Samuel Adeyemo

Samuel Adeyemo is a Postdoctoral Teaching Fellow in the Engineering Department at Calvin University. His career spans teaching high school chemistry, physics, and mathematics in Nigeria, a graduate research assistantship at West Virginia University developing machine learning algorithms for industrial systems, and a role as a process engineer at Dangote Cement PLC. He specializes in data-driven modeling and machine learning applications in chemical processes.

• Education: B.Sc (Ile-Ife), M.Sc (unspecified institution)

His research focuses on sparse model selection, Bayesian parameter estimation, and robust machine learning for industrial systems. Recent publications emphasize hybrid AI/first-principles models and surrogate modeling under constraints. He has contributed to both computational chemistry and control theory domains.

Key trends in his publications include:

• Integration of machine learning with industrial process modeling
• Development of sparse and constrained models
• Application of Bayesian methods to chemical engineering systems
• Comparative studies of neural networks and traditional ML approaches

His professional experience combines industrial practice (cement manufacturing) and academic research, with a recurring emphasis on technical education and mentorship.