Mitarbeiter
Dr. Dmytro Pukhkaiev
Kontakt
Email: | |
Phone: | (+49) 351 463 38493 |
Fax: | |
Besucher- Adresse: |
Zi. APB 2080 Nöthnitzer Str. 46 01187 Dresden |
Sprechstunde: | Upon request |
Publications
Liste von letzten Publikationen
- Robotic assembly of modular concrete shells using falsework, (Egor Ivaniuk, Dmytro Pukhkaiev, Mathias Reichle, Wanqi Zhao, Johannes Mey, Manuel Krombholz, Zlata TošiÄ�, Uwe Aßmann, Sven Klinkel, Viktor Mechtcherine), Developments in the Built Environments, Volume 21, March 2025, 100616
- Waffle: A Novel Feature Modeling Language for Highly-Configurable Software Systems, (Volodymyr Prokopets, Dmytro Pukhkaiev, Uwe Aßmann), 2024 IEEE International Black Sea Conference on Communications and Networking
- Multi-objective Parameter Tuning with Dynamic Compositional Surrogate Models, (Dmytro Pukhkaiev and Oleksandr Husak and Sebastian Götz and Uwe Aßmann), In Proceedings of Learning and Intelligent Optimization (LION 2021). Lecture Notes in Computer Science, Vol 12931. Springer, Cham, pp. 333-350
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Forschungsprojekte
Liste von letzten Forschungsprojekte
Studium
Akademisches Jahr 2024/2025
Wintersemester | Sommersemester |
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Studentische Arbeiten
Laufende Studentische Arbeiten
Keine Studentische Arbeiten zur Anzeige!Abgeschlossene Studentische Arbeiten
Art | Thema | Student |
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MA | Design and Inspection of a Software Framework to Explore Unsupervised Learning in Computer Vision | Anastasia Lykhtar |
MA | Capturing Variability of Dynamic Multi-model Surrogate Optimization | Volodymyr Prokopets |
MA | Transfer Learning for Multi-surrogate-model Optimization | Nataliia Gvozdetska |
MA | From Parameter Tuning to Dynamic Heuristic Selection | Yevhenii Semendiak |
MA | Systematic Parameter Tuning of Genetic Optimization Approaches | Roman Kosovnenko |
MA | Compositional Multi-objective Parameter Tuning | Oleksandr Husak |