Biography
After completing his B.Sc degree at Ile-Ife, he taught Chemistry, Physics and Mathematics for a period of 18 months at different High Schools in Nigeria. He proceeded to earn a Masters degree after which he joined Dangote Cement PLC as a process engineer for cement manufacturing. He has a passion to positively influence young minds holistically hence at leisure, he enjoys playing with kids and teaching them to be true followers of Christ.
Professional Experience
· Currently Postdoctoral Teaching Fellow at the Engineering Department of Calvin University
· Graduate Research Assistant at West Virginia University developing novel robust machine learning algorithms for building sparse data-driven models. This was part of hybrid first-principles/AI model development for industrial boiler health monitoring.
· Five years of process engineering experience (including one year of rigorous training) in the manufacturing of cement using dry process. This includes mineral extraction from the mines, material handling and pulverization, pyroprocessing with heat recovery, optimal operation of 6000tpd clinker production line as well as quality assurance activities.
Research
· Adeyemo, S., Bhattacharyya, D., 2024. Optimal nonlinear dynamic sparse model selection and Bayesian parameter estimation for nonlinear systems. Comput. Chem. Eng. 180, 108502. https://doi.org/10.1016/j.compchemeng.2023.108502
· Adeyemo, S., & Bhattacharyya, D., 2024. Development of Mass / Energy Constrained Sparse Bayesian Surrogate Models from Noisy Data. Systems and Control Transactions vol 3, 101946. DOI:10.69997/sct.101946
· Mukherjee A.*, Adeyemo S.*, Bhattacharyya D., 2024. All-Nonlinear Static-Dynamic Neural Networks versus Bayesian Machine Learning for Data-Driven Modelling of Chemical Processes. The Canadian Journal of Chemical Engineering, https://doi.org/10.1002/cjce.25379.
· Taiwo, O., Adeyemo, S., Bamimore, A., King, R., 2014. Centralized Robust Multivariable Controller Design Using Optimization, IFAC Proceedings Volumes. IFAC. https://doi.org/10.3182/20140824-6-ZA-1003.02415
