Kergus, P.; Gosea, I. V.: Data-driven approximation and reduction from noisy data in matrix pencils frameworks. 25th International Symposium on Mathematical Theory of Networks and Systems MTNS 2022, Bayreuth, Germany, September 12, 2022 - September 16, 2022. IFAC-PapersOnLine 55 (30), pp. 371 - 376 (2022)

Morabito, B.; Pohlodek, J.; Kranert, L.; Espinel-Rios, S.; Findeisen, R.: Efficient and Simple Gaussian Process Supported Stochastic Model Predictive Control for Bioreactors using HILO-MPC. In: IFAC-PapersOnLine, Vol. 55, pp. 922 - 927. 13th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, DYCOPS 2022, Busan, Korea, June 14, 2022 - June 17, 2022. (2022)

Naumann, A.; Saak, J.; Sauerzapf, S.; Vettermann, J.; Beitelschmidt, M.; Herzog, R.: Advanced Open Source Data Formats for Geometrically and Physically Coupled Systems. In: Proceedings of Asian Modelica Conference 2022, pp. 81 - 91. Asian Modelica Conference 2022, Tokyo, Japan, November 24, 2022 - November 25, 2022. (2022)

Otto, E.; Maksakov, A.; Duerr, R.; Palis, S.; Kienle, A.: Direct Discretized Kernel Identification for Continuous Agglomeration Processes. 13th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, DYCOPS 2022, Busan, Korea, June 14, 2022 - June 17, 2022. IFAC-PapersOnLine 55 (7), pp. 260 - 265 (2022)

Sauerteig, P.; Esterhuizen, W.; Wilson, M.; Ritschel, T. K.S.; Worthmann, K.; Streif, S.: Model Predictive Control Tailored to Epidemic Models. In: 2022 European Control Conference, pp. 743 - 744. European Control Conference 2022, London, United Kingdom, July 12, 2022 - July 15, 2022. (2022)

Slaviero, G.; Steuer, R.; Klamt, S.: Using parameter sampling to explore key properties of E. coli's anaerobic metabolism. 9th IFAC Conference on Foundations of Systems Biology in Engineering (FOSBE), Cambridge, MA, August 28, 2022 - August 31, 2022. IFAC-PapersOnLine 55 (23), pp. 109 - 114 (2022)

Werner, S. W. R.; Gosea, I. V.; Gugercin, S.: Structured vector fitting framework for mechanical systems. 10th Vienna International Conference on Mathematical Modelling MATHMOD 2022 , Vienna Austria, July 27, 2022 - July 29, 2022. IFAC-PapersOnLine 55 (20), pp. 163 - 168 (2022)

Ahmad, R.: Integration of a Light-switchable ATP Regeneration System with Motility Modules: Toward Building an Artificial Cell and a Bio-hybrid Micro-swimmer. Dissertation, Otto-von-Guericke-Universität, Magdeburg (2022)

Chellappa, S.: A posteriori Error Estimation and Adaptivity for Model Order Reduction of Large-Scale Systems. Dissertation, Otto-von-Guericke Universität, Magdeburg (2022)

Hein, M.: Cell culture-based production of influenza A virus-derived defective interfering particles. Dissertation, Otto-von-Guericke-Universität, Magdeburg (2022)

Huskova, N.: Dynamic Modeling and Optimization of a Continuous Fluidized Bed Process for the Separation of Enantiomers by Preferential Crystallization. Dissertation, Otto-von-Guericke-Universität, Magdeburg (2022)

Mahour, R.: Scalable multi-enzyme platforms for the in vitro glycoengineering of therapeutic proteins & synthesis of human milk oligosaccharides. Dissertation, Otto-von-Guericke-Universität, Magdeburg (2022)

Penke, C.: Efficient Algorithms for Solving Structured Eigenvalue Problems Arising in the Description of Electronic Excitations. Dissertation, Otto-von-Guericke Universität, Magdeburg (2022)

Rüdiger, D.: Mathematical Models of Influenza A Virus Infection: Multiplicity of Infection and its Impact on Co-Infection and Virus Production. Dissertation, Otto-von-Guericke-Universität, Magdeburg (2022)

Wang, M.: Bottom-up synthesis of Nicotinamide Adenine Dinucleotide (NAD) regeneration modules for artificial cells. Dissertation, Otto-von-Guericke-Universität, Magdeburg (2022)

Weigel, T.: Development of Chromatography-Based Purification Processes for Cell Culture-Derived Influenza Virus Particles. Dissertation, Otto-von-Guericke Universität, Magdeburg (2022)

Baran, B.; Benner, P.; Saak, J.: Riccati-feedback Control of a Two-dimensional Two-phase Stefan Problem. (2022)

Kergus, P.; Gosea, I. V.: Data-driven approximation and reduction from noisy data in matrix pencil frameworks. (2022)

Liang, B.; Mitchell, T.; Sun, J.: NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning. (2022)