Senior Researcher, University of Queensland, Australia
Sadegh Sadeghi is a Ph.D. candidate in Mechanical Engineering at the University of Queensland, Australia, specializing in Computational Fluid Dynamics (CFD), ventilation design, multi-phase flow, combustion, and renewable energy. He has authored over 45 publications in high-impact journals with an H-index of 15. Sadeghi’s innovative research focuses on advancing numerical models for improving health, safety, and air quality in high-risk environments. His work bridges academia and industry, contributing to the design of ventilation systems and sustainable energy solutions. His academic journey is highlighted by a fully funded Ph.D. scholarship and recognition as a top tutor. Passionate about research, Sadeghi aims to leverage his expertise to drive solutions in computational modeling, climate change, and air quality management.
Profile
Education
Sadegh Sadeghi holds a Ph.D. in Mechanical Engineering from the University of Queensland, Australia (2021–2024). His research focuses on the development of advanced Computational Fluid Dynamics (CFD) models to study airborne contaminant transmission using integrated dynamic and overset meshing techniques. His work is a blend of academic excellence and practical application in ventilation and safety systems. He received the prestigious UQ Graduate School Scholarship (UQGSS) in 2020 and ranked first in the scholarship round among mechanical engineering applicants. His Master’s degree in Mechanical Engineering from Iran University of Science and Technology (2012-2015) involved thermodynamic modeling and optimization of Kalina Cycle systems. Additionally, Sadeghi’s academic journey is marked by several awards for his research and teaching performance, including top rankings in national entrance exams and recognition as a top tutor.
Experience
Sadegh Sadeghi has accumulated extensive research and industry experience in both academia and the private sector. He has served as a CFD Specialist and Senior Researcher at Smart PV Co. Ltd., Iran, where he designed solar-driven heating and cooling systems. Additionally, he has worked as a Research Assistant at Iran University of Science and Technology, focusing on mathematical modeling of diffusion flames fed with biomass particles. His work experience also includes roles as a CFD Specialist at Espidan Co. Ltd. and as a researcher at Felezab Co. Ltd., where he contributed to the design of heating and cooling systems for ventilation purposes. As a teaching assistant at the University of Queensland, Sadeghi has mentored students in Fluid Mechanics, Computational Mechanics, and CFD, making notable contributions to student learning and practical sessions. His professional roles have provided him with hands-on experience in advanced fluid dynamics and energy systems.
Research Focus
Sadegh Sadeghi’s research is centered on the application of Computational Fluid Dynamics (CFD) to enhance the design and optimization of ventilation systems, especially in high-risk environments. His work investigates multi-phase flow phenomena, including gas, liquid, and solid interactions, with applications in contaminant dispersion and droplet transport. Additionally, he explores renewable energy technologies, including biomass combustion and the integration of renewable energy into power plants. A key area of focus is the development of advanced CFD models to simulate dynamic fluid behavior in complex environments. By applying these models, Sadeghi aims to improve air quality, optimize energy systems, and enhance safety measures in industrial, residential, and non-residential settings. His innovative research also spans fluid mechanics, thermodynamics, and sustainable energy solutions, positioning him as a leader in these interdisciplinary fields.
Publication Top Notes
- Thermal conductivity enhancement of phase change materials for low-temperature thermal energy storage applications
- Thermodynamic analysis and optimization of a geothermal Kalina cycle system using Artificial Bee Colony algorithm
- A novel economic analysis and multi-objective optimization of a 200-kW recuperated micro gas turbine considering cycle thermal efficiency and discounted payback period
- Optimization of a modified double-turbine Kalina cycle by using Artificial Bee Colony algorithm
- Analytical development of a model for counter-flow non-premixed flames with volatile biofuel particles considering drying and vaporization zones with finite thicknesses
- Performance analysis and multi-objective optimization of an organic Rankine cycle with binary zeotropic working fluid employing modified artificial bee colony algorithm
- An asymptotic assessment of non-premixed flames fed with porous biomass particles in counter-flow configuration considering the effects of thermal radiation and thermophoresis