Journal of Artificial Intelligence and Digital Health

Sunday Adeola Ajagbe recently completed his PhD in the Department of Computer Engineering, Ladoke Akintola University of Technology (LAUTECH), Ogbomoso Nigeria, and a lecturer, at Abiola Ajimobi Technical University (formerly First Technical University) Ibadan, Ibadan, Nigeria. He obtained M.Sc. and B.Sc. in Information Technology and Communication Technology respectively at the National Open University of Nigeria (NOUN), and his Masters of Philosophy and Postgraduate Diploma in Computer Engineering and Electronics and Electrical Engineering respectively at LAUTECH. His specialization includes Applied Artificial Intelligence, Natural Language Processing (NLP), information security, data science, and the IoT and smart devices. He is also licensed Engineering by the Council for the Regulation of Engineering in Nigeria (COREN) as a professional electrical engineer, and a professional member of the IEEE, and International Association of Engineers (IAENG). Engr Ajagbe was among the Top 2% world scientists ranked in 2025 by Stanford University, USA in collaboration with Elsevier. He has many publications to his credit in reputable academic databases.

• Applied artificial intelligence
• Soft Computing and Data Science
• Information and Communication Technology (ICT)
• Optimisation Algorithms
• Internet of Things (IoT)

1. Editorial Board Member:

BMC Artificial Intelligence (Springer)

Discover Artificial Intelligence (Springer)

2. Ad-hoc Reviewer for journals including IEEE Access, Multimedia Tools & Applications, Results in Engineering, SN Computer Science, Egyptian Informatics Journal

3. Book Editorial Board Member:

Artificial Intelligence and Computer Vision in E-waste Management, Nova Science Publishers, USA

4. Conference Roles:
Elsevier
Session Co-Chair, International Conference on Machine Learning and Data Engineering

Session Co-Chair, International Conference on Internet of Things and Connected Technologies

Technical/Program Committee Member for multiple international conferences

1. Thresholding in Convolutional Neural Network Model for Yorùbá Speech-to-Text Conversion
2. Design and Development of Automatic Speech Recognition System for Low-Resource Language
3. A Blockchain-based Smart Healthcare System for Data Protection
4. POTMEC: A Novel Power Optimization Technique for Mobile Edge Computing Networks
5. Comparative Analysis of Machine Learning Algorithms for Money Laundering Detection
6. Efficient Diagnosis of Diabetes Mellitus Using an Improved Ensemble Method
7. Stroke Risk Prediction: A Deep Learning Approach
8. Internet of Things with Deep Learning Techniques for Pandemic Detection
9. Blockchain-enabled Intelligent Toll Management System
10. Deep Learning Techniques for Detection and Prediction of Pandemic Diseases