Principal Research Engineer
Artificial intelligence, in the area of classical planning
I am a researcher within artificial intelligence with a focus on combining automated planning and deep learning.
CV in brief
I pursued my education at Linköping University, where I completed my Bachelor's and Master's degrees in Computer Science in 2010 and 2012, respectively, and I received my PhD in 2017.
After completing my studies, I worked in the industry for a while before returning to research as a postdoc when this lab was founded.
My work in this lab has been recognized by several notable awards in the field of artificial intelligence, including:
- ICAPS 2022 Best Paper Award at the 32nd International Conference on Automated Planning and Scheduling for the paper "Learning General Optimal Policies with Graph Neural Networks: Expressive Power, Transparency, and Limits"
- IJCAI 2021 Distinguished Paper Award at the 30th International Joint Conference on Artificial Intelligence for the paper "Learning Generalized Unsolvability Heuristics for Classical Planning"