معرفی
Professor Xi Jiang is a Professor of Mechanical Engineering at the School of Engineering and Materials Science, Queen Mary University of London (QMUL). He leads research in thermofluid modelling and simulation for sustainable energy utilisation, with a focus on cleaner combustion, carbon storage, and thermal management. He has previously held academic positions at Lancaster University, Brunel University, and international institutions, and currently leads an active research group funded by EPSRC, EU, and industry.
Research Interests: His expertise lies in applying advanced computational methods to sustainable energy challenges. Key areas include:
- Thermofluid modelling for clean combustion of alternative fuels
- Molecular dynamics and machine learning for fuel property prediction
- Geological carbon storage and CO₂ sequestration
- Thermal management in batteries and computing systems
- Digital twin development for marine engine decarbonisation
- High-performance computing (HPC) applications in energy systems
His recent publications show a strong trend toward integrating machine learning with molecular dynamics and combustion simulation to accelerate the design of low-carbon fuels and reduce emissions. The research spans scales from nanoscale molecular interactions to field-scale geological processes.
Scientific Awards:
- Gaydon Prize, Combustion Institute (British Section)
Editorial and Professional Roles: Subject Editor, International Journal of Computer Mathematics; Editor, Nature Scientific Reports; EPSRC Peer Review College Member. He has served on various research assessment panels and conference organising committees.
Advising and Grants: Professor Jiang supervises multiple PhD students working on topics including ammonia combustion, molecular dynamics of biofuels, and digital twins. His research is supported by significant grants, including a current £436,930 EPSRC project on synthetic fuels for difficult-to-decarbonise transport. Previous funding includes projects from EPSRC, EU, and Royal Society.
Laboratory and Research Group: He leads a computational research group specialising in high-fidelity simulations using HPC. The group focuses on cross-cutting themes of net zero, digital design, and data-driven energy solutions.
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