Kerstin Bach

Professor Kerstin Bach is affiliated with the Department of Computer Technology and Informatics at NTNU's Faculty of Information Technology and Electrical Engineering. Her research focuses on artificial intelligence, machine learning, and their applications in health informatics and robotics. Notable projects include the selfBACK app for musculoskeletal pain management and reinforcement learning for robotic systems. She has supervised numerous doctoral students in areas like activity recognition and explainable AI.

• Education: Formal academic degrees not explicitly listed in text.

Research interests span:
- Case-Based Reasoning for clinical decision support
- EHealth/mHealth applications (e.g., wearable sensor analytics)
- Explainable AI methodologies
- Human activity recognition using accelerometer data

Recent work emphasizes:
- Machine learning models for health monitoring (sleep/wake detection, gait analysis)
- Reinforcement learning for robotics and autonomous systems
- AI-driven clinical tools for pain management

• Key Projects:
  • selfBACK app: Digital self-management tool for musculoskeletal pain (RCT validated)
  • UtiliGEM: Energy management framework for IoT devices

Labs/Teams: Active in NTNU's AI research groups focusing on healthcare informatics and robotics. Collaborates with medical institutions on clinical AI applications.