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SMART Technology Centre

‌A SMART system is a cyber-physical-biological system that adapts and responds meaningfully to the context and environment in which it is located. ‌‌We aim to advance fundamental theories, designs, methods, ‌processes and tools to build these systems.

SMART Technology Centre

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SMART Technology Centre
Previous projects

Previous projects

Funder: SP Energy Networks (SPEN), Energy Technology Partnership (ETP)
Description and objective: This research project aims to (a) provide SPEN with insight into the impact of the asset management decision process, defined by the Ofgem monetised risk model and (b) inform future investment strategies which may be introduced as a requirement for the next round of price control. The proposed research project includes the establishment of a robust and reliable asset performance model that can be used to estimate and inform the strategic investment decisions for the grid transmission systems.
Lead/team: Professor M Emad Farrag (PI), Professor Jim Baird (Co-I)
Funding to GCU: £84.3K
Duration: 3/2/20 to 2/8/23
SDG: 7 : Affordable & Clean Energy, 8 : Decent Work and Economic Growth

Funder: EPSRC ORCA-hub
Description and objective: The ROBMAN project will develop observer-based robust control algorithms for underwater vehicle-manipulator systems to stably interact with physical structures, such as underwater pipes, valves, energy and telecommunication cables and other assets. The project will be conducted in close collaboration with industry, with an industrial use-case in focus. It also brings together the expertise of robotic manipulation and path planning for surface inspection at Heriot-Watt University, the expertise of Glasgow Caledonian University (GCU) on developing robust and optimal control techniques for sea vehicles, and the industrial use case of i-Tech7, a brand name of the company Subsea7, on underwater applications.
Team: Dr. Mustafa Suphi Erden, Heriot-Watt University (Co-investigator), Dr. Ibrahim Kucukdemiral, Glasgow Caledonian University, (Co-investigator), Dr. Xiaoran Han, Research Associate (HWU), SubSea-7 (I-Tech 7) (Industrial Partner)
Budget: £300K
Duration: 18 months
Effective: March 2020-Aug 2021

Further information on this project

Funder: Energy Technology Partnership (ETP) and Scottish Power Energy Networks (SPEN)
Description and objective: Current techniques for fault-finding in buried power cables depend on “estimating” fault location rather than more precise pinpointing. This is a significant challenge and a major cost item for network operators. The consequences of such imprecision are: (1) high man-hour costs due to wide area excavations, (2) prolonged downtimes affecting revenue and supply security to customers, (3) extended traffic disruption due to roadworks. SPEN has identified this as a technical challenge. This project is studying the feasibility of a technology solution based on a wireless charging scanning device to achieve more precise fault localisation that would save time and cost, improve supply security to customers and mitigate the negative societal impact. The project team aims to deliver a design concept for the new technology solution that would be ready for a subsequent phase of scale up and field trial. Funding is provided for two separate projects through ETP and SPEN’s Network Innovation Allowance (supported by Ofgem) for a PhD studentship and a one-year RA.
Team: Dr. Ahmed Aboushady, Professor Mohamed E. Farrag
Budget: £83k plus £69k
Period: Feb 2019 - July 2022

Funder: Innovate UK Project in collaboration with Safehinge Primera
Description and objective: Improving care and recovery within Mental Health facilities through design thinking and smart technology to unobtrusively monitor risks, empower Clinicians with trend data and safeguard Service User Dignity. The KTP will provide the resource and expertise to accelerate this vision and place Safehinge as the market leaders in recovery-led Mental Health design.
Lead/team: Professor Mike Mannion ( PI), Peter Barrie (Co-I)
Funding to GCU: Innovate UK £159,225 – Safehinge Primera £78,424
Duration: 30 Months

Funder: Innovate UK project in collaboration with Aggreko Ltd
Description and objective: This project will develop solutions for remote asset prognostics in difficult environments by developing machine learning algorithms for prognostics applications designed to operate on low-power edge computing-based devices.
Lead/team: Professor Gordon Morison (PI) Peter Barrie (Co-I)
Research Centre: SMART Technology
Funding to GCU: £218k
Duration: 30 Months

Funder: Innovate UK Project in Collaboration with Precision Tooling Services Ltd.
Description and objective:
Lead/team: Professor Anjali Desilva (PI), Dr Ares Gomez (Co-I)
Funding to GCU: £211k
Duration: 30 Months

Funder: Royal Academy of Engineering
Description and objective: Design and development of an electric scooter prototype with a compact 3D printed electric motor and suitably modified chassis structure through additive manufacturing techniques specific to the Indian market. The project includes the integration of novel intelligent controllers and fast charging systems to suit the smart city requirements in India.
Lead/team: Professor M Emad Farrag
Funding to GCU: £25K
Duration: 24 months