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My name is Samuel Adeyemo. I obtained my BS and MS degrees in Chemical engineering from Obafemi Awolowo University, Ile-Ife in 2011 and 2015 respectively. Following this, I worked as a process/production engineer at Dangote Cement PLC, Obajana, Nigeria until I joined Dr Bhattacharyya’s Advanced Process and Energy Systems Engineering Group in 2020. I am working on Development of Artificial Intelligence using Quantified Uncertainties and I have special interests in optimal model parameter estimation with uncertainties and robust process control. I love reading, singing and playing with kids.
Work Experience:
Process/Production Engineer, Dangote Cement PLC, Obajana, Nigeria, 2015 - 2019
Education:
Ph.D. Chemical Engineering, West Virginia University, Morgantown, WV, 2020 - 2024
M.S. Chemical Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria, 2015
B.S. Chemical Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria, 2011
Membership:
AIChE, NSE
Current Research
Current Research
Development of Artificial Intelligence Using Quantified Uncertainties
The research involves the development of optimal Bayesian machine learning (ML) model for estimation of tube external and internal heat transfer resistance as part of boiler health monitoring project using a hybrid first principles-artificial intelligence model.
Publications
Publications
Adeyemo S, Bhattacharyya D, “Optimal Nonlinear Dynamic Sparse Model Selection and Bayesian Parameter Estimation for Nonlinear Systems”, 180, 108502, Computers & Chemical Engineering, 2024
Adeyemo S, Bhattacharyya D, "Development of Mass/Energy Constrained Sparse Bayesian Surrogate Models from Noisy Data", 3, 99-104, CSChE Systems & Control Transactions, 2024
Mukherjee A, Saini V, Adeyemo S, Bhattacharyya D, Purdy D, Parker J, Boohaker C, "Development of Hybrid First Principles - Artificial Intelligence Models for Transient Modeling of Power Plant Superheaters under Load-Following Operation", 262, 124795, Applied Thermal Engineering, 2025
Adeyemo S, Bhattacharyya D, "Sparse Mass-Constrained Nonlinear Dynamic Model Building from Noisy Data using a Bayesian Approach", 64, 1646-1663, Industrial & Engineering Chemistry Research, 2025
Mukherjee A, Adeyemo S, Bhattacharyya D, "All-Nonlinear Static-Dynamic Neural Networks versus Bayesian Machine Learning for Data-Driven Modelling of Chemical Processes", 103, 1139-1154, The Canadian Journal of Chemical Engineering, 2025
Presentations
Presentations
Adeyemo S, Bhattacharyya D, "Development of Bayesian Machine Learning Algorithms for Optimal Nonlinear Model Selection and Parameter Estimation from Noisy Data of Unknown Characteristics", Paper 362f, AIChE Annual Meeting, Phoenix, AZ, November 13-18, 2022
Adeyemo S, Bhattacharyya D, “Bayesian Machine Learning of Dynamic Systems with Unknown Noise Characteristics”, Paper 346o, AIChE Annual Meeting, Boston, MA, November 7-19, 2021
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