Role
Dr. Isibor Kennedy Ihianle is an Associate Professor with the Department of Computer Science at Nottingham Trent University and a member of the Computational Intelligence and Applications (CIA) research group.
Career overview
Dr. Ihianle received his BSc and PhD in Computer Science from the University of East London. He joined Nottingham Trent University in March 2020 and teaches modules in Artificial Intelligence (AI), Machine Learning (ML), and Data Science. He was the Course Leader for the Level 7 Digital Technology and Solutions Specialist Degree Apprenticeship - MSc Digital and Technology Solutions (Data Analytics) and currently is the Course Leader for the BSc Data Science program.
Research areas
Dr. Ihianle’s research focuses on the application of computational intelligence, AI, and ML to various domains. His work is particularly centred on developing technology-driven solutions that enhance health and well-being, with a focus on smart environments for recognising and identifying the daily activities of elderly individuals and those with physical disabilities or cognitive impairments.
Opportunities for postgraduate research at MPhil/PhD levels exist in all these areas, and more information can be obtained from the NTU Doctoral School.
External activity
- Member of EPSRC ICT Prioritisation Panel May (2024)
- IEEE CertifAIEd Assessor (2023 - Date)
- Guest Editor Electronics MDPI Special Issue (Advances in AI, IoT and Smart Sensors for Digital Healthcare Applications)
Sponsors and collaborators
Current PhD Students:
- Jake Street
- Izaak Hamblin
- Denis Monari
- Feliciano Domingos
- Aftab Barkat
- Ravidu Suien Rammuni Silva
- Chloe Boulter
- Joseph Origbo
Recent and Current Research Projects:
- STEM 4.0: Advancing Technology Education through AI-Driven and Adaptive Learning. Funded by the British Council (£29,374) (Principal Investigator) - [2025 - 2026]
- SmartBerry: Artificial Intelligence to Enhance Strawberry Farming In Developing Countries. Funded by Innovate UK (£245,725), (Principal Investigator) - [2024 - 2026]
- To Create an Innovative AI Approach for Enhancing Data Quality through Data Augmentation in the Finance Sector. Funded by Innovate UK (£235,710), (Co-Investigator) - [2024 - 2027].
- Integrated Virtual Wards for Ageing Well. Funded by Innovate UK (£207,379), (Co-Investigator) - [2024 - 2026].
- SAMACT – Bionic Prosthetic Arm (£24,781.78), (Co-Investigator) - [2024 - 2025].
- Sensor-Based Monitoring and Adaptation for Geriatric Environments (SMARTAGE) (Principal Investigator) - [2023-2024]
- Development of AI-Driven Defect Detection in Fasteners – Collaborative funding between Nottingham Trent University and Panjab University, India (£10,000) (Principal Investigator) - [2022 - 2023]
Publications
Fontes, L., Machado P., Vinkemeier, D., Yahaya, S., Bird, J., Ihianle I. K., Enhancing Stress Detection: A Comprehensive Approach through rPPG Analysisand Deep Learning Techniques, Sensors 2024.
Ihianle, I. K. and Machado, Pedro, Owa, Kayode and Adama, David Ada and Otuka, Richard and Lotfi, Ahmad, Minimising Redundancy, Maximising Relevance: Hrv Feature Selection for Stress Classification. https://doi.org/10.1016/j.eswa.2023.122490.
Murray-Hill, N., Fontes, L., Machado, P., Ihianle, I. K, Secure Video Streaming Using Dedicated Hardware. J Sign Process Syst 95, 1265–1275 (2023). https://doi.org/10.1007/s11265-023-01886-4
Bird, J.J., Ihianle, I.K., Machado, P., Brown, D.J. and Lotfi, A., 2023, December. A Neuroevolution Approach to Keypoint-Based Sign Language Fingerspelling Classification. In 2023 15th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter) (pp. 215-220). IEEE.
Ijemaru, G.K., Nwajana, A.O., Oleka, E.U., Otuka, R.I., Ihianle, I.K., Ebenuwa, S.H. and Obi, E.R., 2021. Image processing system using MATLAB-based analytics. Bulletin of Electrical Engineering and Informatics, 10(5), pp.2566-2577.
IK. Ihianle, A. O. Nwajana, S. H. Ebenuwa, R. I. Otuka, K. Owa and M. O. Orisatoki, "A Deep Learning Approach for Human Activities Recognition From Multimodal Sensing Devices," in IEEE Access, vol. 8, pp. 179028-179038, 2020, http://doi:10.1109/ACCESS.2020.3027979
More on his publications can be found here Google Scholar and ResearchGate.