PhD in Computing Science, Docent in Computer Science, Interactive Knowledge Systems
Associate Professor (Biträdande professor) of Computer Science
Senior researcher at the Informatics Research Centre and
Skövde Artificial Intelligence Lab
issues
Research projects
Research students
- Main supervisor of research students Rikard Laxhammar (Saab AB, Järfälla) and Tove Helldin.
- Co-supervisor of research student Tina Erlandsson (Saab AB, Linköping).
- Former main supervisor of research students Maria Riveiro, Ph.D. March 17, 2011, Fredrik Johansson
, Ph.D. December 1, 2010, and Marie Gustafsson
, Ph.D. June 15, 2009.
Former co-supervisor of research students Christoffer Brax, Ph.D. September 19, 2011, Hajar Kashfi
(Chalmers University of Technology), Ph. licentiate June 9, 2011, and Anders Dahlbom, Ph.D. February 7, 2011.
Teaching
Current teaching schedule.
recent publications
Helldin, T., Falkman, G., Riveiro, M., Dahlbom, A. & Lebram, M. (2013) Transparency of Military Threat Evaluation Through Visualizing Uncertainty and System Rationale. To appear in Proc. 15th Int. Conf. on Human-Computer Interaction (HCII 2013), 21–26 July 2013, Las Vegas, Nevada, USA.
Riveiro, M., Helldin, T. Lebram, M. and Falkman, G. (2013) Towards future threat evaluation systems: user study, proposal and precepts for design. To appear in Proc. 16th Int. Conf. Information Fusion (FUSION 2013), Istanbul, Turkey, July 9–12, 2013.
Gustafsson Friberger, M. and Falkman, G. (2012) Collaboration processes, outcomes, challenges, and enablers of distributed clinical communities of practice. Behaviour & Information Technology (iFirst), 1–13. London: Taylor & Francis.
Helldin, T. and Falkman, G. (2012) Human-Centered Automation for improving Situation Awareness in the Fighter Aircraft Domain. In Proceedings of the 2nd IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA 2012), 6–8 March 2012, New Orleans, LA, USA, pp 191–197. IEEE.
Laxhammar, R. and Falkman, G. (2012) Online Detection of Anomalous Sub-Trajectories – A Sliding Window Approach based on Conformal Anomaly Detection and Local Outlier Factor. In Iliadis, L., Maglogiannis, I., Papadopoulos, H., Karatzas, K. and Sioutas, S. (Eds.) Artificial Intelligence Applications and Innovations. IFIP Advances in Information and Communication Technology 382, pp. 192–202. Springer Berlin Heidelberg.