About Me
I am a Ph.D. student at Linköping University, Sweden. I work at the Artificial Intelligence & Integrated Computer Systems Division (AIICS) in the Machine Reasoning Lab. My main research interests are optimal classical planning and combinatorial optimization.
Short bio
I finished my bachelor's and master's degree at Uppsala University in 2020 and 2022 respectively and joined the Machine Reasoning Lab in October 2022.
Publications
2024
Mika Skjelnes, Daniel Gnad and Jendrik Seipp.
Cost Partitioning for Multiple Sequence Alignment.
In Proceedings of the 27th European Conference on Artificial Intelligence (ECAI 2024), pp. 4224–4231. 2024.
paper | code | citationMika Skjelnes, Daniel Gnad and Jendrik Seipp.
Cost Partitioning for Multiple Sequence Alignment.
In ICAPS 2024 Workshop on Heuristics and Search for Domain-independent Planning (HSDIP). 2024.
paper | slides | citation (Superseded by this paper.)