Person

Dr.-Ing.

Julian Hofmann

Scientific staff

Institute of Hydraulic Engineering and Water Resources Management

Address

Building: 2175

Room: 306

Mies-van-der-Rohe-Str. 17

52056 Aachen

Contact

WorkPhone
Phone: +49 241 80 25765
Fax Fax: +49 241 80 25750
 

Research areas

 

Scholarship

Research funding through scholarship

Three-year funding through RWTH Scholarships for Doctoral Students

 

Publications

Title Author(s)
floodGAN : A deep learning-based model for rapid urban flood forecasting
Abstract, Contribution to a conference proceedings (2022)
Hofmann, Julian (Corresponding author)
Schüttrumpf, Holger
Synthetic rainfall data generator development through decentralised model training
Journal Article (2022)
Welten, Sascha Martin (Corresponding author)
Holt, Adrian Lars
Hofmann, Julian
Schelter, Lennart Noel
Klopries, Elena-Maria
Wintgens, Thomas Josef
Decker, Stefan Josef
Intersecting near-real time fluvial and pluvial inundation estimates with sociodemographic vulnerability to quantify a household flood impact index
Journal Article (2022)
Preisser, Matthew
Passalacqua, Paola (Corresponding author)
Bixler, R. Patrick
Hofmann, Julian
Quantifying rainfall forecast uncertainty and error propagation in flash flood and landslide prediction models
Abstract, Contribution to a conference proceedings (2022)
Winkels, Bastian (Corresponding author)
Hofmann, Julian
Yildiz, Anil
Edrich, Ann-Kathrin Margarete
Schüttrumpf, Holger
Kowalski, Julia
Intelligent and risk-based early warning system for pluvial floods : Developing a framework to forecast pluvial flooding in real time combining hydrodynamic modelling and deep learning
Dissertation / PhD Thesis (2022)
Hofmann, Julian
Intersecting Fluvial and Pluvial Inundation Estimates with Sociodemographic Vulnerability to Quantify Household Risk in Urban Areas
Preprint (2021)
Preisser, Matthew
Passalacqua, Paola (Corresponding author)
Bixler, Richard Patrick
Hofmann, Julian
floodGAN : Using Deep Adversarial Learning to Predict Pluvial Flooding in Real Time
Contribution to a book, Journal Article (2021)
Hofmann, Julian (Corresponding author)
Schüttrumpf, Holger
Analyse des Starkregenereignisses vom 29.05.2018 in Aachen zur Validierung eines hybriden und risikobasierten Frühwarnsystems
Contribution to a book, Contribution to a conference proceedings (2021)
Hofmann, Julian (Corresponding author)
KI-gestütztes Frühwarnsystem für Starkregenereignisse
Journal Article (2020)
Hofmann, Julian (Corresponding author)
Echterhoff, Jan
Risk-Based and Hydrodynamic Pluvial Flood Forecasts in Real Time
Contribution to a book, Journal Article (2020)
Hofmann, Julian (Corresponding author)
Schüttrumpf, Holger
"Gefahr von Wasser wird unterschätzt" : Julian Hofmann forscht an der RWTH zu Starkregen : Dort arbeitet er an Frühwarnsystemen und Simulationen
Journal Article (2020)
Hofmann, Julian (Interviewee)
Niehus, Caroline (Interviewer)
Risikobasiertes Frühwarnsystem für starkregenbedingte Überflutungen und Sturzfluten
Contribution to a book, Contribution to a conference proceedings (2019)
Hofmann, Julian (Corresponding author)
Hochwasserrisiken durch Starkniederschlagsereignisse in Aachen
Contribution to a book, Contribution to a conference proceedings (2019)
Hofmann, Julian (Corresponding author)
Geodatenbasiertes Dokumentationsverfahren für Starkniederschlagsereignisse und weiterführende Untersuchungen zur detaillierten Gefährdungsanalyse
Journal Article (2019)
Hofmann, Julian (Corresponding author)
Schüttrumpf, Holger
Ein holistischer Modellansatz für ein multifunktionales Starkregenrisiko-Informationssystem
Journal Article (2019)
Hofmann, Julian
Schüttrumpf, Holger
Risk-Based Early Warning System for Pluvial Flash Floods: Approaches and Foundations
Contribution to a book, Journal Article (2019)
Hofmann, Julian (Corresponding author)
Schüttrumpf, Holger