Dr Amin Paykani
PhD, FHEA, CEng, MIMechE
Lecturer in Sustainable Propulsion Systems
Research Lead of The Centre for Intelligent Transport
School of Engineering and Materials Science
Queen Mary University of London
Research
Combustion engineering, Zero/low carbon fuels, low-order modelling, Machine learning, thermal management
Interests
Amin Paykani is a Lecturer in Sustainable Propulsion Systems in the School of Engineering and Materials Science (SEMS) at Queen Mary University of London. Prior to joining QMUL, he held academic positions at the University of Hertfordshire and ETH Zurich. Amin's research is primarily focused on studying low/zero-carbon energy vectors for the decarbonisation of transport. He is renowned for his work on the creation of low-order and machine learning-assisted surrogate models, which aim to reduce computational costs in the study of reactive systems. He has been the recipient of several funding grants from EPSRC and Royal Society. He is always looking for high-quality PhD students and postgraduate visitors. If you are interested in any of the topics/areas, please contact me for more details.
Publications of specific relevance to the Centre for Intelligent Transport

Publications of specific relevance to the Centre for Intelligent Transport
2025
An ensemble learning algorithm for optimization of spark ignition engine performance fuelled with methane/hydrogen blendsTayarani-N. M-H and
Paykani A Applied Soft Computing,
Elsevier vol. 168
01-01-2025
Grants

Grants of specific relevance to the Centre for Intelligent Transport
Data-Driven Surrogate Modelling for Liquid Ammonia Direct Injection Spray CharacteristicsAmin Paykani£171,122
Royal Society31-03-2024 - 28-02-2027
International Exchanges 2022-GRANT TRANSFERAmin Paykani£6,000
Royal Society31-03-2023 - 31-10-2025
Spray cooling of electric traction motors with hairpin windings: An experimental and CFD analysis-GRANT TRANSFERAmin Paykani£58,087
Royal Society01-07-2023 - 31-12-2024