Procter & Gamble Featured PhD Programmes
Imperial College London Featured PhD Programmes
London School of Economics and Political Science Featured PhD Programmes

University of Bradford Computer Science & IT PhD Projects, Programs & Scholarships

We have 31 University of Bradford Computer Science & IT PhD Projects, Programs & Scholarships



All disciplines



All locations



University of Bradford

PhD Type

PhD Type

All PhD Types



All Funding

We have 31 University of Bradford Computer Science & IT PhD Projects, Programs & Scholarships

PhD saved successfully

Automatic Engineering Knowledge Extraction from Automotive Field Failure Data

  Research Group: Advanced Automotive Analytics Research Institute
This project, carried out in conjunction with a major global automotive manufacturer, aims to develop, implement and validate a model-based systems engineering (MBSE) based knowledge engineering approach to underpin data-driven learning from automotive operational reliability data, specifically warranty data. Read more

Robust Machine Learning Models for Automotive Warranty Heterogeneous Data

  Research Group: Automotive Research Centre‌
This project, carried out in conjunction with a major global automotive manufacturer, aims to develop and validate machine learning algorithms for semantic processing of heterogeneous data available from operational automotive systems warranty databases, and the automatic generation of data models. Read more

Consumers’ authenticity perception towards smart technologies in the service industry

  Research Group: School of Management
Consumers nowadays are constantly searching for a sense of authenticity, and businesses, particularly for those in the service industry, are also endeavouring to offer authentic experiences to customers. Read more

IoT and AI-supported Decision Support System for Circularity Decisions

  Research Group: Applied Computing
The traditional linear economy using a take‐make‐dispose model is resource intensive and has adverse environmental impacts. Circular economy (CE), which is regenerative and restorative by design, is recommended as the business model for resource efficiency. Read more

The Development of New Models for the Prediction of Vehicle Brake Judder Under Transient Conditions

  Research Group: Mechanical and Process Engineering
The increasing provision of regenerative braking on road vehicles will enable the friction brakes to be downsized, with an associated weight and cost saving, but their performance (torque generated, fade resistance, durability, pedal feel and resistance to the development of judder) must meet established user standards. Read more

Testing Robotics and Autonomous Systems Using Search-based Techniques

  Research Group: Applied Computing
Robotics and Autonomous Systems (RAS) are becoming indispensable for human productivity and it is estimated that there will be a £13 billion global market for RAS by 2025. Read more

Safety and Reliability Analysis of Cyber-Physical Systems

Modern cyber-physical systems such as the autonomous vehicles, unmanned aerial vehicles, distributed and cloud-controlled robotics, telehealth systems, water distribution network, and smart energy grids are made more sophisticated and fault-tolerant by including new functionality and capabilities into them. Read more

Safe and Secure IoT-enabled Smart Systems

In recent years, the Internet of Things (IoT) has received a lot of attention from industry and academia. It is envisaged that by 2025, over 80 billion devices around the globe will be connected to the Internet. Read more

Responsible AI for Health and Social Care

The increasing adoption of Artificial Intelligence (AI) technologies that could impact humanity raises increasing concerns from general public, industry and regulatory bodies. Read more

Impact of Sediment Transport and Vegetation to the Reservoir Hydrodynamics within Fluvial Environment

Reservoirs and dams are popular control mechanisms for different water resources around the world. However, lately, there have been increasing incidences of reservoir failure linked to sediment transport and vegetation within its environment, that have caused massive financial and social impacts. Read more

Explainable AI: Making Machine/Deep Learning models explainable

Traditional Artificial Intelligence(AI) technologies such as Machine/Deep learning used in developing intelligent/smart solutions largely rely on utilising best representative test datasets and features engineering and less on the available domain expertise. Read more

Applications of graph theory in data science

The aim of the project is to use and apply the discrete mathematics and data visualisation techniques such as graphs, trees, combinatorics etc, to enhance existing clustering techniques in big graphs with potential applications such as nature language processing. Read more

Filtering Results