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Constitutive Modelling by Symbolic Regression
Time: 11:00 am – 12:00 pm, 9th September 2025 Location: Computational Foundry (Bay Campus), Robert Recorde Room (102) Speakers: Prof. Mikhail Itskov, Department of Continuum Mechanics, RWTH Aachen University, Aachen, Germany Overview of the Seminar: Symbolic regression represents an interesting method of machine learning which allows an unbiased, automated generation of constitutive models for various…
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Zienkiewicz Institute Community Event – July 2025
Time: 23rd July 2025 Location: B001, Engineering Central, Bay Campus Speakers: Chenfeng Li, Arnold Beckmann, Djordje Peric, Khiêm Vu Ngoc, Fabio Caraffini, PhD Students Overview of the Conference: Programme:• 09:30-10:00: Welcome coffee & collection of your FREE ZI polo shirt• 10:00-11:00: Celebrating ZI’s achievements and looking ahead to new opportunities.• 11:00-12:00: Launch of the ZI…
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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 Location: Computational Foundry (Bay Campus), Robert Recorde Room Contact Information: megan.venn-wycherley@swansea.ac.uk Overview of the Conference: 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.…
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Modeling and simulation of viscoelastic liquid crystal elastomers
Speaker: Rabin Poudel is currently a PhD student in the School of Mathematics at Cardiff University. His PhD Research is on mathematical modelling and numerical simulation of the mechanical behaviour of liquid crystal elastomers. His Research interest lies in solid mechanics, material modelling and finite element simulation. He obtained his MSc degree in Civil Engineering…
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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
Speaker: Jonathan Fieldsend is Professor of Computational Intelligence in the Department of Computer Science at the University of Exeter. His work primarily sits at the interface of optimisation and machine learning, where he develops methods and algorithms for the optimisation of industrial problems, typically with multiple objectives. Jonathan is currently an Associate Editor of the…
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Collaborative and Creative Engagements with AI
Speaker: Dr Mirowski’s research spans reinforcement learning, navigation, weather and climate forecasting, and socio-technical systems for human-machine collaboration. He is the author of over 80 papers and patents applying AI to real-world challenges. A trained actor, he also founded and directs Improbotics, a theatre company where humans and AI-powered robots co-create live improvised performances. He…
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MadeAI2025: The 2nd International Conference of Modelling, Data Analytics and AI in Engineering
Conference Introduction: 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 these fields,…
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Computational Methods for Multiscale, Multiuncertainty and Multiphysics Problems
Conference Introduction: 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 Multi-physics Problems)…
