Daniel Fišer

Associate Professor Daniel Fišer is affiliated with the Department of Computer Science at Aalborg University, part of The Technical Faculty of IT and Design. His research focuses on multi-agent planning, symbolic search, and heuristic function optimization. He has contributed to advancements in optimal planning algorithms, heuristic design, and automated planning competitions.

Fišer’s work spans theoretical and applied aspects of artificial intelligence, including reinforcement learning and fuzzing biases for policy testing. His research has been recognized with the ICAPS 2023 Best Paper Runner-Up Award and the AAAI 2022 Outstanding Paper Award (Honorable Mention).

Recent publications emphasize scalable oversubscription planning, higher-dimensional potential heuristics, and competitive benchmark evaluations in automated planning systems. His contributions bridge theoretical foundations and practical applications in AI planning domains.