Dr Mehdi Jangi BEng, MSc, PhD, CEng MIMechE

Dr Mehdi Jangi

Department of Mechanical Engineering

Contact details

Department of Mechanical Engineering
University of Birmingham
B15 2TT

Mehdi Jangi is a lecturer of Thermo-fluid dynamics within Mechanical Engineering.

Mehdi has published over 40 peer-reviewed papers in the field of high-fidelity computational fluid dynamics (CFD) modelling of turbulent reacting flows in advanced gas turbine and engine applications. His main research interest is Large-eddy simulation (LES) of complex flow systems that involve turbulence, chemical reactions, and multiphase flows.

He is expanding his research area by developing numerical tools for modelling multiphase flows that involves large deformation at the interface of the two phases, mainly for modelling fluid flows in microfluidic systems. He has received the prestigious VR research grant from Swedish Research Council. He has been invited and given lecturers in summer schools in China.

His main areas of teaching are modules on energy conversion and fluid systems, and computational fluid dynamics.

Mehdi is currently looking for high quality PhD students, and post graduate research visitors. Please send your CV and sample of your works (publications, etc.) in you are interested in working with him. 


Member of the Institution of Mechanical Engineers

  • Chartered member of the Institution of Mechanical Engineers (CEng MIMechE), 2017
  • Docentship in Swedish education system, 2013
  • PhD in Aerospace engineering, 2009
  • MSc in Aerospace Engineering, 2002
  • BSc (Hons) in Mechanical Engineering, 2000


Mehdi Jangi gained a PhD in Aerospace Engineering from Japan (Tohoku University), in 2009. After completion of his PhD study, he moved to Sweden to undertake a post-doctoral research position in the Department of Energy Science at Lund University, in Sweden.

He undertook multiple research positions at Lund University from 2009 until late 2015. In 2013, he gained the Docentship title (the highest academic degree in Sweden). In 2014, he received a prestigious Swedish Research Council grant (VR) to study the problem of partially premixed combustion in extreme conditions, which is related to the combustion chamber environment of modern gas turbine and engines.

Mehdi moved to Australia in late 2015 when he secured his first lectureship position. In 2016, he moved to the UK and joined Northumbria University in Newcastle as a senior lecturer before joining the school of Mechanical Engineering at the University of Birmingham in January 2018.


Mehdi teaches Mechanical Engineering.

Postgraduate supervision

Mehdi is interested in supervising doctoral research students in the following areas:

  • Large-eddy simulations (LES) of turbulent combustion in modern gas turbine and engines
  • Fire simulations
  • LES of multiphase flows
  • Modelling flows that involves acoustic perturbations
  • Modelling bubbles and droplets with large deformation in microfluidic applications. 


Research themes

Combustion Engineering, Computational Fluid Dynamics (CFD), Microfluidics.

Research activity

Predictive modelling of combustion in extreme conditions

With funding from the Swedish Research Council (VR), Mehdi is working on predictive modelling of combustion at elevated ambient temperature and pressure. Under this research fund, Mehdi is supervising a PhD project, and developing a predictive numerical tool based on LES with an accelerated Eulerian Stochastic Fields method to investigate:

  • The role of low temperature chemistry in formation and propagation of reaction fronts in engine-like conditions
  • The role of split injections in mixture formations and combustion of modern engines

Fire plume-acoustic interaction

In a collaboration with a Chinese University partner, Mehdi is developing a predictive numerical tool to investigate the physics of fire plume when it is subjected to acoustic perturbations.

Droplet-Surface Acoustic Waves (SAWs) interaction

In a collaboration with another UK academic partner, Mehdi is developing a predictive modelling tools to better understand the physics of droplet/bubble deformation subjected to SAWs forces.

Short videos associated with the research



Hodzic E, Jangi M, Szasz R-Z, Bai X-S (2017), Large eddy simulation of bluff body flames close to blow-off using an Eulerian stochastic field method, Combustion and Flame, 181: 1-15

Gong C., Jangi M., Bai X-S, Liang L-H, Sun M-B (2017), Large eddy simulation of hydrogen combustion in supersonic flows using an Eulerian stochastic fields method, International Journal of Hydrogen Energy, 42: 1264-1275

Jangi M., Dlugogorski B. Z. (2017), On wall fire interaction in a small pool fire: A large-eddy simulation study, Fire Safety Journal, 192: 199-209. 

Jangi M., Altarawneh M., Dlugogorski B. Z. (2016), Large-eddy simulation of methanol pool fires using an accelerated stochastic fields method, Combustion and Flame, 173: 89-98 

Jangi M., Zhao X., Haworth D. C., Bai X-S (2015), Stabilization and liftoff length of a non-premixed methane/air jet flame discharging into a high-temperature environment: An accelerated transported PDF method, Combustion and Flame, 162: 408-419

Pang K-M, Jangi M., Bai X-S, Schramm J. (2015), Evaluation and optimisation of phenomenological multi-step soot model for spray combustion under diesel engine-like operating conditions, Combustion Theory and Modelling, 19: 279-308

Mehdi Jangi, Rickard Solsjo, Bengt Johansson, Xue-Song Bai (2015), On large eddy simulation of diesel spray for internal combustion engines, International Journal of Heat and Fluid Flow, 53: 68-80

Jangi M., Lucchini T., Gong C., Bai X-S (2015), Effects of fuel cetane number on the structure of diesel spray combustion: An accelerated Eulerian stochastic fields method, Combustion Theory and Modelling, 19: 549-567

Gong C., Jangi M., Bai X-S (2015), Diesel flame lift-off stabilization in the presence of laser-ignition: a numerical study, Combustion Theory and Modelling, 19: 696–713

Pang K-M, Jangi M., Bai X-S, Schramm J. (2015), Evaluation and optimisation of phenomenological multi-step soot model for spray combustion under diesel engine-like operating conditions, Combustion Theory and Modelling, 19: 279-308

Gong C., Jangi M., Bai X-S (2014), Large eddy simulation of n-Dodecane spray combustion in a high pressure combustion vessel, Applied Energy, 136: 373-386 

View all publications in research portal