Research Grant on Restoration of Heritage using Digital Twin

In a continuation of a series of Middlesex-Egypt collaborations, London Digital Twin Research Centre (Middlesex University) has won a new Institutional Links grant under the Newton Fund Impact Scheme. The grant is led by Dr. Noha Saleeb, Associate Professor in Digital Technologies and Construction in partnership with Prof. Mohamed Marzouk, Professor of Construction Engineering and Management, Cairo University Egypt. The funding delivered by the British Council supports activities that aid in the development of Egypt’s economy using new digital twin technologies in alignment with the UN’s sustainability goals.

The project will be conducted simultaneously with the case study on Heritage assets in the UK and Egypt for mutual national benefits with the collaboration of industry and government parties namely Historic Environment Scotland, BurroHappold and Ministry of Housing Egypt.

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Working towards a National Digital Twin

Prof. Huan Nguyen (LDTRC) met with Mark Enzer, OBE (CDBB)

Prof. Huan Nguyen, Director of London Digital Twin Research Centre (LDTRC), has today met with Mark Enzer, Head of the National Digital Twin Programme at the Centre for Digital Built Britain (CDBB), to update the ongoing works at the two centres and share latest results on Digital Twin research. 

               

Prof. Nguyen said “It is amazing to find out that the development of a DT framework at our LDTRC to unify different twins is very much aligning with the ‘connecting the Twins’ work task at the National Digital Twin programme. We see great opportunities to work together to achieve common goals set out at both Centres towards developing a national Digital Twin.”

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N-Step Approach for Anomaly Detection in Smart Manufacturing

by Dr. Hrishikesh Venkataraman, External Collaborator and Project Partner, Indian Institute of Information Technology (IIIT)

The Indian Institute of Information Technology (IIIT), represented by Dr. Hrishikesh Venkataraman and Dr. Raja Vara Prasad, is an international collaborator of the London Digital Twin Research Centre (LDTRC). The research conducted in Sri City, India, aims to support and drive forward the advancements in our Digital Twin for Industry 4.0 project, with an extended focus on anomaly detection mechanisms that can be integrated in the Digital Twin for manufacturing processes.

As part of the project activity funded by the UK-India Education and Research Initiative (UKIERI) and the Department of Science and Technology (DST), India, the research paper “CATS: Cluster-Aided Two-Step Approach for Anomaly Detection in Smart Manufacturing” was accepted for publication in The Fourth International Conference on Computing and Network Communications (CoCoNet’20).

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Insight of the Week: Supervised Machine Learning and the Bias/Variance Trade-Off

by Stefan Viorel Mihai, Research Assistant, LDTRC

Digital Twins embody the driving force behind the Fourth Industrial Revolution, that is the promise of bridging the physical world and its virtual counterpart in a way that enables full-duplex, real-time, reliable communication between the two entities. With the advent of Big Data, IIoT, Cyber Physical Factories, and Artificial Intelligence, this no longer looks like a far-fetched idea, becoming instead an increasingly relevant objective for researchers to achieve. However, building such a complex system requires a strong grasp of the technologies involved and good foresight into risks and issues that might pose a challenge along the way. In this context, this week’s meeting of the London Digital Twin Research Centre focused on discussing one of the most prominent challenges in Machine Learning: the Bias/Variance Trade-Off. Continue reading “Insight of the Week: Supervised Machine Learning and the Bias/Variance Trade-Off”