Contact Dr Efstathios Siampis
Areas of expertise
- Autonomous Systems
- Computing, Simulation & Modelling
- Electric and Hybrid Vehicles
- Instrumentation, Sensors and Measurement Science
- Mechatronics & Advanced Controls
Background
Dr Siampis is a Senior Lecturer in Control and Optimisation in the Advanced Vehicle Engineering Centre (AVEC). His research and teaching focus on optimal control and estimation for the next-generation of Hybrid/Electric and Autonomous Vehicles. He has extensive experience in developing model-based control and estimation algorithms 鈥� from concept and simulation through to experimental validation on full-scale prototype platforms.
Before joining 探花精选 as a member of academic staff, Dr Siampis worked in industry as a Control Engineer at Delta Motorsport, where he led control and estimation development for high-performance electric vehicles featuring multiple Electric Machines and Brake-by-Wire systems. His industrial work contributed to multiple Innovate UK and APC-funded programmes with major UK partners and OEMs, bridging advanced control research with real-world vehicle demonstrators.
At 探花精选, Dr Siampis contributes to both teaching and research activities in the areas of Advanced Control and Optimisation. He leads the MSc Automotive Mechatronics course and the modules Vehicle Electrification and Hybridisation and Path Planning and Decision Making. His research explores integrated control and optimisation approaches for over-actuated vehicles, including nonlinear and predictive control, control allocation under actuator constraints, active suspension and aero-control systems, and driver-in-the-loop simulation.
Dr Siampis has been involved in several collaborative R&D projects funded by the ATI, APC and Innovate UK, covering themes such as active suspension, hydrogen actuation systems, and electric powertrain optimisation. His work has been published in leading journals including IEEE Transactions on Control Systems Technology, Vehicle System Dynamics, and Sensors.
His overarching goal is to promote advanced control and optimisation methods into deployable solutions that enhance vehicle safety, performance, and energy efficiency in both human-driven and autonomous vehicles.
Research opportunities
- Control and Estimation, Optimisation: Model Predictive Control, Kalman Filtering, offline and online (real-time) optimisation
- System Modelling: vehicle and tyre modelling, Electric and Hybrid Electric powertrain, active suspension systems
- Applications: vehicle control/estimation, active suspension/aero control, lap-time optimisation, autonomous vehicle path planning and following control, adversarial and co-operative control, vehicle range/powertrain optimisation, electric/hybrid energy management systems
Current activities
Research Projects
- Project Dragonfly: Cryogenic Hydrogen Valves for Aerospace (Aerospace Technology Institute)
- Project Additive: Wheel Motor and Active Suspension (Advanced Propulsion Centre)
- CREATION: Independent 4-Corner Electric Actuation (Niche Vehicle Network)
- AIDCAV: Advanced Integrated Dynamics for Connected and Autonomous Vehicles (Innovate UK)
Teaching responsibilities
2024 to date
- Automotive Mechatronics Course Director
2020 to date
- Vehicle Electrification and Hybridisation Module Leader
- Vehicle Design, Propulsion and Performance
- Mechatronics Modelling for Vehicle Systems
- Individual Research Project - Supervisor
2020-2022
- Automotive Mechatronics Group Design Project Module Leader
2023 to date
- Path Planning And Decision Making Module Leader
PhD student projects
- "Development of a Strategy to Generate a Formula 1 Car Aeromap from a Limited Number of Test Points"
- "A Cooperative Motion Control Framework for Connected and Autonomous Vehicles in an Urban Multi-Intersection Road Network"
- "A Non-Linear Optimal Strategy for Simultaneous Planning and Tracking of Autonomous Vehicles"
MSc student projects
I have supervised more than 50 MSc students for their Individual Research Project (IRP), many in collaboration with companies such as Aston Martin, Porsche, Koenigsegg, Continental, Dumarey and Dynisma. Students under my supervision have been the recipients of prizes for best IRP, winning the 鈥淲orshipful Company of Coachmakers and Coach Harness Makers Prize鈥� and the 鈥淗odgetts Memorial Prize鈥�. Selected projects:
- Pavement irregularity detection based on YOLOv5
- 鈥楥onnected horizon鈥� energy management system for a hybrid HGV
- BEV power electronics bi-directional thermal management
- Tire wear estimation using machine learning methods
- Vehicle body control using road prediction and a novel active suspension system
- Powertrain optimisation through laptime simulation for a high performance vehicle.
- Multi-actuated scaled car development and testing
- Reduced tyre modelling for vehicle dynamics control
- Simulation based testing and validation of ADAS level 鈥�3 functionality by considering KPIs like normal behaviour, safety and passenger comfort
- Comparison of dynamic vehicle models in the prediction of vehicle side slip angle using kalman filtering methods