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We have 20 Artificial Intelligence (vehicle) PhD Projects, Programmes & Scholarships

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Artificial Intelligence (vehicle) PhD Projects, Programmes & Scholarships

We have 20 Artificial Intelligence (vehicle) PhD Projects, Programmes & Scholarships

Artificial Intelligence based Electric Vehicle Motor Design

Electric vehicle development has been a hot topic around the world. This PhD programme will develop artificial intelligence based computational tools to accelerate electric vehicle motor design and optimization process. Read more

Vehicle Re-Identification Using Self-Supervised Vision Transformers

Vehicle re-identification (Re-ID) is one of the primary components of an automated visual surveillance system. It aims to automatically identify/search vehicles in a multi-camera network usually having non- overlapping field-of-views. Read more

Real-Time Brain Injury Prediction and Protection Framework for Intelligent Vehicles

The advancement of intelligent vehicles (IVs) has significantly improved their collision avoidance capabilities under normal driving conditions, yet the complete prevention of accidents remains elusive. Read more

PhD in Thermal route optimization of predictive controls to improve BEV efficiency using AI & ML

Route information has significantly improved the optimization of hybrid vehicle propulsion by determining the most efficient power source for different parts of a journey. Read more

Model Predictive Control for Autonomous Vehicles and Robots [SELF-FUNDED STUDENTS ONLY]

  Research Group: Visual Computing
Model predictive control (MPC) is a family of modern control methods that have demonstrated impressive performance in a variety of scenarios, including in robotics and autonomous vehicle control. Read more

Model Predictive Control for Autonomous Vehicles and Robots

  Research Group: Visual Computing
Model predictive control (MPC) is a family of modern control methods that have demonstrated impressive performance in a variety of scenarios, including in robotics and autonomous vehicle control. Read more

Digital Twins in Cyber Security Analysis of Connected and Autonomous Vehicles (DTCS-CAV)

Connected and automated vehicle (CAV) technology plays a significant role in the exciting transportation revolution today in the UK, offering road safety, high efficiency, less emission and a better user experience. Read more

Model Predictive Control for Autonomous Vehicles and Robots [Self Funded Students Only]

Model predictive control (MPC) is a family of modern control methods that have demonstrated impressive performance in a variety of scenarios, including in robotics and autonomous vehicle control. Such methods rely on models that can predict a system's future behaviour in response to control inputs in order to find the optimal actions that drive the system to a desired state. Read more

State estimation for fault diagnosis and fault-tolerant control of redundant robotic systems

CRADLE is an EPSRC funded Prosperity Partnership that brings together the industrial experience that Jacobs have in applied robotics and autonomous systems (RAS) with the research expertise at the University of Manchester in this field. Read more

Robust perception, decision making and path prediction for autonomous vehicles

Development of autonomous vehicles are seeing a grown in many different applications. As we increase the levels of automation and move into Self-driving cars, it is expected that these systems will combine a variety of sensors to perceive their surroundings in a robust manner and avoid human errors. Read more

Robust perception, decision making and path prediction for autonomous vehicles

 . Development of autonomous vehicles are seeing a grown in many different applications. As we increase the levels of automation and move into Self-driving cars, it is expected that these systems will combine a variety of sensors to perceive their surroundings in a robust manner and avoid human errors. Read more

Machine Learning and Hyper-heuristics

Hyper-heuristics (HH) have been successfully used to solve combinatorial problems from different problem domains, such as vehicle routing, bin packing and constraint satisfaction problems. Read more

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