There has been an exponential increase in usage of autonomous vehicles across the globe in the past few years. Traffic flow prediction is important for autonomous vehicles using which they decide their itinerary and take adaptive decisions. Read more
Traffic flows are the bloodstreams of a developed country. A failing transportation system impedes economic growth and deteriorates human lives. Read more
Supervisory Team. Dr Anil K Madhusudhanan. Project description. Significant reduction of carbon emissions is needed to mitigate the adverse effects of climate change. Read more
This research will address many issues related with efficient, reliable and quick exchange of information and data over sensor networks for intelligent vehicular traffic systems. Read more
Cyber attacks have become more widespread and several attacks have made headline news over the past decade, targeting industrial companies and governmental organisations. Read more
User experience and user privacy are important drivers in the design of the latest Internet applications. The aim of this research is to enable seamless use of new privacy-enhancing methods, when used across broadband radio access networks. Read more
This project is available through the MIBTP programme. The successful applicant will join the MIBTP cohort and will take part in all of the training offered by the programme. For further details. Read more
Ninety percent of the globe’s road traffic fatalities are located in Low- and Middle- Income Countries (LMICs) but the majority of research available to date addresses driver behaviour in high income countries. Read more
Collecting objects spread in an environment is key to real-world applications such autonomous precision agriculture, search and rescue operations, garbage collection, and mining in remote areas (e.g. Read more
Research Group:
School of Electronic & Electrical Engineering
The emissions attributed to communication networks continue to grow with growth in traffic. Currently ICT has a carbon footprint that is comparable to the global aviation industry. Read more
A multi-agent system (MAS) refers to a group of interacting robots or, more generally, dynamical systems. Typical examples are robot swarms, traffic flows, smart grids, communication networks, and transportation systems. Read more
Reference number. SCEBE/21SF/017/DL. Background. One of the most important public health concerns in our world today is the global epidemic of road crash fatalities and injuries. Read more
*Offer only available for the duration of your active subscription, and subject to change. You MUST claim your prize within 72 hours, if not we will redraw.
Monthly chance to win one of ten £10 Amazon vouchers; winners will be notified every month.*
Access to our £6,000 scholarship competition
Get funding opportunities & application tips
Weekly advice, student stories and study fairs
*Offer only available for the duration of your active subscription, and subject to change. You MUST claim your prize within 72 hours, if not we will redraw.
Create your myFindAPhD account to add this PhD to your shortlist to register for this event
Due to your Facebook privacy settings, we were unable to create your account at this time. Please select another method to sign up.
We were unable to log you in with your Google account at this time. If you have third-party cookies blocked, please enable them, refresh, and try again.
We were unable to log you in with your Google account at this time. If you have third-party cookies blocked, please enable them, refresh, and try again.
Continue with Facebook
Looking to list your PhD opportunities? Log in here.