| 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 |
