Dr. Kehinde Adewale Adesina is an engineering academic with over fifteen years of teaching and research experience across mechanical, industrial, and process engineering. He holds a B.Tech and MSc in Chemical Engineering and a PhD in Industrial Engineering, specialising in thermodynamic systems, multiphase processes, optimisation, and computational modelling. His research focuses on computational mechanics, engineered fluids, thermo‑exergetic optimisation, and data‑driven intelligent systems, with applications in energy efficiency and decarbonisation technologies. Dr. Adesina has published more than 32 peer‑reviewed journal articles, several book chapters, and conference papers, achieving 394 citations and an h‑index of 10. He has taught extensively at undergraduate and postgraduate levels, supervised MSc theses, and held leadership roles including Chairman of the Industrial Engineering Department. A Registered Engineer with COREN, he is committed to inclusive, research‑informed teaching and advancing sustainable engineering through high‑performance computational modelling.
Dr. Kehinde Adewale Adesina is an engineering academic with over fifteen years of teaching and research experience across mechanical, industrial, and process engineering. He holds a B.Tech and MSc in Chemical Engineering and a PhD in Industrial Engineering, specialising in thermodynamic systems, multiphase processes, optimisation, and computational modelling. His research focuses on computational mechanics, engineered fluids, thermo‑exergetic optimisation, and data‑driven intelligent systems, with applications in energy efficiency and decarbonisation technologies. Dr. Adesina has published more than 32 peer‑reviewed journal articles, several book chapters, and conference papers, achieving 394 citations and an h‑index of 10. He has taught extensively at undergraduate and postgraduate levels, supervised MSc theses, and held leadership roles including Chairman of the Industrial Engineering Department. A Registered Engineer with COREN, he is committed to inclusive, research‑informed teaching and advancing sustainable engineering through high‑performance computational modelling.