Winner of 2021 EPS Postgraduate Research 2nd Year Prize

The Smart System Group Congratulate Sonam Norbu who has been chosen as the Winner of 2021 EPS Postgraduate Research 2nd Year Prize from the Institute of Sensors, Signals and Systems, The School of Engineering and Physical Science (EPS). The prize will be awarded at the upcoming Annual EPS Postgraduate Research (PGR) Day, the 18th  October, […]


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Podcast: The Role of Robotics in the Future of Offshore Wind and Net Zero

We are thrilled to share details of a recent podcast, featuring Dr. Theo Lim of the Smart Systems Group. This broadcast was episode 24 of the Re-energise Podcast series, hosted by the Offshore Renewable Energy (ORE) Catapult. “Our clean energy revolution is in full swing, with the UK actively moving from fossil fuels to renewable […]


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Robotic Technologies in Offshore Wind

Published today in Power Technology, written by Yoana Cholteeva “As the need for better capabilities and more predictability in the offshore wind sector is growing, the industry has welcomed its collaboration with robotic technologies. Robotics and AI come as powerful tools to help unlock human potential, providing assistance and support to inform human decision making, often […]


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Robotic Engineering Superhero’s

Wind turbines harness the wind to produce energy, however, they can be quite dangerous to maintain. Offshore engineers are subjected to dangerous conditions which include hazardous weather conditions and environments. Robotic platforms which include robots for air, land and sea, can be used to complete inspection and maintenance missions to reduce the risk and increase […]


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Good Vibrations!

The Smart Systems Group are thrilled to share an online article published in Scottish Construction Now featuring research led by Dr. Daniil Yurchenko. Unused energy trapped within bridges is to be harvested in a major new international project led by Heriot-Watt University. Traffic and wind regularly cause low frequency vibrations to ripple through bridge building materials […]


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DIGIT Editor’s Pick | The Challenges and Opportunities of Big Data

Published online by Digit, the Smart Systems Group’s Professor David Flynn explores how industry, society and government extract future value from Big Data. Many businesses, organisations and government departments are increasingly interested in unlocking the value of big data analytics to gain a detailed insight into their stakeholders and market trends. However, this fascination with […]


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New Release: HOME Offshore Summary Brochure

The HOME Offshore team are pleased to announce the release of the new brochure, where we showcase how to de-risk offshore wind operations, reduce costs and make better use of assets through the applications of Modelling and Data Science, Machine Learning, Advanced Sensing and Robotics. An excellent academic and industrial collaboration thanks to the consortium […]


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New Publication: A Machine Learning Degradation Model for Electrochemical Capacitors Operated at High Temperature

Congratulations to Darius Roman, Valentin Robu and David Flynn for acceptance of their research to IEEE Access. Their publication “A Machine Learning Degradation Model for Electrochemical Capacitors Operated at High Temperature” was a collaborative work between the Smart Systems Group, the Argonne National Laboratory, Baker Hughes, the Center for Advanced Life Cycle Engineering (CALCE) and […]


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New method for controlling and sharing the benefits from community energy projects

Congratulations to Sonam Norbu, Benoit Couraud, Valentin Robu, Merlinda Andoni and David Flynn on the acceptance of their publication “Modelling the redistribution of benefits from joint investments in community energy projects” to Elsevier’s Applied Energy journal. Applied Energy provides a forum for information on innovation, research, development and demonstration in the areas of energy conversion and conservation, the optimal […]


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PhD opportunity: Digital surrogate of a microwave sensor system

We are pleased to announce an exciting new PhD opportunity, via our EPS scholarships 2021 programme. A microwave sensor system was created to detect the intrinsic and varying properties of materials via non-destructive evaluation. The system is made of a horn antenna and a frequency modulated continuous wave radar system that allows the processing of […]


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