Seminar program

Hybrid modeling in the Industry 4.0 [27th Sep | Sala de Atos Bld IV]

9.00-9.10 Welcome address
9.10-9.40 Data management in the industry 4.0, Martin Mayer, Eppendorf AG
9.40–10.10 Risk & Knowledge Management: Supporting Operational Excellence over Lifecycle in Biopharma Operations, Prof José C Menezes, IST
10.10-10.40 Scale-up of a reaction step from lab to commercial scale, switching from batch to continuous manufacturing using a mechanistic modelling approach, Dr. Filipe Ataide, Hovione 
10.40–11.00 Coffee Break
11.00–11.30 Succesful implementation of machine learning methods for chemical synthesis planning,  Dr. Thomas Mrziglod, Bayer AG
11.30–12:00 Structured data-driven approaches for process monitoring and prdictive anaçytics,  Prof Marcos Reis, Universidade de Coimbra
12.00–12.30  Applications of Hybrid Models for Downstream Processes: a Tangencial Flow Filtration Case Study, MSc Maximilian Krippl, BOKU University
12.30–13.30 Lunch
13.30-14.00 Towards model predictive control of CHO cultures, Dr. Wolfgang Sommeregger, Bilfinger AG
14.00–14.30 Using Hybrid Modeling and Intensified Design of Experiments  to Reduce Bioprocess Development and Characterization Times, Dr. Mark Dürkop, NOVASIGN
14.30–15.00 Hybrid modeling for culture media optimization, Prof. Rui Oliveira, FCTUNL
15:00-15.30 Coffee Break
15.30-16.00 Assembling an end-to-end framework for training, validation and deployment of hybrid models, Dr. Manfred Mücke,  Materials Center Leoben GmbH
16.00-16.30 Machine learning for bioprocess development, Dr. Moritz von Stosch, GSK Belgium
16.30-17.30 “Hybrid modeling in the industry 4.0” Panel Discussion & Closing Ceremony