Göran Falkman
Informatics
University of Skovde
Sweden
Biography
PhD in Computing Science, Docent in Computer Science with speciality in Interactive Knowledge Systems Associate Professor (Biträdande professor) of Computer Science Research leader for Skövde Artificial Intelligence Lab (SAIL)
Research Interest
Project leader for BISON – Big Data Fusion. The project is a collaboration with Advectas, AstraZeneca, Huawei and Takara Bio and is funded by The Knowledge Foundation (KK-stiftelsen) with 30 MSEK in total during 2015–2019. BISON involves 12 researchers at HS. Project leader for BIDAF – A Big Data Analytics Framework for a Smart Society. The project is a collaboration with SICS Swedish ICT (coordinator) and Halmstad University and is funded by The Knowledge Foundation (KK-stiftelsen) with 7.8 MSEK (29.5 MSEK in total) during 2015–2019. BIDAF involves six researchers at SAIL. Project leader for the Informatics theme within a research collaboration between the University of Skövde and the University of Borås. The theme is funded by Region Västra Götaland with 8.5 MSEK (13 MSEK in total) during 2016–2018 and consists of three joint research projects involving ~30 researchers. Project leader for HMI for Distributed Decision-Making. The project is coordinated by Saab Aeronautics and is funded by the Swedish Governmental Agency for Innovation Systems (VINNOVA) with 7.3 MSEK (15.5 MSEK in total) during 2013–2017 within the National Avionics Research Program (NFFP6).
Publications
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Ohlander, U., Alfredson, J., Riveiro, M. and Falkman, G. (2016) A Teamwork Model For Fighter Pilots. In Harris, D. (Ed.) Engineering Psychology and Cognitive Ergonomics. Applications and Services, Lecture Notes in Computer Science 9736, pp 221–230. Springer International Publishing.
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Ohlander, U., Alfredson, J., Riveiro, M. and Falkman, G. (2016) Elements of Team Effectiveness: A Qualitative Study with Pilots. In Proceedings of the IEEE 6th International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA 2016), 21–27 March 2016, San Diego, USA, pp 14–20. IEEE Computer Society.
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Bae, J., Helldin, T., Riveiro, M., Ventocilla, E. and Falkman, G. (2017) Evaluating Multi-Attributes on Cause and Effect Relationship Visualization. Accepted for oral presentation and full paper publication at the 8th International Conference on Information Visualization Theory and Applications (IVAPP 2017), Porto, Portugal, 27 February–1 March, 2017.
