Contact Dr Fernando Tejero Embuena

Areas of expertise

  • Computational Fluid Dynamics
  • Computing, Simulation & Modelling
  • Gas Turbines & Propulsion
  • Power Systems & Turbines

Background

Dr Fernando Tejero was awarded a 5-year full-time diploma in Mechanical Engineering from the University of Zaragoza (Spain) in 2011. Upon the successful completion of his postgraduate studies, he pursued a PhD in the topic of Flow Control in Aeronautics at the “Institute of Fluid Flow Machinery – Polish Academy of Sciences” in 2015. He joined Cranfield University as Research Fellow in Propulsion Aerodynamics in 2017 and is currently working as Lecturer in Propulsion Systems Design.

Fernando is involved in a wide range of research areas: computational fluid dynamics, numerical methods, gas turbine engine aerodynamics, multidisciplinary design optimization, data-driven methods and machine learning. He has an international standing built upon a well-established research track record and has been involved in research projects within the FP7 EU and Horizon 2020 programmes as well as in different ATI & INNOVATE UK projects.

As part of his teaching activities, Dr Tejero is leading the CFD for gas turbine module which is part of the Thermal Power MSc programme. He is also the module leader for the Thermofluids course within Premaster’s in Engineering.

Dr Tejero has received several fellowships throughout his career. This includes two grants for young researchers approved by the Spanish government and a Marie Curie fellowship to undertake his doctoral studies. He also received the Silver medal award during the Prof. J.W. Elsner competition in 2014.

Fernando has published +35 peer-reviewed journal publications, conference papers and book chapters. He has also filed 4 patents. Dr Tejero is Associate Editor of the "International Journal of Aeronautical and Space Sciences". He is an Associate Fellow of the Higher Education Academy in the UK.

Research opportunities

Dr Tejero is currently accepting PhD and Master by Research applications in the areas of multidisciplinary design optimization, data-driven methods, machine learning and flow control in aerodynamics. Please contact him if you would like to discuss any potential projects.

Current activities

Computational Fluid Dynamics

Engine/airframe integration

Numerical methods

Gas turbine engine aerodynamics

Multidisciplinary design optimization

Machine Learning

Clients

Rolls-Royce plc

Aerospace Technology Institute (ATI)

Innovate UK

European Commission

Clean Sky 2 Joint Undertaking


Publications

Articles In Journals

Conference Papers

Books