Advanced Computing

About the Group

Led by Prof. James Brusey, the Advanced Computing group researchers develop cutting edge computational methods, and advance the cyber physical systems science. The research is applied to a variety of socio-technical systems, within the green transportation, energy and humanitarian sectors. The group draws on their expertise in the areas of artificial intelligence, machine learning, probabilistic approaches to reasoning about uncertainty, pervasive and ubiquitous computing, as well as intelligent wireless embedded systems. Research projects in this group include the following flagship projects: Design optimisation for efficient electric vehicles based on a user-centric approach (DOMUS), and Humanitarian Engineering and Energy for Displacement (HEED), both focussing on the use of machine learning to enhance socio-technical systems design in the energy sector.

Meet the Team

Ralph Kenna

James Brusey (Group Leader)

Practical deployment of wireless sensor networks, thermal comfort in buildings and car cabins.

j.brusey@coventry.ac.uk

Elena Gaura

Elena Gaura

Cyber Physical Systems design, IoT and the Internet of Energy, Data to Knowledge chains in sensors and internet enabled socio-technical systems; Humanitarian Energy.

e.gaura@coventry.ac.uk

Jonathan Nixon

Jonathan Nixon

Interdisciplinary engineering methods, solar and wind energy, and thermochemical and biochemical conversion technologies

ac2569@coventry.ac.uk

Kojo Gyamfi

Kojo Gyamfi

Machine learning techniques, such as dimensionality reduction, reinforcement learning, and function approximation neural networks.

gyamfik@uni.coventry.ac.uk

Kriti Bhargava

Kriti Bhargava

Fog Computing, Data Science, Machine Learning, Wireless Sensor Networks, Internet of Things.

Daniel Babalola Bammeke

bammeked@coventry.ac.uk

Brandi Jo Jess

jessb@coventry.ac.uk

Feba Chinnu Ninan

ninanf@coventry.ac.uk

Gayan Siri

sirimanm@coventry.ac.uk

Gaobo Chen

Gene Palencia

Dimitar Stoyanov

Projects

Feature Project: DOMUS – Design OptiMisation for efficient electric vehicles based on a USer-centric approach.

Range anxiety is one of the main barriers to electric vehicle (EV) adoption by the wider community; moreover, the ambient conditions (e.g. extreme hot or cold weather) profoundly affect the actual driving range which can be achieved.

As cabin heating and cooling represent the highest auxiliary loads drawing on the vehicle’s energy resources, the DOMUS project aims to deliver advanced solutions to lower significantly the energy demand for cabin conditioning while improving the user experience by developing, validating and applying a user-centric approach to EV design.

The overall aim of the DOMUS project is to reduce the overall energy consumption of future EVs in order to increase the 25% the electric range for different ambient conditions. This will be achieved by understanding in depth the comfort perception of EV users before developing reliable methodologies for designing and assessing the full vehicle context from a user-centric perspective, investigating radically new cabin designs and delivering innovative components, systems and control strategies to meet customer expectations. 

Coventry University will work with partners to provide an efficient, virtual method for the user-centric assessment of the energy use of a car cabin and climate control system, while ensuring it meets expectations for comfort and safety.


Other projects

STARGATE

Objectives: Reducing the amount of instrument cabling on turbine engines is key to more efficient testing, and will enable reduced wiring weight and complexity on production engines in the future. Read more about STARGATE project.

PULP SEED

Objectives: PULP-SEED’s aim is to make use of Wireless Sensor Network (WSN) technology to improve and streamline mango waste processing. Read more about PULP SEED project.

PE-SMS

Objectives: This proposal aims to develop a Post-Earthquake Structural Health Monitoring System (PE-SMS). The PE-SMS will be an end-to-end proof of concept wireless sensor network for collection, communication and aggregation of structural health data. Read more about PE-SMS project.

STAR

The aim of this institutional link is to design, implement and monitor a pilot low-carbon based energy solution with a sustainable business model to increase energy security, reduce environmental impact and improve economic and health indicators. Read more about STAR project.

Doctoral Opportunities

FCS PhD Opportunities

If you think you have what it takes to study for a PhD with us then take a look at the current PhD opportunities that are available within the Centre. We also welcome applications from suitably qualified self-funded or sponsored PhD candidates if they are in areas directly relevant to our research themes. The next step, once you have identified the research area of interest, is to contact the relevant academic and have an informal discussion with them. The academic can then advise you whether to proceed with a formal application.

Newton Institutional Links
FCS Engineering Doctorate Opportunities

Our Engineering Doctorate in Flow Measurement and Fluid Mechanics is a PhD-level qualification aimed at individuals who have a career, or wish to pursue a career, as an active researcher in industry. Typically, the Engineering Doctorate qualification is undertaken part-time, whilst working in industry. For employers it provides an opportunity to raise the level of skills of their research staff, allowing them to support the on-going developing of their own experts, who can influence and inspire those working around them. For individuals it provides the relevant technical, business and personal development required to become one of the senior technical managers of the future. For more information on our Engineering Doctorate Programme take a look at the course specification or contact us on research.eec@coventry.ac.uk.

View current PhD opportunities