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.

My research interests are in the field of artificial intelligence, specifically in the area of classical planning. I am currently investigating the use of neural networks to learn generalized policies, in order to solve a wide range of planning problems. My focus is on how deep learning can be used to improve traditional planning systems, which are not able to learn from experience or examples, and thus do not scale well to large problems.

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:






About the division

Colleagues at AIICS

About the department