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Harriehausen, I.; Wrzosek, K.; Seidel-Morgenstern, A.: Optimization of pure enantiomer production by coupling batch chromatography with enzymatic racemization. SoCSS 2018 - 14th International PhD Seminar on Chromatographic Separation Science, Burghausen, Germany (2018)

Harriehausen, I.; Wrzosek, K.; Seidel-Morgenstern, A.: Evaluation and productivity prediction of coupled processes with enantioselective chromatography and racemization. 9. Doktorandenseminar Adsorption, Duisburg, Germany (2018)

Himmel, A.; Sager, S.; Sundmacher, K.: Flexibler Betrieb von Biogasanlagen mittels inversionsbasierter zeitoptimaler Steuerung. ProcessNet-Jahrestagung und 33. DECHEMA-Jahrestagung der Biotechnologen 2018, Aachen, Germany (2018)

Hoffmann, J.; Venkatramanan, R.; Cascella, F.; Seidel-Morgenstern, A.; Lorenz, H.; ter Horst, J. H.: Separation of Mandelic Acid Enantiomers at Eutectic Composition by Preferential Crystallization. BIWIC 2018 - 25th International Workshop on Industrial crystallization, Rouen, France (2018)

Hoffmann, M.: Towards Understanding of Congenital Disorders of Glycosylation: A Glyco(proteo)mic Approach to Unravel the Interplay between Different Types of Glycosylation. DFG FOR 2509 Meeting , Höchst (Odenwald), Germany (2018)

Huskova, N.; Mangold, M.; Gänsch, J.; Seidel-Morgenstern, A.: Modeling of the the Separation of Enantiomers by Preferential Crystallization. Hannover Messe, Hannover, Germany (2018)

Jokiel, M.; Kaiser, N. M.; Zähringer, K.; Nigam, K. D.; Sundmacher, K.: Helically Coiled Segmented Flow Tubular Reactor for the Hydroformylation of Long-Chain Olefins in a Thermomorphic Multicomponent Solvent System. ISCRE25 (International Symposium of Chemical Reaction Engineering), Florence, Italy (2018)

Jokiel, M.; Sundmacher, K.: Novel Reactor Design for the Hydroformylation of Long-Chain Olefins: Flexibility and Automation Aspects. CHEMREACTOR-23, Ghent, Belgium (2018)

Kattein, B.; Seidel-Morgenstern, A.: Enhancing the performance of an industrial scale simulated moving process using industrial process data. 9. Doktorandenseminar Adsorption, Duisburg, Germany (2018)

Kattein, B.; Seidel-Morgenstern, A.: Estimating thermodynamic parameters from a simulated moving bed process under operation. SoCSS 2018 - 14th International PhD Seminar on Chromatographic Separation Science, Burghausen, Germany (2018)

Kögel, M.; Findeisen, R.: Low latency output feedback predictive control based on optimality conditions. 89th GAMM Annual Meeting, Munich, Germany (2018)

Kozlowski, A.; Pischel, D.; Fachet, M.; Pirwitz, K.; Flassig, R.; Sundmacher, K.: From Lab to Outdoor: Modeling Light Fluctuations in Algal Photobioreactors to Identify Economically Feasible Solutions. Young Algaeneers Symposium, Oban, UK (2018)

Kupke, S. Y.: Single-Cell analysis uncover a novel influenza A virus-derived defective interfering particle for antiviral therapy. Vaccine Technology VII, Mont Tremblant, Canada (2018)

Lee, J. W.; Seidel-Morgenstern, A.: Model Predictive Control of 4-Zone Simulated Moving Bed Chromatography for the Separation of Bicalutamide Enantiomers: Experimental Validation. PREP 2018 - 31st International Symposium on Preparative and Process Chromatography, Baltimore, USA (2018)

Lee, J. W.; Seidel-Morgenstern, A.: Model Predictive Control of 4-Zone Simulated Moving Bed Chromatography for the Separation of Bicalutamide Enantiomers: Experimental Validation. SPICA2018 – 17th International Symposium on Preparative and Industrial Chromatography and Allied Techniques, Darmstadt, Germany (2018)

Lee, J. W.; Seidel-Morgenstern, A.: Model Predictive Control of 4-Zone Simulated Moving Bed Chromatography for the Separation of Bicalutamide Enantiomers: Experimental Validation. 2018 AIChE Annual Meeting, Pittsburgh, USA (2018)

Liesche, G.; Schack, D.; Rätze, K.; Sundmacher, K.: Thermodynamic Network Flow Approach for Chemical Process Synthesis. ESCAPE28, Graz, Austria (2018)

Liesche, G.; Sundmacher, K.: Design of a High Temperature Catalytic Wall Reactor: Steam Methane Reforming. ISCRE25 (International Symposium of Chemical Reaction Engineering), Florence, Italy (2018)

Lilienthal, P.; Tetschke, M.; Sager, S.: Mathematical Modeling and Personalized Simulations of Erythropoiesis in the Context of Polycythemia Vera. 7th International Conference on Modeling, Simulation and Optimization of Complex Processes , Hanoi, Vietnam (2018)

Lindhorst, H.; Reimers, A.-M.; Waldherr, S.: Dynamic modeling of enzyme controlled metabolic networks using a receding time horizon. 10th IFAC Symposium on Advanced Control of Chemical Processes - ADCHEM 2018, Shenyang, China (2018)