Niklas Jarmatz M. Sc

Jarmatz
Niklas Jarmatz M. Sc.
Room 1.09 a / ICTV
+49(0)531 / 391 7085

Curriculum vitae

2018-dato Research assistant at ICTV
2018 Master thesis: „Experimental characterization and assessment for 3D electrodes in bioelectrochemical systems”
2016-2018 Master studies: Biotechnology, Technische Universität Braunschweig
2016 Bachelor thesis: „Characterisation of the N-Glycolysation Pathway in Chlamydomonas reinhardtii“
2013-2016 Bachelor studies: Biosciences, Westfälische Wilhelms-Universität Münster

Research projects

  • SensoRein - Sensor-based monitoring of the cleaning demand and cleaning result – completed
  • FideLio – Predictive fouling detection in food processing by models based on real data
  • Data driven fouling detection by the example of particulate deposition in pipe fittings

Supervised courses

  • Educational lab “Chemical Process Engineering“
  • Class “Chemical Process Engineering“

Publications (selection)

  • Moß, C., Jarmatz, N., Heinze, J., Scholl, S. and Schröder, U. (2020), Optimal Geometric Parameters for 3D Electrodes in Bioelectrochemical Systems: A Systematic Approach. ChemSusChem. doi:10.1002/cssc.202001232
  • Moß, C., Jarmatz, N., Hartig, D., Schnöing, L., Scholl, S. and Schröder, U. (2020), Studying the Impact of Wall Shear stress on the Development and Performance of Electrochemically Active Biofilms. ChemPlusChem. doi:10.1002/cplu.202000544
  • Jarmatz, N., Augustin, W. and Scholl, S. (2023), Comprehensive Parameter Screening for the Investigation of Particulate Fouling in Pipe Fittings. Chemie Ingenieur Technik. https://doi.org/10.1002/cite.202200208

  • Jarmatz, N., Augustin, W. & Scholl, S. Generation of experimental data for model training to optimize fouling prediction. Heat Mass Transfer (2023). https://doi.org/10.1007/s00231-023-03393-5

Conference contributions (selection)

  • Jarmatz, N., Augustin, W., Scholl, S., Optimization of fouling prediction by the targeted generation of experimental training data, PN WSÜ 2022, Würzburg, Germany, 18.-20.07.2022
  • Jarmatz, N., Augustin, W., Scholl, S., Generation of experimental data for model training to optimize fouling prediction, HEFC 2022, Wagrain, Austria, 05.-10.06.2022
  • Jarmatz, N., Augustin, W., Sensor-based monitoring of the cleaning demand and cleaning result – SensoRein, Anuga FoodTec, Köln, Germany, 26.-29-04.2022
  • Jarmatz, N., Louro Cardoso Franco, R., Augustin, W., Scholl, S., Coupling of process data and model training to generate an overall sensor concept for fouling prediction, ECCE&ECAB 2021, Online-Event, 20.-23.09.2021
  • Jarmatz, N., Augustin, W., Scholl, S., Coupling of process data and model training to generate an overall sensor concept for fouling prediction, PN WSÜ 2021, Online-Event, 14.-26.02.2021
  • Jarmatz, N., Bialuch, I., Augustin, W., Scholl, S., Adhesion of a whey protein system on potential sensor coatings, BLE Innovationstage 2020, Online-Event, 20.-21.10.2020
  • Jarmatz, N., Paul, L., Deseke, O., Augustin, W., Scholl, S.,  Jahrestreffen der DECHEMA-Fachgruppen CFD und WSUE, Sensor based detection of particulate deposition by temperature measurements, Frankfurt, Deutschland, 06.-08.03.2023