Temitayo Fagbola | Renewable Energy Prediction | Best Researcher Award

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 

Google Scholar

Educational Background πŸŽ“

  • Postgraduate Certificate in Academic Practice, University of Hull, UK (2023–2024)

  • Ph.D. in Computer Science, Ladoke Akintola University of Technology, Nigeria (2012–2015)

  • M.Sc. in Computer Science, University of Ibadan, Nigeria (2009–2011)

  • B.Tech. (Hons.) in Computer Science, Ladoke Akintola University of Technology, Nigeria (2002–2007)

Professional Experience πŸ’Ό

  • Teaching Fellow, Centre of Excellence in Data Science, AI and Modelling, University of Hull, UK (2022–Present)

  • Senior Lecturer, Federal University Oye-Ekiti, Nigeria (2021–2022)

  • Honorary Research Associate, Durban University of Technology, South Africa (2020–2022)

  • Postdoctoral Fellow, Durban University of Technology, South Africa (2018–2019)

  • Lecturer / Assistant Lecturer, Federal University Oye-Ekiti, Nigeria (2012–2018)

Research Interests πŸ”¬

  • Applied Artificial Intelligence in Healthcare: including denoising autoencoders, diffusion-based models, and cancer prognosis.

  • Generative AI and Large Language Models (LLMs): especially for medical imaging, ethical conversational agents, and knowledge graphs.

  • Natural Language Processing: topic modeling, sentiment analysis, question answering.

  • Computer Vision: semantic segmentation, image generation and classification.

  • AI Ethics: safety, transparency, and responsible AI development.

Awards and HonorsπŸ†βœ¨

  • Fellow of the Higher Education Academy (FHEA), UK (2024)

  • Winner, Excellence in Feedback, University of Hull (2023)

  • Finalist, Excellence in Teaching, University of Hull (2023)

  • Honorary Research Associate, Durban University of Technology, South Africa (2020–2022)

  • Postdoctoral Research Fellowship, DUT, South Africa (2018–2019)

  • Multiple Travel Grants: NeurIPS, Deep Learning IndabaX, ACM FAT*, ACM SIGKDD, and ESA workshops

  • Best Paper Award, International Journal of Computer Science and Engineering (2014)

Conclusion🌟

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 πŸ“š

  • πŸ–₯️ Computer-based test (CBT) system for university academic enterprise examination
    πŸ“š International Journal of Scientific & Technology Research, 2(8), 2013
    πŸ‘¨β€πŸ’Ό Authors: M. Fagbola Temitayo, A. Adigun Adebisi, O. Oke Alice
    πŸ”’ Cited by: 109


  • ☁️ The Impact and Challenges of Cloud Computing Adoption on Public Universities in Southwestern Nigeria
    πŸ“š International Journal of Advanced Computer Science and Applications (IJACSA), 2014
    πŸ‘¨β€πŸ’Ό Authors: FTMDCY Oyeleye Christopher Akin
    πŸ”’ Cited by: 93*


  • 🧠 Hybrid GA-SVM for efficient feature selection in e-mail classification
    πŸ“š Computer Engineering and Intelligent Systems, 3(3), 2012
    πŸ‘¨β€πŸ’Ό Authors: F. Temitayo, O. Stephen, A. Abimbola
    πŸ”’ Cited by: 51


  • πŸ“– Cloud Computing: Master the Concepts, Architecture and Applications with Real-world examples and Case studies
    πŸ“š Book, 2019
    πŸ‘¨β€πŸ’Ό Authors: M.M. Kamal Kant Hiran, Ruchi Doshi, Temitayo Fagbola
    πŸ”’ Cited by: 37*


  • 😷 Smart face masks for Covid-19 pandemic management: A concise review of emerging architectures, challenges and future research directions
    πŸ“š IEEE Sensors Journal, 23(2), 2022
    πŸ‘¨β€πŸ’Ό Authors: T.M. Fagbola, F.I. Fagbola, O.J. Aroba, R. Doshi, K.K. Hiran, S.C. Thakur
    πŸ”’ Cited by: 21


  • πŸ€– Towards the development of artificial intelligence-based systems: Human-centered functional requirements and open problems
    πŸ“š 2019 International Conference on Intelligent Informatics and Biomedical Sciences, 2019
    πŸ‘¨β€πŸ’Ό Authors: T.M. Fagbola, S.C. Thakur
    πŸ”’ Cited by: 20


  • πŸ“† Hybrid Metaheuristic Feature Extraction Technique for Solving Timetabling Problem
    πŸ“š International Journal of Scientific and Engineering Research, USA, 3(8), 2012
    πŸ‘¨β€πŸ’Ό Authors: O.E.O.O.A.C. Olabiyisi Stephen O., Fagbola Temitayo M.
    πŸ”’ Cited by: 19


  • πŸ“± Development of Mobile-Interfaced Machine Learning-Based Predictive Models for Improving Students’ Performance in Programming Courses
    πŸ“š International Journal of Advanced Computer Science and Applications, 9(5), 2018
    πŸ‘¨β€πŸ’Ό Authors: F.T.M.A.I.A.O.A.O.O.O.E.A.O.B.E. Funmilola
    πŸ”’ Cited by: 15*


  • πŸ“§ An optimized feature selection technique for email classification
    πŸ“š International Journal of Scientific & Technology Research, 3(10), 2014
    πŸ‘¨β€πŸ’Ό Authors: O. Oludare, O. Stephen, O. Ayodele, F. Temitayo
    πŸ”’ Cited by: 15


  • πŸ›°οΈ A survey on migration process of mobile agent
    πŸ“š Proceedings of the World Congress on Engineering and Computer Science, 2016
    πŸ‘¨β€πŸ’Ό Authors: M.O. Oyediran, T.M. Fagbola, S.O. Olabiyisi, E.O. Omidiora, A.O. Fawole
    πŸ”’ Cited by: 13


  • πŸ§‘β€πŸ« Special issue: Towards a higher education of the future: Transformational roles of edge intelligence
    πŸ“š Array, 22, 100332, 2024
    πŸ‘¨β€πŸ’Ό Authors: R. Doshi, Y.C. Hu, L. Garg, T. Fagbola
    πŸ”’ Cited by: 12


  • πŸ₯ An SAP enterprise resource planning implementation using a case study of hospital management system for inclusion of digital transformation
    πŸ“š International Journal of Computer Information Systems and Industrial Management Applications, 2023
    πŸ‘¨β€πŸ’Ό Authors: O.J. Aroba, A.O. Owoputi, T.M. Fagbola
    πŸ”’ Cited by: 11


  • πŸ“° News article classification using Kolmogorov complexity distance measure and artificial neural network
    πŸ“š International Journal of Technology, 10(4), 2019
    πŸ‘¨β€πŸ’Ό Authors: T.M. Fagbola, C.S. Thakur, O. Olugbara
    πŸ”’ Cited by: 11


  • ☁️ An exploratory study of cloud and ubiquitous computing systems
    πŸ“š World Journal of Engineering and Pure & Applied Sciences, 2(5), 2012
    πŸ‘¨β€πŸ’Ό Authors: S.O. Olabiyisi, T.M. Fagbola, R.S. Babatunde
    πŸ”’ Cited by: 11


  • πŸ‡³πŸ‡¬ Lexicon-based Bot-aware Public Emotion Mining and Sentiment Analysis of the Nigerian 2019 Presidential Election on Twitter
    πŸ“š Conference/Journal Paper, 2019
    πŸ‘¨β€πŸ’Ό Authors: T.M. Fagbola, S.C. Thakur
    πŸ”’ Cited by: 10