Advances in the Digitalisation of the Process Industries 2025
Presentations — Day 1
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Plenary Presentation (Part 1): Asset-Based Modelling, Design, and Implementation of Industrial Control
Sarat Kumar Reddy Molakaseema, UniversalAutomation.org, Austria
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Plenary Presentation (Part 2): Asset-Based Modelling, Design, and Implementation of Industrial Control
Sarat Kumar Reddy Molakaseema, UniversalAutomation.org, Austria
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Plenary Presentation: Process Operations from Automation to Autonomy
Costas Pantelides, Siemens Process Automation Software / Imperial College London, UK
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Advanced process automation: Digital Twins and Process Control with Software-defined Process Automation
Raghav Tripathi, Siemens, UK
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Advanced process automation: Introducing ORTO – A Novel Approach Real-time Optimisation
Paul Oram, Ortomation, UK
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Advanced process automation: Replacing Missing Instrumentation with Data Science: Calculating Virtual Flow Rates for Chemical Injection
Murray Callander, Eigen, UK
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Advanced process automation: Showcase of Advanced Regulatory Control in British Sugar
James Caws, British Sugar, UK
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AI and machine learning: Machine Learning and Hybrid Modelling of Particle Breakage in a Jet Mill
Carl Jackson, Johnson Matthey, UK
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AI and machine learning: Using Machine Learning to Control Single-Pass Tangential Flow Filtration in Biopharmaceutical Processing
Bastian Oetomo, University of Melbourne, Australia
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Digital twin technology: A Roadmap for Model-based Bioprocess Development
Khadija Mu’azzam, DPS Engineering & Construction Limited, Ireland
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Digital twin technology: Bioprocessing 4.0: Minimising Cost of mRNA Vaccine Manufacturing
Kesler Isoko, University College London / University of Sheffield, UK
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Digital twin technology: Cloud-based Open-source Digital Twin for Biochemical Pilot Plant
Trung Trinh, SINTEF, Norway
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Digital twin technology: Hybrid Modelling and Optimisation Framework for Plant-Wide Real-Time Applications
Patrick Thorpe, Spiro, UK
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