Ms Sireetorn Kuharat
Biography | I am a dedicated engineering lecturer and researcher with extensive experience in teaching and mentoring students at both undergraduate and Master’s degree levels. My expertise lies in Engineering Structures and Engineering Computation, with a focus on numerical methods such as Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD). I am passionate about providing my students with both theoretical knowledge and practical skills, offering hands-on experience with industry-standard software tools like ANSYS, SOLIDWORKS, and MATLAB. Research Background: My research is centered on heat transfer nanofluid simulations for solar collectors. Recently, I have expanded my interests to include fluid-structure interaction (FSI) in biomedical applications, such as blood flow, and renewable energy, specifically wind turbine, solar collector technologies and more. Additional Roles: I supervise the Engineering Computation Society at the University of Salford, where I support students in enhancing their simulation skills and exploring applications in renewable energy, biomedical engineering, and more. Advocacy and Community Involvement: As an active committee member of Zonta London UK, I am committed to supporting women and girls through various projects. One such initiative is the Amelia Earhart Fellowship, a prestigious award designed to support women pursuing PhDs in aerospace engineering. Through this fellowship, we aim to empower and encourage women to excel in the field of aerospace engineering. |
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Research Interests | CFD in biomedical and energy systems Hydrocyclones Fluid structure interaction in cardiovascular engineering Hybrid nanofluids in solar collectors and nano-coatings Automotive aerodynamics Wind turbine aerodynamics and aeroacoustics. |
Teaching and Learning | MSc Engineering Computation M2 MSc Aerospace Assembly M2 Finite Element Analysis & Structural Mechanics E3 Aircraft Design Enterprise E2 Project students’ supervision Dissertation students' supervision |
Scopus Author ID | 57205408848 |