Rate My Professor David Fletcher

Professor David Fletcher serves as an Adjunct Professor in the Faculty of Engineering at the University of Sydney, specifically affiliated with the School of Chemical and Biomolecular Engineering. He holds a Bachelor of Science (BSc) and a Doctor of Philosophy (PhD) in mathematics, having completed his PhD in 1982. Fletcher's career includes prior experience at the UK Atomic Energy Authority and a long-standing association with the University of Sydney since 1993. In addition to research, he engages in PhD supervision and contributes to learning and teaching activities within his department. His ORCID identifier is 0000-0003-2221-4192, reflecting his active presence in academic scholarship.

As a specialist in computational fluid dynamics (CFD) modelling, David Fletcher develops sophisticated computer models addressing engineering challenges involving fluid flow, heat and mass transfer, chemical reactions, and coupled systems including fluid-structure interaction. His Google Scholar profile lists primary research interests in Computational Fluid Dynamics and Fluid Structure Interaction. Fletcher has authored 464 publications, accumulating over 15,500 citations according to ResearchGate, underscoring his substantial influence in the field. Notable contributions appear in diverse applications such as combustion processes, biomass gasification, natural convection in cavities, nasal irrigation delivery systems, subject-specific cardiovascular models, wave energy converters, photobioreactor performance, thunderstorm downbursts, and solar field wind effects. Key publications include "Validation of a Computationally Efficient Computational Fluid Dynamics Model for Natural Convection in Tall Cavities" (2014), "Nasal Irrigation Delivery in Three Post-FESS Models From a Novel Neti Pot Design" (2022), "From Scan to Simulation—A Novel Workflow for Developing Subject-Specific Left Ventricular Models" (2022), "Verification of fluid-structure interaction modelling for wave energy converters" (2023), "A modelling workflow for quantification of photobioreactor performance" (2023), and "A CFD based combustion model of an entrained flow biomass gasifier". He maintains an active portfolio of funded research and professional service, advancing numerical simulation techniques across chemical, biomolecular, and broader engineering domains.