Dr. Temitayo Fagbola | Renewable Energy Prediction | Best Researcher Award
Lecturer at University of Hull, England, United Kingdom
Dr. Temitayo Matthew Fagbola is an internationally recognized academic and researcher in Artificial Intelligence (AI), currently a Teaching Fellow at the University of Hull, United Kingdom. His work centers around applied AI in healthcare, computer vision, natural language processing, and AI ethics. With a career spanning Nigeria, South Africa, and the UK, Dr. Fagbola has published widely on generative AI, semantic segmentation, medical image analysis, and ethical AI. He has also been involved in editorial roles and numerous technical committees, demonstrating leadership in both academic research and professional service.
Publication ProfileΒ
Educational Background π
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Postgraduate Certificate in Academic Practice, University of Hull, UK (2023β2024)
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Ph.D. in Computer Science, Ladoke Akintola University of Technology, Nigeria (2012β2015)
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M.Sc. in Computer Science, University of Ibadan, Nigeria (2009β2011)
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B.Tech. (Hons.) in Computer Science, Ladoke Akintola University of Technology, Nigeria (2002β2007)
Professional Experience πΌ
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Teaching Fellow, Centre of Excellence in Data Science, AI and Modelling, University of Hull, UK (2022βPresent)
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Senior Lecturer, Federal University Oye-Ekiti, Nigeria (2021β2022)
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Honorary Research Associate, Durban University of Technology, South Africa (2020β2022)
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Postdoctoral Fellow, Durban University of Technology, South Africa (2018β2019)
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Lecturer / Assistant Lecturer, Federal University Oye-Ekiti, Nigeria (2012β2018)
Research Interests π¬
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Applied Artificial Intelligence in Healthcare: including denoising autoencoders, diffusion-based models, and cancer prognosis.
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Generative AI and Large Language Models (LLMs): especially for medical imaging, ethical conversational agents, and knowledge graphs.
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Natural Language Processing: topic modeling, sentiment analysis, question answering.
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Computer Vision: semantic segmentation, image generation and classification.
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AI Ethics: safety, transparency, and responsible AI development.
Awards and Honorsπβ¨
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Fellow of the Higher Education Academy (FHEA), UK (2024)
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Winner, Excellence in Feedback, University of Hull (2023)
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Finalist, Excellence in Teaching, University of Hull (2023)
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Honorary Research Associate, Durban University of Technology, South Africa (2020β2022)
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Postdoctoral Research Fellowship, DUT, South Africa (2018β2019)
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Multiple Travel Grants: NeurIPS, Deep Learning IndabaX, ACM FAT*, ACM SIGKDD, and ESA workshops
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Best Paper Award, International Journal of Computer Science and Engineering (2014)
Conclusionπ
Dr. Temitayo Fagbola stands out as a multidisciplinary researcher and educator whose work bridges advanced AI technologies and practical applications in healthcare and education. His scholarly contributions, spanning over 20 peer-reviewed journal articles and edited volumes, are supported by his active participation in global AI conferences, grant-winning projects, and service to academic communities. His combination of academic leadership, international collaborations, and impactful publications makes him an exceptional candidate for recognition in the field of Artificial Intelligence and Computer Science.
Publications π
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π₯οΈ Computer-based test (CBT) system for university academic enterprise examination
π International Journal of Scientific & Technology Research, 2(8), 2013
π¨βπΌ Authors: M. Fagbola Temitayo, A. Adigun Adebisi, O. Oke Alice
π’ Cited by: 109
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βοΈ The Impact and Challenges of Cloud Computing Adoption on Public Universities in Southwestern Nigeria
π International Journal of Advanced Computer Science and Applications (IJACSA), 2014
π¨βπΌ Authors: FTMDCY Oyeleye Christopher Akin
π’ Cited by: 93*
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π§ Hybrid GA-SVM for efficient feature selection in e-mail classification
π Computer Engineering and Intelligent Systems, 3(3), 2012
π¨βπΌ Authors: F. Temitayo, O. Stephen, A. Abimbola
π’ Cited by: 51
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π Cloud Computing: Master the Concepts, Architecture and Applications with Real-world examples and Case studies
π Book, 2019
π¨βπΌ Authors: M.M. Kamal Kant Hiran, Ruchi Doshi, Temitayo Fagbola
π’ Cited by: 37*
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π· Smart face masks for Covid-19 pandemic management: A concise review of emerging architectures, challenges and future research directions
π IEEE Sensors Journal, 23(2), 2022
π¨βπΌ Authors: T.M. Fagbola, F.I. Fagbola, O.J. Aroba, R. Doshi, K.K. Hiran, S.C. Thakur
π’ Cited by: 21
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π€ Towards the development of artificial intelligence-based systems: Human-centered functional requirements and open problems
π 2019 International Conference on Intelligent Informatics and Biomedical Sciences, 2019
π¨βπΌ Authors: T.M. Fagbola, S.C. Thakur
π’ Cited by: 20
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π Hybrid Metaheuristic Feature Extraction Technique for Solving Timetabling Problem
π International Journal of Scientific and Engineering Research, USA, 3(8), 2012
π¨βπΌ Authors: O.E.O.O.A.C. Olabiyisi Stephen O., Fagbola Temitayo M.
π’ Cited by: 19
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π± Development of Mobile-Interfaced Machine Learning-Based Predictive Models for Improving Studentsβ Performance in Programming Courses
π International Journal of Advanced Computer Science and Applications, 9(5), 2018
π¨βπΌ Authors: F.T.M.A.I.A.O.A.O.O.O.E.A.O.B.E. Funmilola
π’ Cited by: 15*
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π§ An optimized feature selection technique for email classification
π International Journal of Scientific & Technology Research, 3(10), 2014
π¨βπΌ Authors: O. Oludare, O. Stephen, O. Ayodele, F. Temitayo
π’ Cited by: 15
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π°οΈ A survey on migration process of mobile agent
π Proceedings of the World Congress on Engineering and Computer Science, 2016
π¨βπΌ Authors: M.O. Oyediran, T.M. Fagbola, S.O. Olabiyisi, E.O. Omidiora, A.O. Fawole
π’ Cited by: 13
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π§βπ« Special issue: Towards a higher education of the future: Transformational roles of edge intelligence
π Array, 22, 100332, 2024
π¨βπΌ Authors: R. Doshi, Y.C. Hu, L. Garg, T. Fagbola
π’ Cited by: 12
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π₯ An SAP enterprise resource planning implementation using a case study of hospital management system for inclusion of digital transformation
π International Journal of Computer Information Systems and Industrial Management Applications, 2023
π¨βπΌ Authors: O.J. Aroba, A.O. Owoputi, T.M. Fagbola
π’ Cited by: 11
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π° News article classification using Kolmogorov complexity distance measure and artificial neural network
π International Journal of Technology, 10(4), 2019
π¨βπΌ Authors: T.M. Fagbola, C.S. Thakur, O. Olugbara
π’ Cited by: 11
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βοΈ An exploratory study of cloud and ubiquitous computing systems
π World Journal of Engineering and Pure & Applied Sciences, 2(5), 2012
π¨βπΌ Authors: S.O. Olabiyisi, T.M. Fagbola, R.S. Babatunde
π’ Cited by: 11
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π³π¬ Lexicon-based Bot-aware Public Emotion Mining and Sentiment Analysis of the Nigerian 2019 Presidential Election on Twitter
π Conference/Journal Paper, 2019
π¨βπΌ Authors: T.M. Fagbola, S.C. Thakur
π’ Cited by: 10