The transition of AI into industrial maintenance faces significant challenges due to the inherent complexities of industrial operations, such as variability in components due to manufacturing, integration, dynamic operating environments and variable loading conditions. Therefore, AI in critical industrial systems requires more advanced capabilities such as robustness, scalability and verifiability. Our paper presents the first […]
Tag: Conference
MMLDT Conference – Autonomy and Me: Working Together for a Better Future
Congratulations to Mr. Daniel Mitchell, Mr. Sam Harper and Prof. David Flynn in their recent presentation at the Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology (MMLDT) Conference. This conference was held over September 26-29, 2021 and virtually in Hyatt Regency Mission Bay, San Diego, CA. Machine Learning (ML) and Digital […]
Smart Systems Group to Attend Offshore Technology Conference 2020, Houston
The Smart Systems Group will be represented at the Offshore Technology Conference 2020, following the acceptance of a technical paper advancing seminal work in non-invasive sensing of applied loads in geomaterials via millimetre-wave radar. Working in collaboration with the Institute of GeoEnergy Engineering, also at Heriot-Watt University, Jamie Blanche will present “Frequency Modulated Continuous Wave […]
Congratulations to Dr. Andoni and SSG Team for AAMAS 2020 Paper Acceptance
The Smart Systems Group team are proud to announce the publication of research led by Dr. Merlinda Andoni at the International Conference on Autonomous Agents and Multiagent Systems. “Strategic Decision-Making for Power Network Investments with Distributed Renewable Generation” represents one of 186 (23% of works submitted for publication) that were accepted as full papers, so […]
Low Carbon and Networks Innovation Conference 2019
Professor David Flynn was invited to talk at the 2019 LCN conference at the end of October. He introduced the challenges and opportunities of Big Data analytics in our energy infrastructure. Emphasising the value in close partnership between industry and academia in order to accelerate the innovation cycle required to address the climate emergence challenges.