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Usmanu Danfodiyo University Sokoto

The Most Peaceful University in Nigeria








Hayatullahi Bolaji Adeyemo



Area of specialization:Data Analytics & Software Engineering
Email:adeyemo.hayatullahi@udusok.edu.ng / hayatu4islam@gmail.com
Phone:08069295003

List of Selected Publications

1. Adeyemo, H., & Ahmed, M. (2017). Solving 0/1 Knapsack Problem Using Metaheuristic Techniques. In 2017 9th IEEE-GCC Conference and Exhibition (GCCCE) (pp. 1-6). IEEE. ISSN: 2473-9391; Indexed in: GoogleScholar. DOI: 10.1109/IEEEGCC.2017.8448239
2. Owolabi, T. O., Suleiman, M. A., Adeyemo, H. B., Akande, K. O., Alhiyafi, J., & Olatunji, S. O. (2018). Estimation of minimum ignition energy of explosive chemicals using gravitational search algorithm based support vector regression. Journal of Loss Prevention in the Process Industries, 57, 156-163. ISSN: 0950-4230; Indexed in: Scopus, GoogleScholar, ISI Web of Knowledge. DOI: https://doi.org/10.1016/j.jlp.2018.11.018
3. Suleiman, M. A., Owolabi, T. O., Adeyemo, H. B., & Olatunji, S. O. (2018). Modeling of autoignition temperature of organic energetic compounds using hybrid intelligent method. Process Safety and Environmental Protection, 120, 79-86. ISSN: 0957-5820; Indexed in: Scopus, GoogleScholar. DOI: https://doi.org/10.1016/j.psep.2018.08.031
4. Adeyemo, H. B., Owolabi, T. O., Suleiman, M. A., Akande, K. O., Alhiyafi, J., Fayose, S., & Olatunji, S. O. (2019). Hybrid chemometric approach for estimating the heat of detonation of aromatic energetic compounds. Heliyon, 5(7), 1-8. ISSN: 2405-8440; Indexed in: Scopus, GoogleScholar. DOI: https://doi.org/10.1016/j.heliyon.2019.e02035
5. Adeyemo, H. B. (2021). Comparative Analysis of Modeling and Software Testing Tools: A Survey. Saudi Journal of Engineering and Technology (SJEAT), 6(10), 371-377. ISSN: 2415- 6264; Indexed in: GoogleScholar, CrossRef(DOI), World Cat, Publons. DOI: 10.36348/sjet.2021.v06i10.007. Link: https://saudijournals.com/media/articles/SJEAT_610_371-377_L8hRMPy.pdf
6. Adeyemo, H. B., Bahsoon, R., & TiƱo, P. (2022). Surrogate-based Digital Twin for Predictive Fault Modelling and Testing of Cyber Physical Systems. In 2022 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) (pp. 166-169). IEEE.DOI: 10.1109/BDCAT56447.2022.00028