Babatunde A. SAWYERR
Research Lead/Senior Lecturer
Babatunde is a certified IBM Artificial Intelligence expert and a Fellow of the Nigerian Computer Society (FNCS). He has a Ph.D. in Computer Science (2010) with twenty-two (22) years experience teaching undergraduate and postgraduate students at the University of Lagos, Universite Nancy 2, Nancy, France (2008, 2010), University of The Witwatersrand, Johannesburg (2008, 2009), University of KwaZulu Natal, Durban, South Africa (2012 – 2013) and Lagos State University (2018-2019). He has trained and supervised over 300 student projects and his research interests include the design and development of Nature-inspired Search and Optimization Algorithms for both continuous and combinatorial optimization problems, Artificial Intelligence, Deep Machine Learning, and data mining.
Dr. Sawyerr has successfully designed and developed some probabilistic search algorithms for search and optimization. He is a founding member and research lead of Machine Intelligence Research Group (MIRG), and Mathematical Analysis and Optimization Research Group (MANORG) University of Lagos. He is also a member of the editorial board of International Journal of Mathematical Analysis and Optimization: Theory and Applications (IJMAO) and a member of the board of Trustees of Eko-Konnect, a research and education network (REN) organization.
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Publications
1. G. A. Idowu, M. O. Adamu, B. A. Sawyerr. (2020): Hybrid Metaheuristic for Just-in-Time Scheduling in a Flow Shop with Distinct Time Windows. International Journal of Mathematical Analysis and Optimization: Theory and Applications. vol. 2020 (1), 741-756.
2. K. Igbineweka, B. A. Sawyerr, E. P. Fasina. (2020) Improved Plant Species Identification Using Convolutional Neural Networks with Transfer Learning and Test Time Augmentation. In: Subair S., Thron C. (eds) Implementations and Applications of Machine Learning. Studies in Computational Intelligence, vol 782:197 – 206, Springer, Cham.
3. B. A. Sawyerr, A. O. Adewumi, and M. M. Ali. (2014): Benchmarking RCGAu on the Noiseless BBOB Testbed, Recent Advancements in Soft Computing and its Application. The Scientific World Journal, vol. 2014, Article ID 734957, 2014.
4. B. A. Sawyerr, A. O. Adewumi, and M. M. Ali. (2014): Real-coded genetic algorithm with uniform random local search, Applied Mathematics and Computation, 228 (6), 589–597.
5. B. A. Sawyerr, A. O. Adewumi, and M. M. Ali. (2013): Benchmarking Projection-Based Real Coded Genetic Algorithm on BBOB-2013 Noiseless Function Testbed, In Proceedings of the 15th annual conference companion on Genetic and evolutionary