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      University of Skövde, link to startpage

      Joe Steinhauer

      Senior Lecturer in Computer Science
      School of Informatics
      Room PA520Q

      Research

      2022

      Koen Vellenga, H. Joe Steinhauer, Alexander Karlsson, Göran Falkman, Asli Rhodin, Ashok Chaitanya Koppisetty

      IEEE Open Journal of Intelligent Transportation Systems

      2022. Article, review. https://doi.org/10.1109/ojits.2022.3197296 Open Access

      2021

      Omar Hamed, H. Joe Steinhauer

      USB Proceedings The 18th International Conference on Modeling Decisions for Artificial Intelligence: MDAI 2021, Umeå

      2021. Conference paper. Open Access

      Omar Hamed, H. Joe Steinhauer

      AAAI-21 / IAAI-21 / EAAI-21 Proceedings: A virtual conference February 2-9, 2021: Thirty-Fifth AAAI Conference on Artificial Intelligence, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, The Eleventh Symposium on Educational Advances in Artificial Intelligence

      2021. Conference paper. Open Access

      2020

      Amena Darwish, H. Joe Steinhauer

      DHM2020: Proceedings of the 6th International Digital Human Modeling Symposium, August 31 – September 2, 2020

      2020. Conference paper. https://doi.org/10.3233/ATDE200009 Open Access

      H. Joe Steinhauer, Anders Åhlén, Tove Helldin, Alexander Karlsson, Gunnar Mathiason

      International Journal of Information, Communication Technology and Applications

      2020. Article.

      2019

      Nikolas Alexander Huhnstock, Alexander Karlsson, Maria Riveiro, H. Joe Steinhauer

      Modeling Decisions for Artificial Intelligence: 16th International Conference, MDAI 2019, Milan, Italy, September 4–6, 2019, Proceedings

      2019. Conference paper. https://doi.org/10.1007/978-3-030-26773-5_27

      H. Joe Steinhauer, Tove Helldin, Gunnar Mathiason, Alexander Karlsson

      Journal of Ambient Intelligence and Humanized Computing

      2019. Article. https://doi.org/10.1007/s12652-019-01372-5 Open Access

      H. Joe Steinhauer, Alexander Karlsson

      Data science in Practice

      2019. Chapter in book. https://doi.org/10.1007/978-3-319-97556-6_4

      Vicenç Torra, Alexander Karlsson, H. Joe Steinhauer, Stefan Berglund

      Data Science in Practice

      2019. Chapter in book. https://doi.org/10.1007/978-3-319-97556-6_2

      2018

      Tove Helldin, H. Joe Steinhauer, Alexander Karlsson, Gunnar Mathiason

      2018 21st International Conference on Information Fusion, FUSION 2018

      2018. Conference paper. https://doi.org/10.23919/ICIF.2018.8455529

      Ongoing projects

      BISON: 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

      Healthy Life support through Comprehensive Tracking of individual and Environmental Behaviors (HELICOPTER)

      The HELICOPTER proposal aim at exploiting ambient-assisted living techniques to provide older adults (end users) and their informal caregivers with support, motivation and guidance in pursuing a healthy and safe lifestyle.

      July 2013 - June 2016 Informatics

      Finished projects

      Intention 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 Informatics

      STRATUS – AI for climate adaption

      This project aims to identify, adjust and implement AI methods to improve and create a more resilient drinking water production and distribution, where the operators at the drinking water plants are supported in their decision making processes.

      November 2021 - November 2023 Informatics
      Published: 1/9/2020
      Edited: 1/9/2020
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