary collaboration, Dr Chrysikos has actively engaged in collaborative initiatives with industry partners, fellow researchers, and students. His collaborative work demonstrates an integrated approach to addressing complex challenges in the realms of Computing Science (Data Science & Cyber Security). His research interests span a wide range of topics within Computing Science, with a particular emphasis on data science, data analytics, and cybersecurity challenges.
My research focuses on employing AI and Data Science methods to tackle challenges in Higher Education concerning teaching, learning, and assessment. This include but not limited to constructing Ontologies to help students in learning Java Programming, utilizing Deep Learning models to forecast success rates for students from underrepresented communities, Use data science techniques to analyse students' performance on certain type of assessments, and exploring Generative AI and VR technologies to enrich students' educational experiences.
Dr Abdelgayed’s research focus is on Computer Vision, Machine Learning (ML), Deep Learning, Image/Video Processing. Examples of problems she has worked on segmentation, tracking and classification such as person/object detection, recognition, expression/emotion recognition, etc. Her research spans working on multi/inter-disciplinary projects that utilize the computer state-of-the-art methods to benefit other-fields’ applications such as Medical Imaging, Psychology, Cognitive-Science, Cyber Security. She is also interested in using AI in teaching and learning.