Areas of expertise

  • Autonomous Systems
  • Computing, Simulation & Modelling
  • Electric and Hybrid Vehicles
  • Instrumentation, Sensors and Measurement Science
  • Mechatronics & Advanced Controls
  • On-Road Vehicle Dynamics
  • Systems Engineering


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 (Assistant Professor) at Cranfield University in 2012, promoted to Senior Lecturer in 2017, and to Reader (Associate Professor) in 2020.

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 and chassis control.

Since 2019, Dr Longo has taken the position of Head of Automotive at Embotech AG, an ETH spin-off company specialising in embedded optimisation with applications to autonoous driving.

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 80 research papers in international journals and conferences.

He is the first author of the book 'Optimal and Robust Scheduling for Networked Control Systems(external)'. 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.

He has co-authored the 3rd Edition of the best-selling book "Modern Electric, Hybrid, and Fuel Cell Vehicles".

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).


Until 2019, Dr Longo was the Course Director for the MSc in Automotive Mechatronics and MSc in Advanced Motorsport Mechatronics, where he still teaches the modules 'Mechatronics Modelling for Vehicle Systems', 'Embedded Vehicle Control Systems' and contributes to the modules 'Advanced Control and Optimisation', 'Vehicle Electrification and Hybridisation' and 'Applications of Vehicle Control.'


Dr Longo's funding mainly comes for EPSRC and Innovate UK, as his research is fundamental as well as applied. He has also received funding from Jaguar Land Rover, Arrival 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.


  • Nissan Motor Co. Ltd
  • Innovate UK
  • Engineering and Physical Sciences Research Council


Articles In Journals

Conference Papers