Mathematician Brings Nanofluid Expertise To Students
Dr. Lateefat Olanike Aselebe’s journey reflects the increasingly global nature of mathematical research and education. After building an impressive research portfolio in Nigeria focused on nanofluid dynamics and thermal management systems, she has recently begun a new chapter as a volunteer mathematics tutor at Rochester Community and Technical College in Rochester, Minnesota, bringing her expertise […]
Dr. Lateefat Olanike Aselebe’s journey reflects the increasingly global nature of mathematical research and education. After building an impressive research portfolio in Nigeria focused on nanofluid dynamics and thermal management systems, she has recently begun a new chapter as a volunteer mathematics tutor at Rochester Community and Technical College in Rochester, Minnesota, bringing her expertise to American students while continuing her research collaborations internationally.
Since September 2025, Dr. Aselebe has been providing one-on-one and group tutoring in calculus, algebra, and geometry at RCTC, working to improve student understanding, confidence, and performance. The transition represents more than just a change of venue—it’s an opportunity to share insights gained from years of research and teaching across different educational contexts. She collaborates with faculty and fellow tutors to address student needs and strengthen tutoring programs, applying the same collaborative spirit that has characterized her research partnerships.
Her volunteer work at RCTC follows a period as an online mathematics tutor with TEMBUK Services Ltd., a UK-based company, where from 2024 through July 2025 she taught GCSE, IGCSE, and A-level mathematics. That experience in distance education, covering topics from basic algebra to advanced calculus, refined her ability to tailor lessons to individual student needs and learning styles—skills she now brings to Minnesota students facing their own mathematical challenges.
Dr. Aselebe’s research profile continues to expand even as she focuses on education. Her recent work on magnetohydrodynamic enhancement of solar collector efficiency using hybrid nanofluids, published in the Journal of Taibah University of Science in January 2025, was supported by a grant from King Faisal University in Saudi Arabia. The study demonstrates how Al₂O₃-Cu hybrid nanofluids with variable thermal conductivity can improve solar collector performance, research with direct implications for renewable energy systems.
Additional publications this year showcase the breadth of her mathematical interests. A paper in the Iranian Journal of Science and Technology examines heat transfer enhancement of Williamson hybrid nanofluid over stretchable solar panel plates, combining regression analysis with thermal optimization. Another study currently under review at ZAMM-Journal of Applied Mathematics and Mechanics, also supported by King Faisal University grant, investigates MHD tri-hybrid nanofluids over porous wedges for biomedical applications (Manuscript ID: 1107913)—research that could influence drug delivery systems and cancer therapy approaches.
Furthermore, her manuscript has been accepted for publication in the Journal of Thermal Analysis and Calorimetry, titled Mathematical Modeling of Magnetic Fe₃O₄ Nanoparticles in Blood with Heat Generation for Cancer Therapy Applications (Ref: Ms. No. JTAC-D-25-02368R1). In this work, she and her co-authors emphasize the significance of magnetic nanoparticle hyperthermia as a promising modality for cancer treatment. The study aims to deepen the understanding of magnetic nanoparticle behavior, specifically aggregate versus non-aggregate states, during hyperthermia, thereby contributing to the development of more precise and effective cancer therapy techniques. This research is supported by a grant from King Faisal University, Saudi Arabia.
Her ongoing research on heat transfer of MHD power-law tri-hybrid nanofluid with variable transport properties across stretching solar panels continues the thread that has defined much of her work: using advanced mathematical modeling to optimize thermal management in practical applications. These aren’t abstract exercises but investigations with potential impacts on energy efficiency and medical technology.
What makes Dr. Aselebe’s current position particularly interesting is how it complements her research trajectory. While tutoring college students in foundational mathematics, she’s simultaneously co-authoring papers on cutting-edge applications that those same mathematical principles enable. Her research on fractional calculus methods, published in early 2025 in collaboration with Associate Professor B.M. Yisa, explores solution techniques for complex integro-differential equations—the kind of advanced mathematics that rests on the calculus fundamentals she now helps students master.
Dr. Aselebe’s technical proficiency spans Python, Mathematica, Maple, and supervised machine learning, skills she developed through formal certifications from Stanford University and DeepLearning.AI. Her research methods include partial differential equation modeling, homotopy analysis, Finite element method, bivariate spectral weighted residual method, and Galerkin weighted residual methods—sophisticated approaches that address real engineering challenges.
The connections between her teaching and research remain strong. Understanding how students struggle with basic concepts informs how she communicates complex ideas in her academic papers. Conversely, her research success—with publications in prominent journals and international grant support—enriches her teaching by demonstrating mathematics’ real-world relevance.