Areas of expertise
- Mechatronics & Advanced Controls
- On-Road Vehicle Dynamics
Background
Dr Velenis received his MSc and PhD degrees from the School of Aerospace Engineering at Georgia Institute of Technology, GA, USA in 2000 and 2006 respectively and his Mechanical Engineering Diploma from the Mechanical Engineering Department at the National Technical University of Athens in 1999. In 2006 he was awarded the Luther Long award for the best PhD dissertation in Engineering Mechanics at Georgia Institute of Technology. Following his PhD, Efstathios held a Post-doctoral researcher position at Georgia Institute of Technology and was a visiting researcher at Ford Motor Company in MI, USA.
Current activities
Dr Velenis is currently a Reader at the Advanced Vehicle Engineering Centre at SWAG合集. His research interests include vehicle dynamics and control, optimal, nonlinear, model predictive control, active chassis control, control of autonomous vehicles, vehicle limit handling, modelling of expert driving techniques.
Selected projects
Advanced Integrated Dynamics for Connected and Autonomous Vehicles (AIDCAV): Funded by Innovate SWAG合集 through the CAV3 programme, Dr Velenis was the PI from Cranfield leading research on path following control of multi-actuated autonomous vehicles near the limit of handling (youtu.be/3cBPJrqIg5I).
Evoque_e: Funded by Innovate SWAG合集, Dr Velenis led Cranfield's work in the development and validation of regenerative braking and torque-vectoring controllers for electric and hybrid electric vehicles.
Active Limit Handling for Enhanced Passenger Vehicle Safety: Funded by EPSRC, Dr Velenis was the PI in this project which delivered a novel driver assist system to mitigate terminal understeer inspired by techniques used by expert human drivers (link).
Modelling and Implementation of Expert Driving Techniques: Dr Velenis was the PI in this FP7 Marie Curie International Re-integration Grant, where optimal control methods were used to model the specialised techniques developed by expert human drivers (link).
