Dr Amin Paykani
PhD, FHEA, CEng, MIMechE
Senior Lecturer in Sustainable Propulsion Systems
Research Lead- Centre for Intelligent Transport
Engineering 220, Mile End
| Feedback/ support hours: |
Tuesday 4pm-5pm & Thursday 4pm-5pm (Online) |
| Expertise: | Combustion engineering, Zero/low carbon fuels, low-order modelling, Machine learning, thermal management |
| Research Centre: | Intelligent Transport |
| Affiliations: |
Fellow of The Higher Education Academy (FHEA) Chartered Engineer (IMechE) EPSRC Peer Review College Member UKRI Talent Peer Review College Member |
Brief Biography
Amin Paykani is a Senior 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.
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PhD Opportunities
I currently have two funded PhD positions available. For full details and application information, please see the links below:
1. Plasma-Assisted Combustion of Sustainable Fuels (Home students) (www.sems.qmul.ac.uk/research/studentships/661/plasma-assisted-combustion-of-sustainable-fuels)
2. Machine learning model development for oil cooling optimisation for traction motors (CSC) (www.sems.qmul.ac.uk/research/studentships/677/machine-learning-model-development-for-oil-cooling-optimisation-for-traction-motors)
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PhD Opportunities
I currently have two funded PhD positions available. For full details and application information, please see the links below:
1. Plasma-Assisted Combustion of Sustainable Fuels (Home students) (www.sems.qmul.ac.uk/research/studentships/661/plasma-assisted-combustion-of-sustainable-fuels)
2. Machine learning model development for oil cooling optimisation for traction motors (CSC) (www.sems.qmul.ac.uk/research/studentships/677/machine-learning-model-development-for-oil-cooling-optimisation-for-traction-motors)