Kerstin Bach
Background and activities
Kerstin is an associate professor at the Department of Computer Science. Her core competence field is Machine Learning and Artificial Intelligence. She is currently deputy head of the Data and Artificial Intelligence group and associated with the Norwegian Open AI Lab.
Kerstin was awarded her PhD in Computer Science from the University of Hildesheim, Germany. Her main research interest are data-driven decision support systems as well as knowledge-intensive Case-Based Reasoning. She is the chair of the German Society for Computer Science's Special Interest Group on Knowledge Management and a board member of the Norwegian AI society.
Research Interest:
The main focus of her work are methods for applied artificial intelligence. While the application domains differ, we are investigating how to make knowledge and experience available through intelligent systems. Moreover, how to build systems that support complex, knowledge-intesive decisions using heterogenous data sources. Currently, among other research activities, she is the project manager of the selfBACK EU project that develops an e-Health application for low back pain patients.
She enjoys discussing AI methodologies and applications with fellow researchers, but more importantly teaching it to students and bringing it into multidisciplinary projects and thereby shaping the new digital world.
In particular we are applying methods from the following research fields:
- Subsymbolic AI
- Case-Based Reasoning
- Information Extraction and Knowledge Engineering
Research Group: Data and Artificial Intelligence
Projects:
- AI4EU - An AI-on-demand platform for Europe (partner, H2020, 2019 – 2021)
- selfBACK - A decision support system for self-management of low back pain (project manager, H2020, 2016-2020)
- Back-UP - Personalised Prognostic Models to Improve Well-being and Return to Work After Neck and Low Back Pain (task leader, H2020, 2018 – 2020)
Scientific, academic and artistic work
Displaying a selection of activities. See all publications in the database
2019
- (2019) Case-Based Reasoning Research and Development. Springer. 2019. ISBN 978-3-030-29248-5. Lecture Notes in Computer Science (11680).
- (2019) A Data-Driven Approach for Determining Weights in Global Similarity Functions. Lecture Notes in Computer Science (LNCS). vol. 11680.
- (2019) Case Representation and Similarity Modeling for Non-Specific Musculoskeletal Disorders - A Case-Based Reasoning Approach. AAAI Press. 2019. ISBN 978-1-57735-805-3.
- (2019) Learning similarity measures from data. Progress in Artificial Intelligence.
- (2019) Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning. 2019 IEEE 13th International Conference on Self-Adaptive and Self-Organizing Systems (SASO).
- (2019) IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning. 9th International Conference on the Internet of Things (IoT 2019), October 22--25, 2019, Bilbao, Spain.
- (2019) An App-Delivered Self-Management Program for People With Low Back Pain: Protocol for the selfBACK Randomized Controlled Trial. Journal of Medical Internet Research. vol. 8 (12).
2018
- (2018) The 25th International Conference on Case-Based Reasoning. The AI Magazine. vol. 39 (2).
- (2018) Knowledge Engineering for Distributed Case-Based Reasoning Systems. Synergies Between Knowledge and Software Engineering.
- (2018) The 3rd International Workshop on Knowledge Discovery in Healthcare Data. IJCAI-ECAI 2018 ; Stockholm. 2018-07-13 - 2018-07-13.
- (2018) Design of a clinician dashboard to facilitate co-decision making in the management of non-specific low back pain. Journal of Intelligent Information Systems.
- (2018) A Decision Support System to Enhance Self-Management of Low Back Pain: Protocol for the selfBACK Project. Journal of Medical Internet Research. vol. 7 (7).
- (2018) Bayesian-Supported Retrieval in BNCreek: A Knowledge-Intensive Case-Based Reasoning System. Lecture Notes in Computer Science (LNCS). vol. 11156 LNAI.
- (2018) Modelling Similarity for Comparing Physical Activity Profiles - A Data-Driven Approach. Lecture Notes in Computer Science (LNCS). vol. 11156 LNAI.
- (2018) Classification of movement quality in a weight-shifting exercise. CEUR Workshop Proceedings. vol. 2148.
2017
- (2017) Evolutionary inspired adaptation of exercise plans for increasing solution variety. Lecture Notes in Computer Science (LNCS). vol. 10339 LNAI.
- (2017) IntelliMeal - Enhancing Creativity by Reusing Domain Knowledge in the Adaptation Process. The Twenty-Fifth International Conference on Case-Based Reasoning (ICCBR 2017) Workshop Proceedings.
2016
- (2016) Case Representation and Similarity Assessment in the SELFBACK Decision Support System. Lecture Notes in Computer Science (LNCS). vol. 9969 LNCS.
- (2016) Bruk av akselerometer i evaluering av behandling av barn med cerebral parese. Skreddersydde løsninger for fremtiden. Ortopedisk høstmøte . Norsk ortopedisk forening; Oslo. 2016-10-26 - 2016-10-28.
2014
- (2014) Knowledge Modeling with the Open Source Tool myCBR. 10th Workshop on Knowledge Engineering and Software Engineering . Nalepa, G. J., Baumeister, J. and Kaczor, K.; Prague. 2014-08-19 - 2014-08-19.