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GIVING BIRTH TO A COMPREHENSIVE DIGITAL TWIN
Time: 12:00 pm – 15:00 pm, 8th October 2025 Overview of the Conference: “GIVING BIRTH TO A COMPREHENSIVE DIGITAL TWIN” What is a Digital Twin, how are they built, and what can they bring to current and future product development environments? A Digital Twin can be developed to capture complex or simple product behaviour, but…
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BREAKING BARRIERS: Swansea University hosts inaugural Google DeepMind Research Ready programme, opening doors to AI careers for underrepresented students
Time: 1st August 2025 Ten talented undergraduate students from across the UK recently completed a transformative eight-week journey into artificial intelligence research through the Google DeepMind Research Ready programme at Swansea University, running from 9th June to 1st August 2025. Selected from a highly competitive pool of over 65 applicants, students from Swansea, Durham, Newcastle,…
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Modeling and simulation of viscoelastic liquid crystal elastomers
Time: 14:00-15:00, 30/07/2025 Combining the self-organisation of liquid crystals (LCs) with the flexibility of elastomers results in a special class of stimuli-responsive solid materials called liquid crystal elastomers (LCEs). These materials deform in response to changes in the LC orientation driven by temperature variation, electric, magnetic, or optical fields, and their LC alignment changes when…
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SUMMER LEARNING: three Zienkiewicz Institute students selected to attend International Data Science, Learning and Optimisation summer school in Italy
Three talented students from Swansea University’s Zienkiewicz Institute recently returned from an inspiring and formative week at the international DataSLO Summer School, held in the picturesque town of Norcia, Italy, from June 23–27, 2025. Fully funded to attend through the Phoenix project, Eman Alhayki, Rosie Finnegan, and Harry Bevan joined peers and faculty from around…
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Characterising Optimisation Landscapes via Trees and Networks
Time: 13:30, 10 July 2025 We often conceptualise the optimisation function as being on the continuous 1D line. Here, the bottom of “dip”s local are local minima, and the “peak”s are saddle-points between them. We can see the landscape of the underlying function clearly and it is easy to see its structure and features. In two…
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DSLgene: Data-driven Statistical Learning of generalised mechanics of textile composites
Project Overview In this project, funded by the Royal Society Project number NIF\R1\241753, we aim to revolutionise the current artificial intelligence modelling approaches of textile reinforcements by integrating machine learning with the extensive wealth of physics knowledge. This facilitates the development of robust material models of textile reinforcements with unparalleled reliability (in terms of extrapolatability),…
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Collaborative and Creative Engagements with AI
Time: 14:00 – 15:30 (BST), 4 July 2025. In his talk, Dr Piotr Mirowski explores human-machine collaboration and participatory AI, drawing on his work at Google DeepMind on sustainability and climate, as well as his research on AI-supported co-creation and computational creativity. Dr Piotr Mirowski is a Senior Staff Research Scientist at Google DeepMind and a…
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MadeAI2025: The 2nd International Conference of Modelling, Data Analytics and AI in Engineering
Time: 7-11 July 2025 This event serves as a dynamic platform for the exchange of ground breaking ideas and insights. Delve into the powerful synergy of modelling, data analytics, and AI in engineering, uncovering new opportunities to advance innovation and solve complex challenges. The conference is dedicated to driving research and fostering transformative breakthroughs in…
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Computational Methods for Multiscale, Multiuncertainty and Multiphysics Problems
Time: 1-4 July 2025 Over the past two decades, research in multi-physics, multi-scale, and multi-uncertainty modeling has grown significantly, driven by advances in mathematical methods, numerical strategies, and computational power. This field integrates homogenization, parallel computing, and stochastic analysis, with applications ranging from materials science to biomedical engineering. The CM3P(Computational Methods for Multiscale, Multi-uncertainty and…
