معرفی
Dr. Giovanni Giustini is a Lecturer in Engineering Simulation & Data Science within the Mechanical and Aerospace Engineering department at the University of Manchester, affiliated with the Modelling & Simulation Centre. He holds an Honorary Lecturer position at Imperial College London's Mechanical Engineering Department. His research focuses on numerical simulation of complex flow phenomena, particularly multiphase and boiling systems, with emphasis on developing robust computational fluid dynamics (CFD) models for industrial applications in nuclear energy and propulsion. Key areas include bubble dynamics, microlayer formation, and phase-change mechanisms in high-pressure and microchannel environments.
Giustini's work contributes to UN Sustainable Development Goals related to affordable and clean energy (SDG 7) and industry innovation (SDG 9). He serves as Editor for Applied Thermal Engineering (Elsevier) and collaborates with institutions globally. Recent research highlights include buoyancy effects in microchannel flows, physics-informed neural networks for heat transfer prediction, and advanced CFD models for nucleate boiling phenomena.
His projects, such as the Fluids Research Group at Manchester, aim to bridge foundational numerical methods with practical engineering challenges. Current interests span thermal hydraulics, interfacial mass transfer, and high-fidelity simulation techniques applicable to nuclear reactor safety and energy systems optimization.
