Philipp Danzinger
Projektass.(FWF) Dipl.-Ing. / BSc
Role
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PreDoc Researcher
Databases and Artificial Intelligence, E192-02
Projects
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CD Laboratory for Artificial Intelligence and Optimization for Planning and Scheduling
2017 – 2025 / 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 / 209771 / 209950 / 209926 / 209911 / 209932 / 208556 / 209917 / 210249 / 208780 / 210368 / 210992 / 213563 / 213929 / 213924 / 222796 / 222794 / 222793 / 222792 / 222791 / 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
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Modeling and Solving the Generalized Test Laboratory Scheduling Problem
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Danzinger, P., Geibinger, T., Mischek, F., & Musliu, N. (2025). Modeling and Solving the Generalized Test Laboratory Scheduling Problem. In Integration of Constraint Programming, Artificial Intelligence, and Operations Research : 22nd International Conference, CPAIOR 2025, Melbourne, VIC, Australia, November 10–13, 2025, Proceedings, Part I (pp. 188–204). Springer. https://doi.org/10.1007/978-3-031-95973-8_12
Projects: ARTIS (2017–2025) / BioLog (2022–2026) -
Optimizing constraint programming for real world scheduling of test Laboratories
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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
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Solving the Test Laboratory Scheduling Problem with Variable Task Grouping
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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 (2017–2025)