by Oi Pui Hoang | Aug 10, 2026 | Article, Publication
As AI and machine learning become embedded in industrial biotechnology, more soft sensors are being built to monitor and predict process behaviour in real time. But building a model is only the first step keeping it accurate and reliable once deployed is a separate,...
by Uliana Reutina | Aug 10, 2026 | Article, Publication
As industrial biotechnology becomes increasingly digital and data-driven, the amount of information generated by fermentation experiments continues to grow. But generating more data does not automatically make that data more useful. Without consistent ways to describe...
by Sandra Youssef | May 15, 2026 | Publication
Smart biomanufacturing is no longer a future concept, it is now actively reshaping how biological processes are designed, monitored, and scaled. The fusion of automation, digitalisation, and biotechnology promises faster innovation, cleaner production, and more...
by Oi Pui Hoang | Jan 16, 2026 | Article, Publication
The landscape of biotechnology is undergoing a major shift driven by Artificial Intelligence, pushing innovation into territories we never previously imagined. However, this rapid momentum raises urgent questions regarding ethics, security, and safety. A recent study...
by Oi Pui Hoang | Jun 30, 2025 | Publication
Some of our latest research has been published in Systems & Control Transactions under the title “A Physics-Informed Approach to Dynamic Modeling and Parameter Estimation in Biotechnology”. This study explores the use of physics-informed neural...
by Ines Sarazin | Feb 27, 2025 | Announcement, Article, Publication
New publication delves into Machine Learning based soft sensors Real-time predictions in fermentation processes are crucial because they enable continuous monitoring and control of bioprocessing. This research ties into previous work and publication and introduces a...
