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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