Göran Falkman
Associate Professor of Computer Science
School of Informatics
Room PA520S
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
- Project leader for BISON – Big Data Fusion. The project is a collaboration with Advectas, AstraZeneca, Huaweiand 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).
- Project leader at University of Skövde for the HMI for Distributed Decision-Makingproject. The project is coordinated by Saab Aeronautics and is funded by VINNOVA with 7.3 MSEK during 2013–2017 within the NFFP6 research program.
- Project leader at University of Skövde for the Information Fusion for Decision Support and Human System Interaction in Future Flying Platforms project. The project is coordinated by Saab Aeronautics and is funded by VINNOVA with 8.35 MSEK during 2009–2013 within the NFFP5 research program.
- Former project leader for the Intelligence Fusion project. The project was funded by Saab AB and the RAP research school with 1.9 MSEK during 2008–2011.
- Former project leader at University of Skövde for the T4You – Improving the Electronic Health Record for Dental Care project. The project was funded by Region Västra Götaland with 1.13 MSEK during 2011.
- Former scenario leader for the Situation Awareness scenario within the Information Fusion research program. The SA scenario was funded by The Knowledge Foundation with 7.8 MSEK during 2006–2011.
- Former project leader for the Hypotheses and Visualization projects within the Information Fusion research program. The projects were funded by The Knowledge Foundation with 2.6 MSEK each during 2006–2011.
- Former project leader for the Pragmatic Patterns for Clinical Knowledge Management research project, which was funded by VINNOVA with 2.6 MSEK during 2006–2009.
Research students
- Main supervisor of research student Niclas Ståhl.
- Main supervisor of research student Rakesh Rana (associated from University of Limerick).
- Main supervisor of industrial research student Ulrika Ohlander (Saab AB, Linköping).
- 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.
Recent publications
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.
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.
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.
Helldin, T., Riveiro, R., Pashami, S., Falkman, G., Byttner, S. and Nowaczyk, S. (2016) Supporting Analytical Reasoning: A study from the automotive industry. In Yamamoto, S. (Ed.) Human Interface and the Management of Information: Applications and Services, Lecture Notes in Computer Science 9735, pp 20–31. Springer International Publishing.
Ohlander, U., Alfredson, J., Riveiro, M. and Falkman, G. (2016) User Participation in the Design of Cockpit Interfaces. In Advances in Ergonomics Modeling, Usability & Special Populations, Advances in Intelligent Systems and Computing 486, pp 51–58. Springer International Publishing.
Research
Projects
2025
Engineering applications of artificial intelligence
2025. Article.
https://doi.org/10.1016/j.engappai.2024.109574
2024
2024 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
2024. Conference paper. https://doi.org/10.1109/CIBCB58642.2024.10702166
ACM Transactions on Probabilistic Machine Learning
2024. Article.
https://doi.org/10.1145/3688573
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
2024. Conference paper.
https://doi.org/10.1109/WACV57701.2024.00726
2023
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
2023. Article.
https://doi.org/10.1177/21695067231192607
ICMLC 2023: Proceedings of 2023 15th International Conference on Machine Learning and Computing, Zhuhai, China, February 17-20, 2023
2023. Conference paper.
https://doi.org/10.1145/3587716.3587758
2022
IEEE Open Journal of Intelligent Transportation Systems
2022. Article, review.
https://doi.org/10.1109/ojits.2022.3197296
2020
ACM Computing Surveys
2020. Article.
https://doi.org/10.1145/3340960
Information Processing and Management of Uncertainty in Knowledge-Based Systems: 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part I
2020. Conference paper. https://doi.org/10.1007/978-3-030-50146-4_41
2019
Data science in Practice
2019. Chapter in book. https://doi.org/10.1007/978-3-319-97556-6_8
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Finished projects
BIO-AID - Biomedical AI-driven data analytics
Artificial intelligence (AI) is an important driving force that is rapidly transforming health care and pharmaceutical industries in several ways. The vast amount of biomedical data available today poses unique opportunities to develop a repertoire of AI-based models. Although the results from studies using AI for solving biomedical problems are encouraging, there are numerous scientific challenges associated with AI for life science applications that need to be addressed.
October 2020 - September 2024 Systems BiologyIntention recognition for real-time automotive 3D situation awareness
Intention recognition is the task of inferring an agent´s intention based on its previous actions. It is crucial for human social intelligence which in turn enables understanding of, and for the ability to predict, other humans´ behaviours, such as for example other drivers´ intent to overtake, stop, turn, or switch lanes. For making situation-based decisions, both autonomous and human drivers need to take the intentions of surrounding vehicles into account. This is especially true in a mix of autonomous and human drivers.
January 2019 - December 2022 InformaticsTeamwork through Interaction with Air Systems
The project will study design elements of future air systems that offer cognitive support for increased team effectiveness. The project will investigate how the design of complex systems can benefit from taking the teamwork perspective.
November 2019 - February 2022 InformaticsSwedish Metal
The project will create new values for the Swedish metal industry. This will be done through the use and development of recent data analysis techniques. By doing so, one will find currently hidden relationships between known and unknown process parameters and the resulting product quality.
October 2018 - October 2021 InformaticsDecision support system warns of elevated levels in cereals
Fusarium attacks on Swedish cereals in recent years have attracted increasing attention. While these attacks can lead to reduced harvests, the most serious effect is that this fungus can produce toxins. EU legislation has defined limit values for the content of Fusarium toxins because they are harmful to both humans and animals. Our project aims to develop a farm-based decision support system that will assess the risk of Fusarium attacks and elevated levels of deoxynivalenol (DON) in cereals. It can be used by both advisers/consultancies and farmers.
January 2018 - June 2020 InformaticsA smarter society through Big Data analytics
An unprecedented growth of data, fed by novel technologies, user behaviour and business models, is one of the most dramatic and important developments in both ICT and society at large. Most of this is Big Data, characterised by vast volume, high velocity, large variety and unknown veracity. These properties pose significant challenges when collecting, managing and processing data.
January 2015 - January 2020 InformaticsBISON: Better decisions through Big Data
Big data has gained much interesting in recent years due to the rapid expansion of the massive amount of data that is available for solving different types of tasks within many different application domains. However, today's big data is still on a fairly low level of abstraction when it comes to complex decision support tasks, subject to e.g. high dimensionality and significant portions of uncertainty regarding which patterns to look for in the data.
October 2015 - September 2019 Informatics