Towards Industry 4.0: Real-Time Monitoring, Hybrid Modeling and Predictive Control in Pichia Pastoris Fermentations
Doctoral Thesis
Description
The Doctoral Thesis advances recombinant Pichia pastoris (Komagataella phaffii) fermentation engineering by integrating real-time monitoring, hybrid modelling, and predictive control aligned with Industry 4.0 principles. Using HBcAg, LegH, and Qβ producing strains, key fed-batch challenges were addressed: sensors were validated, data processing methods developed, and the prediction capabilities of mechanistic, data-driven, and hybrid models with transfer learning were compared. PI- and MPC-based control was implemented to ensure stable and robust process operation.
About the author
Additional information
| Publication type | |
|---|---|
| Defence date | 29.04.2026. |
| Format | |
| Pages | 205 |
| Publication date | |
| Published online | |
| Publication language | |
| Publisher | RTU Press |
| Country of Publication | Latvia |
| Funding source | ES Atveseļošanas un noturības mehānisma atbalstu projekts, European Social Fund |
