Kerstin Bach
Scholar

Kerstin Bach

Google Scholar ID: DJzQ1J8AAAAJ
Norwegian University of Science and Technology, NTNU
Artificial IntelligenceCase-Based ReasoningMachine LearningKnowledge Management
Citations & Impact
All-time
Citations
1,564
 
H-index
21
 
i10-index
40
 
Publications
20
 
Co-authors
44
list available
Resume (English only)
Academic Achievements
  • Principal investigator or key contributor to the following major projects:
  • - TrustLLM (2023–2026, EU HEU): Democratizing trustworthy and factual large language model technology for Europe
  • - LABDA (2023–2027, EU MSCA): Learning Network for Advanced Behavioural Data Analysis
  • - Digi-FrailCare (2023–2027, NTNU Helse): Sustainable AI-driven personalized care model for frail older adults
  • - AI-MENT (2023–2027, NTNU Helse): Machine learning for tailored mental health treatments
  • - SmaRTWork (2021–2027, Research Council of Norway): Digital system for personalized return-to-work recommendations for musculoskeletal disorders
  • - Physical activity behavior and sleep study (2020–2025, NTNU Helse)
  • - SupportPrim (2020–2024, Research Council of Norway): AI for treatment planning of musculoskeletal pain
  • - Exaigon (2020–2024, Research Council of Norway): Explainable AI systems for gradual industry adoption
  • - AI4EU (2019–2021, EU H2020): AI-on-demand platform for Europe (partner)
  • - selfBACK: Decision support system for self-management of low back pain
Background
  • Professor at the Department of Computer Science, Norwegian University of Science and Technology (NTNU)
  • Core expertise in Machine Learning and Artificial Intelligence
  • Director of the Norwegian Open AI Lab
  • Research Director of the NorwAI research center
  • Deputy Head of the Data and Artificial Intelligence unit
  • Main research interests: data-driven decision support systems and knowledge-intensive Case-Based Reasoning
  • Active in national and international AI communities; serves as chair and reviewer for international conferences
  • Board member of the German Society for Computer Science's Special Interest Group on Knowledge Management
  • Member of the Norwegian AI Society
  • Member of ACM, IEEE, and ELLIS
  • Applies AI methodologies in multidisciplinary projects, especially in e-health domains such as low back pain management, physical activity, sleep, and mental health