Philipp Danzinger

Projektass.(FWF) Dipl.-Ing. / BSc

Role

PreDoc Researcher
Databases and Artificial Intelligence, E192-02

Contact

Projects

CD Laboratory for Artificial Intelligence and Optimization for Planning and Scheduling
2017 – 2024 / Christian Doppler Research Association (CDG)
Publications: 136808 / 139849 / 138379 / 138399 / 138400 / 138528 / 138530 / 144345 / 142199 / 142211 / 142210 / 142193 / 141227 / 141228 / 143220 / 143222 / 190688 / 191173 / 193566 / 192686 / 192678 / 203673 / 204355 / 24775 / 55565 / 55636 / 57470 / 57475 / 57476 / 57570 / 57572 / 57573 / 57872 / 57873 / 57874 / 57876 / 57878 / 57880 / 58293 / 58340 / 58583 / 58584 / 58585 / 58586 / 58590 / 58591 / 86907 / 87083

Publications

Optimizing constraint programming for real world scheduling of test Laboratories / Danzinger, P. (2024). Optimizing constraint programming for real world scheduling of test Laboratories [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.110696
Download: PDF (788 KB)
A System for Automated Industrial Test Laboratory Scheduling / Danzinger, P., Geibinger, T., Janneau, D., Mischek, F., Musliu, N., & Poschalko, C. (2022). A System for Automated Industrial Test Laboratory Scheduling. ACM Transactions on Intelligent Systems and Technology. https://doi.org/10.1145/3546871
Solving the Test Laboratory Scheduling Problem with Variable Task Grouping / Danzinger, P., Geibinger, T., Mischek, F., & Musliu, N. (2020). Solving the Test Laboratory Scheduling Problem with Variable Task Grouping. In Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling (pp. 357–365). http://hdl.handle.net/20.500.12708/58340
Project: ARTIS (2017–2024)