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Professor Preeti Patel

Professor Preeti Patel is Co-Director of the AI and Data Science Research Group. With a background in both academia and industry, her research focuses on AI-driven educational technologies, data science curricula, and applications of AI in healthcare and energy. She is a Principal Fellow of Advance HE and a member of the BCS and CMI.

Professor Preeti Patel, Co-Director AI and Data Science Research Group

 

Preeti Patel

Professor Preeti Patel has been educated in the United Kingdom and holds a BSc in Computer Science (1986), an MSc in Database and Information Systems (1992) and a PhD in Computing (2017) from UK universities.

She is the Co-Director of the AI and Data Science Research Group at London Metropolitan University. Prior to entering the Higher Education sector, she worked within the IT industry for organisations including British Telecom, The Wellcome Foundation and General Electric Information Services. She has a keen interest in international education and has been previously involved with the NCC global programmes for a number of years and continues to work with international partners.

She has been an External Advisor and an External Examiner at various UK universities, and regularly works with the UK QAA. Her current research interests include AI-driven educational technologies, hybrid learning environments, FAIR and FATE data challenges, the data science curriculum, and applications of AI in healthcare and energy sectors.

Professor Patel is a Principal Fellow of Higher Education Academy (Advance HE), a member of the British Computer Society, the Chartered Institute for IT and an associate Member of the Chartered Management Institute.

Preeti Patel teaches on both undergraduate and postgraduate database modules which comprise Oracle professional certification. Her current research interests include AI-driven educational technologies, hybrid learning environments, FAIR and FATE data challenges, the data science curriculum, and applications of AI in healthcare and energy sectors.
Previous research coverage included graduate competence and employability, assessment feedback methods, learning-related issues for database environments and enhancement of student engagement.

Professor Patel’s current British Council funded project aims to establish international academic and research initiatives. https://www.londonmet.ac.uk/research/centres-groups-and-units/ai-and-data-science-research-group/projects-grants-and-partners/building-transnational-synergy-through-research-collaboration-a-uk-pakistan-partnership-project/ 

PhD Supervision
 

  • Facial Soft Biometrics for Privacy-Preserved Learner Engagement Monitoring in Virtual Classroom [current]
  • A Universal Framework for Handling Cloud-Based Evidence [current]
  • Auditing Consent: Validation of Data Subject Oriented Data Security Model [2024]
  • Through a Gramscian lens - An investigation of academic perceptions towards the implementation of blended learning change management programmes in UK post 1992 Universities [2025]
  • Proactive Chatbot Framework designed to Assist Students based on PS2CLH Model [2022]
  • A Knowledge Management Framework for the Postal Sector [2015]
  • An assessment of existing component-based software development methodologies: a holistic approach to CBSD [2002]

  • Irfan, M., Patel, P., Hassan, B. (2025). From Distraction to Interaction: Investigating Learner Engagement Challenges in Virtual Classrooms. In: Bhateja, V., Patel, P., Simic, M. (eds) Intelligent Data Engineering and Analytics. FICTA 2024 2024. Smart Innovation, Systems and Technologies, vol 420. Springer, Singapore. https://doi.org/10.1007/978-981-96-0139-4_49

  • Singh, U., Dey, M., Patel, P. (2025). Enabling Grid Stability: Harnessing PMU Data for Data-Driven Analysis of Grid Frequency Events. In: Bhateja, V., Dey, M., Senkerik, R. (eds) Innovations in Information and Decision Sciences. FICTA 2024 2024. Smart Innovation, Systems and Technologies, vol 422. Springer, Singapore. https://doi.org/10.1007/978-981-96-0147-9_9

  • Khaliq, U., Patel, P. (2025). Investigating Fine-Tuning of Large Language Models for Text Summarisation. In: Bhateja, V., Patel, P., Simic, M. (eds) Intelligent Data Engineering and Analytics. FICTA 2024 2024. Smart Innovation, Systems and Technologies, vol 420. Springer, Singapore. https://doi.org/10.1007/978-981-96-0139-4_6

  • Rana, S.P., Dey, M., Patel, P., Requena, J. and Fu, C., 2025, April. Prompting and RAG vs. student engagement and comprehension in educational technology. In 2025 IEEE Global Engineering Education Conference (EDUCON) (pp. 1-7). IEEE.

  • Sakar, B.E., Hassan, B., Wasiq, M.F., Patel, P., Siddiqi, Y., Dey, M. and Sherazi, H.H.R., 2025, April. VEMeter: a tool for evaluating participation levels in virtual class sessions. In 2025 IEEE Global Engineering Education Conference (EDUCON) (pp. 1-6). IEEE.

  • Mercado, E.A.B., Das, S.R., Hassan, B. and Patel, P., 2025, May. Transfer Learning based Gender Identification using Arbitrary Celebrity Image Sets. In 2025 5th International Conference on Pervasive Computing and Social Networking (ICPCSN) (pp. 1428-1436). IEEE.

  • Irfan, M., Patel, P. and Hassan, B., 2025, April. EngageSense: a hybrid approach for real time engagement detection for virtual classrooms. In 2025 IEEE Global Engineering Education Conference (EDUCON) (pp. 1-9). IEEE.

  • Dey, M., Patel, P. and Rana, S.P., 2025. A data-centric approach to terminal unit’s fault categorization and optimal positioning in building HVAC systems using ensemble learning. Discover Data, 3(1), p.17.

  • Shrestha, S., Patel, P., Longchar, S. and Xavier, A.F., 2025. Enhancing gender-based violence research: holistic approaches to data collection and analysis. Women, 5(2), p.19.

  • Patel, P., Francis Xavier, A., Longchar, S. and Shrestha, S., 2025. The influence of socioeconomic and cultural factors on emotional violence in gender-based abuse. Global Public Health, 20(1), p.2514522.

  • Patel, P., Shooshtarian, S. (2024). The Role of Chatbots in Data Analytics: An Evaluation of Functional Abilities. In: Arai, K. (eds) Intelligent Computing. SAI 2024. Lecture Notes in Networks and Systems, vol 1017. Springer, Cham. https://doi.org/10.1007/978-3-031-62277-9_10

  • Patel, P. (2024), Synthetic Data, Business Information Review, Vol 41 (2), https://doi.org/10.1177/02663821241231101

  • Almada, A., Yu, Q., and Patel, P., (2023) NLP K-means algorithm incorporated into a proactive chatbot to assist failing student, International Conference on Intelligent Computing and Machine Learning, 14-16
  • Almada, A., Yu, Q., Patel, P., (2022) Assisting Students with the Proactive Chatbot Based on Their Group of Problems, 2nd Paris Conference on Education (PCE2023),  IAFOR Journal of Education.
  • Almada, A., Yu, Q., Patel, P., (2022), Proactive Chatbot Framework Based on the PS2CLH Model: An AI-Deep Learning Chatbot Assistant for Students, Intelligent Systems and Applications, Lecture Notes in Networks and Systems, Volume 542, Chapter 54, Springer  
  • Fernando, S., Shrestha, S., Patel, P., Pun, M., (2022), Employability of University Leavers Using a Descriptive Analytics Case Study, International Journal of Information and Education Technology
  • Yu, Q., Healy, S., Ravi, I., Patel, P., (2022), Data Ingestion Pipeline and Data Marts to Empower UK Researchers, Academics, and Business and Economic Decision Makers, Lecture Notes in Networks and Systems, Volume 438, Chapter 13, Springer 
  • Almada A., Yu Q., Patel P., (2019), “PS2CLH: A Learning Factor Model for Enhancing Students’ Ability to Control Their Achievement”, The Asian Conference on Education, ACE2019 Proceedings, The International Academic Forum

  • S Habte, K Ouazzane, P Patel, S Patel (2017), “Generic Data Warehousing for Consumer Electronics Retail Industry”, International Journal of Computer, Electrical, Automation, Control and Information Engineering Vol:11, No:7, pp779-782.
  • D Palmer-Brown, FF Cai, P Patel (2017), “An Optimised Competency Framework to Prepare Students for Employment”, 11th International Technology, Education and Development Conference, Spain. INTED Proceedings, pp.5399-5410. dx.doi.org/10.21125/inted.2017.1260

  • D Palmer-Brown, FF Cai, P Patel (2016), “Classifying and Evaluating Assessment Feedback Practices”, 9th International Conference of Education, Research and Innovation, ICERI Proceedings, pp.6495-6506.  dx.doi.org/10.21125/iceri.2016.0483

  • D Palmer-Brown, FF Cai, P Patel, (2016), “Competency-based Feedback for the Improvement of Employment Outcomes for Computing Students”, International Conference on Computational Science and Computational Intelligence, Las Vegas. IEEE Conference Publication, pp252-257. dx.doi.org/10.1109/CSCI.2016.0056

  • D Palmer-Brown, FF Cai, P Patel, (2015), “Learning from Feedback on Work-Related Learning: Skills Acquisition and Reality Check”, Conference on Higher Education Advances HEAd’15, Valencia University, Spain. dx.doi.org/10.4995/HEAd15.2015.330

  • P Patel, (2015), “Graduates’ Feedback on their Work-Related Learning Experience”, 12th Annual Conference, Association of Learning Development in Higher Education (ALDinHE),  www.aldinhe.ac.uk/solent15.htm

  • G A Thomas, F Marir, R Mikusauskas, P Patel: “A Framework for Designing Knowledge Management Systems: Aggregating the Existing Approaches”, eKNOW 2013, The Fifth International Conference on Information, Process and Knowledge Management, pp 8-15, 2013.

  • Patel P, Jing Y, “The Impact of Dissertations for Employability: A Case Study of Student Profiles”, HEA Graduate Impact Publication, 2011.

  • Yu Q, Patel P, “Teaching Oracle Data Miner using Virtual Machine”, Teaching, Learning and Assessment of Databases Conference, July 2011.

  • Jing Y, Patel, P, Chalk P, (2011), Facilitating the Impact of Graduates on Student Employability, ITALICS Volume 10 Issue 2 June 2011 – ISSN: 1473-7507.

Room: Room T9-03c Tower Building

Telephone: +44(0)20 7133 3689

Email: p.patel@londonmet.ac.uk

Availability: Wednesdays, 1-2pm in Room T9-03c Tower Building