12 Publikationen
2024 | Konferenz - Poster | ELSA-ID: 11605
Trilling-Haasler, M., Tebbe, J., Lange-Hegermann, M., & Schneider, J. (2024). Yeast filtration with rotating membrane filtration – a new approach for an economical recovery of beer form surplus yeast . 39th EBC Congress 2024, Lille.
ELSA
2023 | Konferenz - Poster | ELSA-ID: 10201 | 
Hernández Rodriguez, T., Ramm, S., Lange-Hegermann, M., & Frahm, B. (2023). A systematic, model-based workflow for risk-based decision making in upstream development. BioProcessingDays 2023, Recklinghausen, Germany.
ELSA
| Download (ext.)
2023 | Konferenzband - Beitrag | ELSA-ID: 10787
Tebbe, J., Pawlik, T., Trilling-Haasler, M., Löbner, J., Lange-Hegermann, M., & Schneider, J. (2023). Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system. In 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) (pp. 1–7). IEEE. https://doi.org/10.1109/INDIN51400.2023.10217913
ELSA
| DOI
2023 | Konferenzband - Beitrag | ELSA-ID: 9930
Lange-Hegermann, M., Schmohl, T., Watanabe, A., Schelling, K., Heiss, S., & Rubart, J. (2023). KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer. In T. Schmohl, A. Watanabe, & K. Schelling (Eds.), Künstliche Intelligenz in der Hochschulbildung: Chancen und Grenzen des KI-gestützten Lernens und Lehrens (Vol. 4, pp. 161–172). transcript Verlag. https://doi.org/10.14361/9783839457696-009
ELSA
| DOI
2023 | Konferenz - Poster | ELSA-ID: 11381
Hernández Rodriguez, T., Ramm, S., Lange-Hegermann, M., & Frahm, B. (n.d.). A systematic, model-based workflow for risk-based decision making in upstream development. 14th European Congress of Chemical Engineering and 7th European Congress of Applied Biotechnology, Berlin, Germany. DECHEMA e.V.
ELSA
2023 | Konferenz - Vortrag | ELSA-ID: 11383
Hernández Rodriguez, T., Posch, C., Pörtner, R., Lange-Hegermann, M., Wurm, F. M., & Frahm, B. (2023). Model-assisted design strategies for bioprocesses – Advanced statistical methods in industrial upstream cell culture. 14th European Congress of Chemical Engineering and 7th European Congress of Applied Biotechnology, Berlin, Germany. DECHEMA e.V.
ELSA
2022 | Konferenz - Poster | ELSA-ID: 7932
Hernández Rodriguez, T., Ramm, S., Lange-Hegermann, M., & Frahm, B. (n.d.). A systematic, model-based workflow for risk-based decision making in upstream development. 5th annual Bioprocessing Summit Europe, Barcelona, Spain.
ELSA
2022 | Sammelwerk - Beitrag | ELSA-ID: 10193
Hernández Rodriguez, T., Sekulic, A., Lange-Hegermann, M., & Frahm, B. (2022). Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design. In R. Pörtner & J. Möller (Eds.), Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing: Vol. special issue (pp. 21–48). MDPI. https://doi.org/10.3390/pr10050883
ELSA
| DOI
2022 | Konferenz - Poster | ELSA-ID: 10198
Hernández Rodriguez, T., Pörtner, R., Lange-Hegermann, M., Wurm, F. M., & Frahm, B. (n.d.). A systematic, model-based approach for decision making in upstream development – Considerations regarding clone selection and cell expansion. 27th Meeting of the European Society for Animal Cell Technology (ESACT): Advanced Cell Technologies: Making Protein, Cell, and Gene Therapies a Reality, Lisbon, Portugal .
ELSA
2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 11377
Hernández Rodriguez, T., Sekulic, A., Lange-Hegermann, M., & Frahm, B. (2022). Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design. Processes, 10(5), Article 883. https://doi.org/10.3390/pr10050883
ELSA
| DOI
2021 | Konferenzband - Beitrag | ELSA-ID: 7581 |
Lange-Hegermann, M., Schmohl, T., Watanabe, A., Heiss, S., & Rubart, J. (2021). AI-based STEM education: Generating individualized exercises in mathematics. New Perspectives in Science Education (Vol. 10, pp. 385–390). Bologna: Libreriauniversitaria.it.
ELSA
| Download (ext.)
2021 | Konferenzband - Beitrag | ELSA-ID: 5620 |
Lange-Hegermann, M., Schmohl, T., Watanabe, A., Heiss, S., & Rubart, J. (2021). AI-Based Stem Education: Generating Individualized Exercises in Mathematics. New Perspectives in Science Education (pp. 385–390). Bologna: Libreriauniversitaria.it. https://doi.org/10.26352/F318_2384-9509
ELSA
| DOI
| Download (ext.)
12 Publikationen
2024 | Konferenz - Poster | ELSA-ID: 11605
Trilling-Haasler, M., Tebbe, J., Lange-Hegermann, M., & Schneider, J. (2024). Yeast filtration with rotating membrane filtration – a new approach for an economical recovery of beer form surplus yeast . 39th EBC Congress 2024, Lille.
ELSA
2023 | Konferenz - Poster | ELSA-ID: 10201 |
Hernández Rodriguez, T., Ramm, S., Lange-Hegermann, M., & Frahm, B. (2023). A systematic, model-based workflow for risk-based decision making in upstream development. BioProcessingDays 2023, Recklinghausen, Germany.
ELSA
| Download (ext.)
2023 | Konferenzband - Beitrag | ELSA-ID: 10787
Tebbe, J., Pawlik, T., Trilling-Haasler, M., Löbner, J., Lange-Hegermann, M., & Schneider, J. (2023). Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system. In 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) (pp. 1–7). IEEE. https://doi.org/10.1109/INDIN51400.2023.10217913
ELSA
| DOI
2023 | Konferenzband - Beitrag | ELSA-ID: 9930
Lange-Hegermann, M., Schmohl, T., Watanabe, A., Schelling, K., Heiss, S., & Rubart, J. (2023). KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer. In T. Schmohl, A. Watanabe, & K. Schelling (Eds.), Künstliche Intelligenz in der Hochschulbildung: Chancen und Grenzen des KI-gestützten Lernens und Lehrens (Vol. 4, pp. 161–172). transcript Verlag. https://doi.org/10.14361/9783839457696-009
ELSA
| DOI
2023 | Konferenz - Poster | ELSA-ID: 11381
Hernández Rodriguez, T., Ramm, S., Lange-Hegermann, M., & Frahm, B. (n.d.). A systematic, model-based workflow for risk-based decision making in upstream development. 14th European Congress of Chemical Engineering and 7th European Congress of Applied Biotechnology, Berlin, Germany. DECHEMA e.V.
ELSA
2023 | Konferenz - Vortrag | ELSA-ID: 11383
Hernández Rodriguez, T., Posch, C., Pörtner, R., Lange-Hegermann, M., Wurm, F. M., & Frahm, B. (2023). Model-assisted design strategies for bioprocesses – Advanced statistical methods in industrial upstream cell culture. 14th European Congress of Chemical Engineering and 7th European Congress of Applied Biotechnology, Berlin, Germany. DECHEMA e.V.
ELSA
2022 | Konferenz - Poster | ELSA-ID: 7932
Hernández Rodriguez, T., Ramm, S., Lange-Hegermann, M., & Frahm, B. (n.d.). A systematic, model-based workflow for risk-based decision making in upstream development. 5th annual Bioprocessing Summit Europe, Barcelona, Spain.
ELSA
2022 | Sammelwerk - Beitrag | ELSA-ID: 10193
Hernández Rodriguez, T., Sekulic, A., Lange-Hegermann, M., & Frahm, B. (2022). Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design. In R. Pörtner & J. Möller (Eds.), Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing: Vol. special issue (pp. 21–48). MDPI. https://doi.org/10.3390/pr10050883
ELSA
| DOI
2022 | Konferenz - Poster | ELSA-ID: 10198
Hernández Rodriguez, T., Pörtner, R., Lange-Hegermann, M., Wurm, F. M., & Frahm, B. (n.d.). A systematic, model-based approach for decision making in upstream development – Considerations regarding clone selection and cell expansion. 27th Meeting of the European Society for Animal Cell Technology (ESACT): Advanced Cell Technologies: Making Protein, Cell, and Gene Therapies a Reality, Lisbon, Portugal .
ELSA
2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 11377
Hernández Rodriguez, T., Sekulic, A., Lange-Hegermann, M., & Frahm, B. (2022). Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design. Processes, 10(5), Article 883. https://doi.org/10.3390/pr10050883
ELSA
| DOI
2021 | Konferenzband - Beitrag | ELSA-ID: 7581 |
Lange-Hegermann, M., Schmohl, T., Watanabe, A., Heiss, S., & Rubart, J. (2021). AI-based STEM education: Generating individualized exercises in mathematics. New Perspectives in Science Education (Vol. 10, pp. 385–390). Bologna: Libreriauniversitaria.it.
ELSA
| Download (ext.)
2021 | Konferenzband - Beitrag | ELSA-ID: 5620 |
Lange-Hegermann, M., Schmohl, T., Watanabe, A., Heiss, S., & Rubart, J. (2021). AI-Based Stem Education: Generating Individualized Exercises in Mathematics. New Perspectives in Science Education (pp. 385–390). Bologna: Libreriauniversitaria.it. https://doi.org/10.26352/F318_2384-9509
ELSA
| DOI
| Download (ext.)