Dr Olayinka Adeleye

 

 

ola.adeleye@yoobeecolleges.com

 

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About

Dr. Olayinka Adeleye holds a PhD degree in Computer information science from Auckland University of Technology. He also obtained a MSc degree in mobile computing and communication networks from School of Computing, University of Leeds, United Kingdom.  He has over a decade of experience in both academics and software industry. He is currently contributing to a funded project in Digital Health at AUT, and also working alongside other software engineers in building a blockchain-driven information centric network for a start-up company in NZ. He has published in top journals including the CORE *A ranked IEEE Trans. Service Computing journal and ACM Computing journal. He has also presented some of his works in workshops, symposiums, and conferences including the highly ranked International Conference on Service Computing, and the Australasian Computing Science Conference, where he recently won the award for the best paper for the Web service computing category.

Dr. Ola is currently a Program Committee Member for an International Conference on Automated Software Engineering (ASE). His current research interests include blockchain application, information centric networks, complex networks, deep learning for recommender systems, graph neural networks, Web and ubiquitous computing, and service-oriented computing.

Academic Qualifications

PhD: Doctor of Philosophy in Engineering (Computer and Mathematical Sciences)

Auckland University of Technology, Auckland, New Zealand, 2022

Thesis: Constructing Evolving Web Service Social Networks for Web Service Discovery

Research Outputs

Publications

Theses and Dissertations (Open Access)

Adelaye, O. (2022). Constructing evolving web service social networks for web service discovery [Doctoral thesis, Auckland University of Technology]. https://openrepository.aut.ac.nz/handle/10292/15318

Journal Articles

Madanian, S., Parry, D., Adeleye, O., Poellabauer, C., Mirza, F., Mathew, S., & Schneider, S. (2022). Automatic speech emotion recognition using machine learning: Digital transformation of mental health. https://aisel.aisnet.org/pacis2022/45/

Adeleye, O., Yu, J., Wang, G., & Yongchareon, S. (2022). Constructing and evaluating evolving Web-API networks: A complex network perspective. IEEE Transactions on Services Computing. https://doi.org/10.1109/TSC.2021.3114709

Naeem, M., Yu, J., Aamir, M., Khan, S. A., Adeleye, O., & Khan, Q. Z. (2021). Comparative analysis of machine learning approaches to analyze and predict the COVID-19 outbreak. PeerJ Computer Science, 7(10), e746.

Adeleye, O., Yu, J., Yongchareon, S., Han, Y., Sheng, Q. (2020, February). Complex network-based web service for Web-API discovery. Proceedings of the Australasian Computer Science Week Multiconference, pp. 1-10.

Adeleye, O., Yu, J., Ruan, J., & Sheng, Z. (2020).  Evaluating random walk-based network embeddings for web service applications. Australasian Database Conference, 198-205. Springer.

Adeleye, O., Yu, J., Yongchareon, S., Sheng, Q. Z., & Yang, L. H. (2019). A fitness-based evolving network for Web-APIs discovery. Proceedings of the Australasian Computer Science Week Multiconference, p. 49. ACM.

Adeleye, O., Yu, J., Yongchareon, S., & Han, Y. (2018). Constructing and evaluating an evolving Web-API network for service discovery. International Conference on Service-Oriented Computing, pp.603-617. Springer.

Yu, J., Sheng, Q. Z., Adeleye, O., & Wang, C. (2018). AndroCon: An android-based context-aware middleware framework. EAI Endorsed Trans. Context-aware Syst. Appl., 4(13), e1.