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- Real-World Applications of AI and ML in Digital Engineering
From medicine to consumer product design, sport to culture and art, practical, real-world applications of ML/AI techniques combined with engineering design methodologies are expanding rapidly. And whilst physics-based Machine Learning approaches are starting to make their way into the engineering simulation processes, generative AI is already revolutionising our engineering activities.
To explore, highlight, and discuss these ground-breaking developments, NAFEMS, together with the Alan Turing Institute, is organising an exclusive workshop on March 11th 2025, in Coventry, UK. We will be engaging with a broad range of voices from the engineering and R&D communities in academic, industrial and software organisations.
This event is being jointly organised with The Alan Turing Institute and supported by SuperAIRE Initiative, STFC Hartree Centre and the Manufacturing Technology Centre.
08:30 Registration
Chairman's Introduction & Welcome
Nadir Ince, GE Vernova
Morning Session : New Methodologies
Keynote Address - Data-Centric Engineering for Decarbonisation
Adam Sobey, The Alan Turing Institute
The Evolving AI Ecosystem and its Effect on Business Adoption
Jonathan Smith, STFC
10:45 Refreshment break
Opportunities for Generative AI in Design, Simulation, and Optimisation of Engineering Systems
Andrew Duncan, The Alan Turing Institute
Using AI Based Generative Design Systems to Trade Off Weight, Waste and Complex Performance Criteria
Mark Price, Queens University Belfast
12:15 Lunch break
13:15 Afternoon Session : ML/AI Applications
Physics-Informed Machine Learning for Wind Energy Applications
Jincheng Zhang, University of Warwick
Leveraging Scientific-ML for Additive Manufacturing Process Simulation
Ajit Panesar, Imperial College
Use of Artificial Intelligence Techniques in Turbomachinery Aero-thermodynamics
Shahrokh Shahpar, Rolls-Royce Plc
14:35 Refreshment break
Harnessing Machine Learning Techniques for Multi Modal Damage Detection
Samruddhi Mhatre & Ivan Letuchev, Airbus and Will Alden, CFMS
AI Potential for Aerodynamic Wheel Drag Predictions and Optimisation
Santhosh Jayaraju, Jaguar Land Rover
Utilising AI and ML in the Design Process within Aerospace
Tim Newman, National Composites Centre
Expert Led Panel Discussion Session & Closing Remarks
16:45 Close
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