Machine Learning und Software Engineering
Prof. Dr. Daniel Gritzner

Prof. Dr. Daniel Gritzner
Vita
- Jahrgang 1983
- 2007 – 2014: Integrierter Mathematik- und Informatikstudiengang mit Abschluss als Diplom-Informatiker an der Universität Mannheim
- 2010: Praktikum als Softwareentwickler bei IBM in Mainz
- 2015 – 2018: Wissenschaftlicher Mitarbeiter am Fachgebiet Software Engineering der Leibniz Universität Hannover
- 2018 – 2025: Wissenschaftlicher Mitarbeiter am Institut für Informationsverarbeitung der Leibniz Universität Hannover
- 2025: Promotion zum Dr. rer. nat. mit dem Thema “Semantic Segmentation and Domain Adaptation of Aerial Images Using Binary Space Partitioning”
- Seit 2026: Post-Doc am Institut für Informationsverarbeitung der Leibniz Universität Hannover
- 2021 – 2025: Honorardozent an der FHDW Hannover
- Seit 2026: Professor für Machine Learning und Software Engineering an der FHDW Hannover
Forschungs- und Beratungsschwerpunkte
- Machine Learning
- Computer Vision
- Generative AI
- Model-Driven Software Development

Veröffentlichungen
- Daniel Gritzner, Cedric Fauth, and Jörn Ostermann, “Knowledge-Graph-based News Monitoring for Renewable Energy News”, 2025 International Conference on Power Engineering and Electrical Technology (PEET), Shiga, Japan, 2025
- Daniel Gritzner, Sandra Peters-Erjawetz, Carsten Fichter, Jörn Ostermann, “WindGISKI: Using AI to Propose Areas Suitable for Building New Wind Turbines”, Proceedings of the DHBW AI Transfer Congress 2024, DHBW, Stuttgart, 2024
- Daniel Gritzner, Jörn Ostermann, “Minimizing Manual Labeling Effort for The Semantic Segmentation of Aerial Images”, 2021 IEEE Statistical Signal Processing Workshop (SSP), pp. 81–85, 2021
- Daniel Gritzner, Jörn Ostermann, “Semantic Segmentation of Aerial Images Using Binary Space Partitioning”, KI 2021: Advances in Artificial Intelligence, Springer International Publishing, pp. 116–134, Cham, 2021
- Daniel Gritzner, Hauke Hinrichs, Chris Stetter, Henrik Wielert, Michael H. Breitner, Jörn Ostermann, “Wind Turbine Localization in Satellite and Aerial Images”, Proceedings of the Wind Energy Science Conference 2021, No. 10, pp. 40-41, 2021
- Daniel Gritzner, Jörn Ostermann, “USING SEMANTICALLY PAIRED IMAGES TO IMPROVE DOMAIN ADAPTATION FOR THE SEMANTIC SEGMENTATION OF AERIAL IMAGES”, ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, pp. 483–492, August 2020
- Joel Greenyer, Daniel Gritzner, David Harel, Assaf Marron, “Towards Systematic and Automatic Handling of Execution Traces Associated with Scenario-based Models”, Proceedings of the 6th International Conference on Model-Driven Engineering and Software Development MODELSWARD, 2018
- Daniel Gritzner, Joel Greenyer, “Synthesis of Cost-optimized Controllers from Scenario-based GR(1) Specifications”, Modellierung 2018, Gesellschaft für Informatik e.V., pp. 167-182, Bonn, 2018
- Daniel Gritzner, Joel Greenyer, “Generating Correct, Compact, and Efficient PLC Code from Scenario-based Assume-Guarantee Specifications”, Procedia Manufacturing, Vol. 24, pp. 153-158, 2018
- Shlomi Steinberg, Joel Greenyer, Daniel Gritzner, David Harel, Guy Katz, Assaf Marron, “Efficient Distributed Execution of Multi-component Scenario-Based Models”, Model-Driven Engineering and Software Development, Springer International Publishing, pp. 449-483, 2018
- Daniel Gritzner, Elias Knöchelmann, Joel Greenyer, Kai Eggers, Svenja Tappe, Tobias Ortmaier, “Specifying and Synthesizing Energy-Efficient Production System Controllers that Exploit Braking Energy Recupera-tion”, 14th IEEE International Conference on Automation Science and Engineering (CASE 2018), Munich, Germany, 2018
- Daniel Gritzner, Joel Greenyer, “Synthesizing Executable PLC Code for Robots from Scenario-based GR(1) Specifications”, Proceedings of the 4th International Workshop on Model-driven Robot Software Engineering (MORSE’17), co-located with STAF 2017, 2017
- Joel Greenyer, Daniel Gritzner, Jianwei Shi, Eric Wete, “A Scenario-based MDE Process for Developing Reactive Systems: A Cleaning Robot Example”, Proceedings of MODELS 2017 Satellite Events, co-located with ACM/IEEE 20th International Conference on Model Driven Engineering Languages and Systems (MODELS 2017), CEUR, No. 2019, pp. 71-80, 2017
- Joel Greenyer, Daniel Gritzner, Florian König, Jannik Dahlke, Jianwei Shi, Eric Wete, “From Scenario Modeling to Scenario Programming for Reactive Systems with Dynamic Topology”, Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering (ESEC/FSE 2017), ACM, pp. 974-978, New York, NY, USA, 2017
- Joel Greenyer, Daniel Gritzner, Guy Katz, Assaf Marron, “Scenario-Based Modeling and Synthesis for Reactive Systems with Dynamic System Structure in ScenarioTools”, Proceedings of the MODELS 2016 Demo and Poster Sessions, co-located with ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems (MODELS 2016), CEUR Workshop Proceedings, Vol. 1725, pp. 16-23, 2016
- Joel Greenyer, Daniel Gritzner, “An Approach for Synthesizing Energy- Efficient Controllers for Production Systems from Scenario-Based Specifications”, Proceedings of the MODELS 2016 Demo and Poster Sessions, co-located with ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems (MODELS 2016), CEUR Workshop Proceedings, Vol. 1725, pp. 87-93, 2016
- Johannes Kiess, Daniel Gritzner, Benjamin Guthier, Stefan Kopf, Wolfgang Effelsberg, “GPU video retargeting with parallelized SeamCrop”, Proceedings of the 5th ACM Multimedia Systems Conference, pp. 139-147, 2014
Die vollständige Liste an Publikationen findet sich unter https://orcid.org/0000-0001-6486-0008


