Artificial Intelligence and Integrated Computer Systems (AIICS)

The main focus of interest for the AIICS division is intelligent artifacts. Intelligent artifacts are defined as man-made physical systems containing computational equipment and software that provide them with capabilities for receiving and comprehending sensory data, for reasoning, and for rational action in their environment.

Examples of such artifacts range from PDAs and software agents to ground and aerial robots (UAVs and UGVs). An equally important focus is the development of integrated systems which include hardware, software, sensors and human users.

The Artificial Intelligence and Integrated Computer Systems Division (AIICS) has circa 20 members and three research laboratories which include five (research) groups. The director of the division is Professor Patrick Doherty who may be contacted at


This section is under construction and will be updated.



Mattias Tiger, Fredrik Heintz

Gaussian Process Based Motion Pattern Recognition with Sequential Local Models

In 2018 IEEE Intelligent Vehicles Symposium (IV)

Conference paper

Mikael Nilsson, Jonas Kvarnström, Patrick Doherty

Planning with Temporal Uncertainty, Resources and Non-Linear Control Parameters

In Proceedings of the Twenty-Eighth International Conference on Automated Planning and Scheduling (ICAPS), Delft, The Netherlands, June 24-29, 2018

Conference paper

Fredrik Heintz, Linda Mannila

Computational Thinking for All - An Experience Report on Scaling up Teaching Computational Thinking to All Students in a Major City in Sweden

In Proceedings of the 49th ACM Technical Symposium on Computer Science Education (SIGCSE)

Conference paper




About the department