Submit your abstract. 1st Round Deadline - 19 October 2025
In an era defined by climate challenges, resource constraints, and rapid technological advancement, the need for sustainable practices has never been more urgent or complex.
The main theme of this year’s conference, Resilient Sustainability through CAPE, reflects the shift toward integrating resilience through design and the critical role computer-aided process engineering has when developing innovative tools and adaptive, efficient systems that can withstand uncertainty while minimising environmental impact.
This conference brings together leading minds to explore how advanced modelling, simulation, optimisation, and data-driven decision-making can drive sustainable transformation across sectors.
This conference theme explores the vital role of CAPE tools and methodologies in enabling the transition to a circular economy. We invite submissions that showcase innovative applications of process modelling, simulation, optimisation, and data analytics to design and manage sustainable processes.
Key areas of interest include, but are not limited to:
Enhancing resource efficiency, facilitating waste reduction, promoting industrial symbiosis, developing closed-loop systems, and assessing the environmental and economic impacts of circular processes across their lifecycle.
This conference theme focuses on the application of CAPE tools and methodologies to accelerate the development and deployment of clean energy technologies. We invite submissions showcasing innovative applications of process modelling, simulation, optimization, and data analytics across the entire clean energy value chain.
Key areas of interest include, but are not limited to:
Renewable energy production, hydrogen technologies, carbon capture, utilization and storage (CCUS), energy storage solutions, and integrated energy systems. Contributions addressing enhanced efficiency, reduced environmental impact, and economic viability are particularly welcome.
This conference theme investigates the application of CAPE tools and methodologies in navigating the inherent uncertainties of future industrial landscapes. We invite submissions that showcase innovative approaches to designing, operating, and managing processes in the face of unpredictable economic, environmental, technological, and regulatory changes.
Key areas of interest include, but are not limited to:
Robust design and optimisation, stochastic programming, scenario planning, risk analysis, resilience engineering, and the integration of data-driven methods for predictive analytics in uncertain environments.
This conference theme explores the transformative applications of CAPE across the pharmaceutical and biotechnological sectors. We invite submissions showcasing innovative uses of process modelling, simulation, optimisation, and data analytics to enhance drug discovery, development, manufacturing, and bioprocessing.
Key areas of interest include, but are not limited to:
Upstream and downstream bioprocessing, small molecule synthesis, drug delivery systems, cell and gene therapies, quality-by-design (QbD) initiatives, Process Analytical Technology (PAT) in biomanufacturing, digital twins and industry integration, sustainability, and regulatory compliance.
This conference theme looks at the critical role of modelling and simulation as core pillars of Computer Aided Process Engineering. We invite submissions showcasing innovative approaches to developing, validating, and applying process models across different scales and complexities.
Key areas of interest include, but are not limited to:
Fundamental thermodynamic and transport models, reaction engineering, dynamic simulation, multi-scale modelling, data-driven modelling, and the use of simulation for process design, optimisation, control, and troubleshooting.
This conference theme provides a foundational platform for exploring the fundamentals underpinning Computer Aided Process Engineering. We invite submissions that address novel concepts, cutting-edge methods, and state-of-the-art tools, that drive the evolution of CAPE through new scientific discoveries, computational advancements, and the increasing complexity of process systems.
Key areas of interest include, but are not limited to:
New modelling paradigms, advanced optimisation algorithms, numerical methods, data science and AI applications, software architectures, and the integration of diverse computational approaches for process system engineering.
This conference theme investigates the core functionalities of Computer Aided Process Engineering in driving innovation across process design, efficient scheduling, and comprehensive optimisation. We invite submissions showcasing advanced methodologies and computational tools for developing new processes, optimising existing ones, and managing complex production schedules.
Key areas of interest include, but are not limited to:
Conceptual and detailed process design, synthesis of optimal flowsheets, production planning and scheduling, supply chain optimisation, and the application of diverse optimisation techniques to achieve technical, economic, and environmental objectives.
This conference theme focuses on the synergy between process control and operational strategies within CAPE. We invite submissions that showcase innovative applications of CAPE tools – including dynamic modelling, simulation, optimisation, and data analytics – to design, implement, and operate complex process systems effectively.
Key areas of interest include, but are not limited to:
Advanced control strategies, dynamic modelling and simulation for control, real-time optimisation, fault detection and diagnosis, process monitoring, alarm management, and the development of intelligent operational decision support systems.
This conference theme looks at the multifaceted applications of Computer Aided Process Engineering beyond traditional research and industrial operations, focusing on its impact in education, knowledge dissemination, and the creation of new businesses. We invite submissions focusing on innovative teaching methods, industry-academia collaboration, and start-up creation.
Key areas of interest include, but are not limited to:
Practical application in teaching including virtual labs, gamification, project-based learning, and online education, knowledge transfer and dissemination, CAPE-driven start-up ventures, business model development, techno-economic analysis for new ventures, CAPE in concept to commercialisation, developing future-ready professionals, bridging the gap between academia and industry.