Sulyman Olakunle Salawu | Nanotechnology | Outstanding Scientist Award

Dr. Sulyman Olakunle Salawu | Nanotechnology | Outstanding Scientist Award

Lecturer and researcher, Bowen University, Nigeria

Dr. Sulyman Olakunle Salawu is an esteemed Applied Mathematician from Nigeria, specializing in Computational Fluid Mechanics, Reactive Combustion Fluid, and Mathematical Modelling & Applications. He is a prominent researcher and academic, currently contributing to the Department of Mathematics at Bowen University, Iwo, Nigeria. Dr. Salawu is recognized for his extensive research and numerous publications in high-impact journals, earning him accolades and recognition from various prestigious institutions worldwide. 🌍📘

Profile

ORCID

Education

🎓 Ph.D. in Applied Mathematics, University of Ilorin, Ilorin, Nigeria (2017). Thesis: Heat and Mass Transfer of Inclined Magnetic Field Pressure-driven Flow past a Permeable Surface. Supervisor: Dr. Moses S. Dada. 🎓 M.Sc. in Applied Mathematics, University of Lagos, Akoka, Nigeria (2012). Dissertation: Analysis of Nonlinear Discharged Pollutant into a Channel Flow. Supervisor: Dr. Olugbenga J. Fenuga. B.Tech. in Pure & Applied Mathematics, Ladoke Akintola University of Technology, Ogbomoso, Nigeria (2008). Project: Nonlinear Thermodynamic Analysis of Reactive Fluid in a Channel. Supervisor: Dr. Olusegun O. Ajala

Experience

🧑‍🏫 Dr. Salawu has held significant academic and research positions, most notably at Bowen University, Iwo, Nigeria. His contributions to the field of Applied Mathematics are profound, encompassing computational and theoretical advancements. His research visits and collaborations, such as with the International Centre for Theoretical Physics in Italy, highlight his international recognition and collaborative efforts in advancing mathematical sciences. 🌐🔬

Research Interests

🔍 Dr. Salawu’s research interests are diverse and impactful, focusing on Computational Fluid Mechanics, Reactive Combustion Fluid, and Mathematical Modelling & Applications. His work aims to solve complex problems related to heat and mass transfer, fluid dynamics, and the application of artificial intelligence in biostatistical analysis. His projects often incorporate cutting-edge techniques and interdisciplinary approaches to address real-world challenges. 💡🌊

Awards 

🏆 Dr. Salawu has received numerous awards and recognitions, reflecting his outstanding contributions to the field of mathematics. Notable honors include the AD Scientific Index Ranking for Scientists 2024, Bowen University Highest Published Award for the 2022/2023 academic session, and the Elsevier Recognition Award for publishing multiple open-access articles. He is also listed among the Top 2 percent of world scientists by Stanford University, USA. 🌟🎖️

Publications

Thermal case exploration of electromagnetic radiative tri-hybrid nanofluid flow in Bi-directional stretching device in absorbent medium: SQLM analysis – Case Studies in Thermal Engineering, 60, 104734 (2024) [Cited by: 15] Case Studies in Thermal Engineering

Heat radiation absorption and irreversibility of electromagnetic Williamson hybridized Al2O3-CoFe2O4/H2O nanofluid: A concentrated power generation – Journal of the Indian Chemical Society, 101, 101225 (2024) [Cited by: 10] Journal of the Indian Chemical Society

Computational analysis of transient thermal diffusion and propagation of chemically reactive magneto-nanofluid, Brinkman-type flow past an oscillating absorbent plate – Partial Differential Equations in Applied Mathematics, 11, 100761 (2024) [Cited by: 8] Partial Differential Equations in Applied Mathematics

Heat transfer analysis of thermal radiative over a stretching curved surface using molybdenum disulfide and silicon dioxide composite material under the influence of solar radiation – Multidiscipline Modeling in Materials and Structures, 24, 240038 (2024) [Cited by: 7] Multidiscipline Modeling in Materials and Structures

Numerical study electroconductive non-Newtonian hybrid nanofluid flow from a stretching rotating disk with a Cattaneo-Christov heat flux model – Journal of Process Mechanical Engineering, 24, 258019 (2024) [Cited by: 5] Journal of Process Mechanical Engineering