G. Johnen, M.Sc.
Gregor Johnen, M.Sc.
Research Assistant
Employment Record
since 2020
Research Assistant at the Institute of Hydraulic Engineering and Water Resources Management
2020
Research Assistant at Deltares, Delft, the Netherlands
2019
Short Term Scientific Mission at the Faculty of Civil Engineering and Geodesy of the University of Ljubljana, Slovenia
2017-2019
Scientific assistant at Hydrotec Ingenieurgesellschaft für Wasser und Umwelt mbH, Aachen & Essen, Germany
2015-2017
Student Assistant at the Institute of Geography of RWTH Aachen, Faculty of Physical Geography and Climatology
Education
2018-2020
Master-Studies in Transnational ecosystem-based Water Management (TWM) at the University Duisburg-Essen, Germany and at the Radboud University Nijmegen, Netherlands
2013 - 2018
Bachelor-Studies in applied geography at the RWTH Aachen, Germany
Publications
-
Werden unsere wasserwirtschaftlichen Entscheidungen durch Digitalisierung und KI in Zukunft besser?In: Energie-, Wasser-Praxis Vol. 73 (2022) Nr. 04, pp. 30 - 34
-
Exploring options for flood risk management with special focus on retention reservoirsIn: Sustainability Vol. 13 (2021) Nr. 18, 10099Online Full Text: dx.doi.org/ (Open Access)
-
Die digitale Wasserwirtschaft von morgen : Perspektiven zur zukünftigen Datenverfügbarkeit, Datenpflege und Datenanalyse sowie deren gezielter NutzungIn: "Wasserwirtschaft im Klimawandel" / Digitale 55. Essener Tagung für Wasserwirtschaft : 09. bis 11. März 2022 / Wintgens, Thomas; Pinnekamp, Johannes (Eds.) 2022
-
Modelling and Evaluation of the Effect of Afforestation on the Runoff Generation Within the Glinščica River Catchment (Central Slovenia)In: Nature-Based Solutions for Flood Mitigation: Environmental and Socio-Economic Aspects / Ferreira, Carla S. S.; Kalantari, Zahra; Hartmann, Thomas; Pereira, Paulo (Eds.) 2022, pp. 215 - 231Online Full Text: dx.doi.org/
-
Optimale Talsperrenbewirtschaftung und ihr Nutzen für ein adaptives Einzugsgebietsmanagement : Eine Fallstudie für das Maas-EinzugsgebietIn: Wasserbau zwischen Hochwasser und Wassermangel: Dresdner Wasserbaukolloquium 2021 / 44. Dresdner Wasserbaukolloquium 04. – 05. März 2021 / Stamm, Jürgen; Graw, Kai-Uwe (Eds.) 2021, pp. 97 - 106(Open Access)
-
Incorporating Weather Forecasts into Short-Term Water Demand Prediction using Probabilistic Deep Learning with Long Short-Term Memory NetworksIn: Abstracts & Presentations :: EGU General Assembly 2023 / EGU General Assembly 2023, Vienna, Austria & Online, 23–28 April 2023 (2023) pp. EGU23 - 5731Online Full Text: dx.doi.org/
-
Probabilistic water demand forecasting focussing on the impact of climate change and the quantification of uncertainties in the short- and mid-term
EGU General Assembly 2022; Vienna, Austria; 23–27 May 2022,Vienna, Austria (2022)Online Full Text: dx.doi.org/ (Open Access)