Contact Dr Abbas Fotouhi

Areas of expertise

  • Electric and Hybrid Vehicles
  • Mechatronics & Advanced Controls
  • On-Road Vehicle Dynamics
  • Low Carbon Technology
  • Vehicle Engineering & Mobility


Dr Abbas Fotouhi is a lecturer (assistant professor) in Advanced Vehicle Engineering Centre at Cranfield University. He has more than fifteen years research experience in dynamical systems modelling, simulation, optimization, and control. He has also extensive practical and algorithmic experience of applying Artificial Intelligence and Machine Learning techniques in engineering problems. Before joining Cranfield, he was with the Centre for Artificial Intelligence and Robotics (CAIRO) at University Technology Malaysia. His current research is more focused on vehicular systems including hybrid and electric vehicle powertrain systems, energy storage technologies and autonomous cars. He is also interested in applications of AI and machine learning in Intelligent Transportation Systems.

Dr Fotouhi is part of the academic panel who lead MSc course in Connected and Autonomous Vehicles and MSc course in Automotive/Motorsport Mechatronics at Cranfield University. He has supervised more than 30 MSc and PhD students and his total writing portfolio lists over 30 peer-reviewed journal articles and book chapters. After joining Cranfield University, Dr Fotouhi has been also heavily involved in research bid development with a total projects’ cost of over £19m, where he was successful to contribute to more than £1.8m income generation as an investigator (Co-I or PI). He is an editorial board member of Neural Computing and Applications Journal, editorial board member of the Journal of Smart Science, associate editor of International Journal of Strategic Engineering and guest editor of International Journal of Powertrain (IJPT) and journal of Energies. He is a fellow of the UK Higher Education Academy and fellow of the Faraday Institution in UK. 

Research opportunity

MSc by research and PhD opportunities are available in the following main areas:

* Electric and Hybrid Electric Vehicles

* Vehicle Autonomy and ADAS

* Intelligent Transportation Systems

* Applied AI and Machine Learning

If you are interested in any of those topics or you may have your own idea, please first email me to discuss it. To apply for a PhD position, fill in our online application form at, mentioning your preferred supervisor's name on the form.  Advanced Vehicle Engineering is part of our Transport Systems 'theme', so don't worry if the application form has this as the subject area.

Students are normally expected to identify their own source of funding, e.g. an employer or a nationally-funded scholarship.  From time to time, we have funding for PhD scholarships - we always advertise these at 

Current activities


MSc modules in Automotive Engineering, Automotive Mechatronics and Motorsport.

Selected lectures:

  1. Transport system optimisation

  2. Vehicle battery technology

  3. Introduction to AI and machine learning

  4. Black-box modelling technique

  5. Introduction to MATLAB programming

Research areas:

  • Energy storage systems (battery HIL test, battery modelling and state estimation, lithium-sulfur battery,...)

  • Advanced vehicle technologies (EV and HEV powertrain design, optimization and control, automated driving and autonomous cars, ...)

  • Intelligent transportation systems  (vehicle-terrain interactions, fleet management systems, driving cycle development,...)

  • Artificial intelligence and machine learning (applications of AI and ML in transport systems, intelligent mobility, Motorsport, ...)

Research projects:

  • Innovate UK Project: Developing the Isothermal Control Platform (ICP) as the Basis of New Proposed Standards for the Testing of Lithium Batteries for Use in Evs, Total £448k; Cranfield WP £82k, June 19 to Dec 20.  PI Dr D Auger, Co-I Dr A Fotouhi.

  • Horizon 2020 Project (grant agreement ID 814471), LISA: Lithium Sulfur for Safe Road Electrification, Total € 7,900,000; Cranfield WP € 465k, Jan 19 - May 2022.  PI Dr D Auger, Co-Is Dr A Fotouhi and Professor J Brighton.

  • Innovate UK Project (TS/R013780/1) LiS:FAB - Lithium Sulfur: Future Automotive Battery (Advanced State Estimation and Management Algorithms, Total £4,637,075; Cranfield WP £860k, Apr 18 to Mar 21.  PI Dr D Auger, Co-Is Dr A Fotouhi, Professor J Brighton.

  • Horizon 2020 Project (grant agreement ID 666157) ALISE: Advanced Lithium Sulfur Battery for xEV, Total € 6,852,301; Cranfield WP € 112k, Mar 18 - May 2019.  PI Dr D Auger, Co-I Dr A Fotouhi.

  • EPSRC IAA, Commercial deployment of model and estimator calibration techniques for Li-S battery management algorithms, £27k, 2017, Dr A Fotouhi, Dr D Auger.

  • ATI Project (TS/P003818/1) Zephyr Innovation Programme (ZIP) - development and integration of novel lithium-sulfur battery management and state estimation algorithms for UAVs, Cranfield WP: £245k, May 17 - Dec 18.  PI Dr D Auger, Co-Is Dr S Longo, Dr A Fotouhi.

  • EPSRC Project (EP/L505286/1) Revolutionary Electric Vehicle Battery (REVB) - design and integration of novel state estimation/control algorithms & system optimisation techniques, Cranfield WP: £469k, Feb 14 - Apr 17, PI Dr D Auger, Co-I Dr S Longo, RF Dr A Fotouhi.

Dr Fotouhi's team:

  • Dr Mehdi Soleymani (Research fellow in EV battery management algorithms)

  • Chun-wei Chang (PhD candidate in Human-like Motorway Lane Change Control for AVs)

  • Zhaozhong Zhang (PhD candidate in Driver Distraction Detection)

  • Zihao (Oscar) Bai (PhD candidate in Automated Decision Making for AVs)

  • Xuze (Lewis) Liu (PhD candidate in F1 and FE Racing Strategy Development)

  • Hanwen Zhang (PhD candidate in Vehicle Battery Management Algorithms)

Graduated Students: Irmiya Inniyaka (MSc in 2015-16), Lu Zhang (MSc in 2016-17), Rahul Khatry (MSc in 2016-17), Salih Yousif (MSc in 2017-18), Victor Calvo Serra (MSc in 2017-18), Javier Biera (MSc in 2017-18), Momen Abdallatif (MSc in 2017-18), Zihao Bai (MSc in 2017-18), Yan Cai (MSc in 2017-18), Lichao Yang (MSc in 2017-18), Ayush Maheswari (MSc in 2017-18), Sayi Kumar (MSc in 2017-18), Xuze Liu (MSc in 2017-18), Zhiyu Sun (MSc in 2018-19), Fanghao Xu (MSc in 2018-19), Apurv Sharma (MSc in 2018-19), Varun Pai (MSc in 2018-19), Hanwen Zhang (MSc in 2018-19), Ilyes Miri (MSc in 2018-19), Pradhan Neelakandan (MSc in 2018-19), Haolin Zheng (MSc in 2018-19), Alberto Borges Salas (MSc in 2018-19), Anthony VAN WAMBEKE (MSc in 2018-19), Markos Papadimitriou (MSc in 2018-19).


Articles In Journals

Conference Papers