Areas of expertise


Dr Stefano Longo (MSc, PhD, SMIEEE, MIET, CEng, FHEA) received his MSc in Control Systems from the Department of Automatic Control and System Engineering at the University of Sheffield in 2007 and completed his PhD in Control Systems in the Department of Mechanical Engineering at the University of Bristol in 2011. His PhD thesis was awarded the prestigious Institution of Engineering and Technology (IET) Control and Automation Prize for significant achievements in the area of control engineering.

In November 2010, he was appointed for the position of Research Associate in the Department of Electrical and Electronic Engineering at Imperial College London, where he worked in the intersection of the Control & Power, and Circuit & Systems Research Groups. He kept the position as Honorary Research Associate until 2016. He was appointed lecturer at Cranfield University in the summer of 2012.

His work and his research interests gravitate around the problem of designing and implementing advanced control and estimation algorithms in hardware, where the algorithm design and the hardware implementation are not seen as two separate and decoupled problems, but as a single interconnected one. These ideas have been applied to networked control systems (whilst at the University of Bristol), to parallelisable hardware for constrained optimal control and real-time optimisation (whilst at Imperial College London) and, more recently, to alternative powertrain control and testing.


Current activities

Dr Longo’s main activities are research, teaching and consultancy.
Dr Longo’s research focuses on the area of  optimisation-based control algorithm development and their implementation on embedded hardware. His international reputation builds on the publication of over 70 research papers in international journals and conferences.
He is the first author of the bookOptimal and Robust Scheduling for Networked Control Systems”. The book is based on his doctoral research work that was awarded the Institution of Engineering and Technology (IET) Control and Automation Prize for significant achievements in the area of control engineering.
As part of his activities, he is also involved in the organisation of international scientific meetings and he is a technical editor and reviewer for major journal and conferences (such as the ones owned by the IEEE and Elsevier).
Dr Longo is the Course Director for the MSc in Automotive Mechatronics where he teaches the modules “Mechatronics Modelling”, “Implementation of Control Systems” and contributes to the modules “Advanced Control and Optimisation”, “Vehicle Concepts and performance”, “Vehicle Electrification and Hybridisation” and “Applied Automotive Control.”
He supervises PhD and MSc students on projects related to his research area. 
Dr Longo’s funding mainly comes for EPSRC and Innovate UK, as his research is fundamental. He has recently received funding from Jaguar Land Rover, Charge Automotive and other engineering companies for projects related to vehicle localisation, powertrain control, thermal management systems and hardware-in-the-loop testing. His test rigs are located in the Mechatronics Laboratory and are available for research, teaching and consultancy.



Current projects

  • Innovate UK - ATI: "Zephyr Innovation Programme (ZIP)" (2016-18)
  • Innovate UK - EPSRC: "Revolutionary Electric Vehicle Battery (REVB)" (2013-17, EP/L505298/1)
  • EPSRC Global Challenge: "Development of a controllable DC-DC converter for dual energy source electric vehicles" (2016-17, EP/P510762/1)
  • Charge Automotive: PhD studentship in "Optimisation and control of hybrid vehicles thermal management systems"
  • Charge Automotive - Cranfield: PhD studentship in "Optimisation and control of hybrid vehicle powertrains"

Past projects

  • EPSRC: "Developing FUTURE Vehicles" (2012-16, EP/L505286/1)
  • EPSRC IAA: "Reconfigurable test rig for electric vehicle powertrain optimisation" (2015, EP/K503927/1)
  • Jaguar Land Rover: "Vehicle Localisation using GPS, INS, magnetometers and cameras" (2013-15)


    Articles In Journals

    Conference Papers


    • Longo S, Su T, Herrmann G & Barber P (2013) Optimal and Robust Scheduling for Networked Control Systems. Boca Raton: CRC Press.