Theodore Dalamagas
SEEK ID: https://hub.ibisba.eu/people/176
Location:
Greece
ORCID:
https://orcid.org/0000-0002-5002-7901
Joined: 14th Feb 2023
Expertise: Not specified
Tools: Not specified
Roles
Project administrator
Their tagsRelated items
Real-time online monitoring of bioprocesses
Industrial biotechnology (IB) has the potential to create new markets while protecting the environment. With this in mind, the EU-funded BIOINDUSTRY 4.0 project will pave the way for IB to become a major manufacturing technology. Supporting the digitalisation of IB, the project will create new services delivered by European research infrastructure. These will address several challenges, focusing on the acceleration of bioprocess development pipelines. ...
Projects: Industrial-scale penicillin simulation, Scorpion antivenom nanobody production in Escherichia coli (Recombinant bispecific VHH), Production of the monoclonal antibody Trastuzumab in Komagataella phaffii (Pichia pastoris) for breast cancer treatment, Bioindustry4.0 Work Package 7: Tools for high-quality datasets, requisite for data-driven methods and services, Hybrid Physics-Informed Neural Networks for Efficient Computational Modeling: A Workflow Framework Applied to Schwanniomyces occidentalis, Saccharomyces cerevisiae, Pseudomonas putida use case, STAMM: Soft sensor moniToring and mAintenance framework for Machine learning Models, Pichia pastoris fermentation, Bioindustry4.0 Public dissemination, Bioindustry4.0 Work Package 2: Dissemination, Communication Exploitation and capacity building, Data Fabric Usage Demos, raw2ready, SCHEMA, Joint Action Research - INRAE-UAB in Pichia pastoris, Joint xylitol fermentations monitored by Kaiser and Timegate Raman devices, UAB - Komagataella phaffii Use Case, Bioindustry4.0 Work Package 5
Web page: https://www.bioindustry4.eu
The increasing adoption of automation and digitalization in biomanufacturing has led to the proliferation of high-frequency, multi-source sensor data from bioreactors and associated analytical devices. However, raw data generated by different equipment vendors are typically heterogeneous in format, structure, sampling frequency, and naming conventions, which poses a substantial barrier to automated data processing and meaningful cross-instrument integration. Without harmonization, sensor time ...
Programme: Bioindustry 4.0
Public web page: https://gitlab.com/arc3972240/bioindustry/raw2ready
ROR ID: https://ror.org/0576by029
Department: Not specified
Country: Greece
City: Marousi
Web page: https://www.athenarc.gr/
Abstract (Expand)
Authors: Georgios K Georgakilas, Brett Metcalfe, Ariane Bize, Matthew Crowther, Emilie Fernandez, Susana Maria Alonso Villela, Stuart Owen, Rudolf Wittner, David Camilo Corrales, Anselm von Gladiss, Peter Blomberg, Munazah Andrabi, Cesar Arturo Aceves Lara, Hans Mattila, Marily Wiebe, Theodore Dalamagas, Jasper J Koehorst
Date Published: 2026
Publication Type: Journal
