The conference will focus on highlighting interdisciplinary areas of Chemical Engineering, as well as current trends, recent developments, and research in fields such as Biochemical Engineering, Biomedical Engineering, Nanotechnology, Electrochemistry, Green Chemistry, Sustainable and Circular Development, Machine Learning, Safety and Hygiene in Chemical Processes, Environmental Protection, Energy Transition, and the mitigation of Climate Change impacts.

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This course aims to provide an overview and advanced insight into data analytics and modeling methodologies for process data. The lectures will present fundamental concepts to visualize high-dimensional and highly correlated process and product quality data, identify the important process drivers, and forecast the process and product quality behavior. Hands-on and brainstorming sessions will be used to solve case studies from the (biopharmaceutical) industry. After the course, the participants will be aware of relevant techniques and literature for process data analysis and will be able to evaluate different analysis paths for a given problem.

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The symposium aims to create a space where industry professionals can connect with peers who are driving digital bioprocessing practices within their organisations, exchange learnings, and build a strong community around best practice. Participants will have the opportunity to hear directly from industry experts and academic innovators, who will share insights, real-world applications, and forward-looking perspectives through dedicated talks and panel discussions. The symposium also offers hands-on exposure to the latest technologies driving digital bioprocessing, including interactive demonstrations, live use-case showcases, and facilitated sessions with the tools and platforms accelerating digital transformation.

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