Michael Riegler

Michael Riegler is a Researcher at the AI Department, Simula Research Laboratory, focusing on interdisciplinary applications of Artificial Intelligence in healthcare, sports analytics, and multimedia systems. His work bridges Machine Learning, AI Alignment, and Applied AI across clinical and real-world domains.

• Key Affiliations: Simula Research Laboratory (AI Department Head)
• Research Themes: Explainable AI in medicine, multimodal data analysis, and AI-driven health monitoring

Research Interests include:

• Developing AI/ML algorithms for medical imaging (e.g., polyp detection, embryo analysis)
• Addressing missing data challenges in healthcare through novel imputation techniques
• Creating multimodal virtual avatars for investigative interview training
• Designing edge AI systems for sports analytics and sustainable fishing

Recent Publications highlight collaborations with institutions in Norway and globally, with a focus on:

• Medical Applications: Polyp segmentation, ECG analysis, and explainable models for disease detection
• Sports Analytics: Athlete performance prediction and soccer video processing
• Data Infrastructure: Lifelogging datasets (ScopeSense), semantic representation frameworks

Labs & Teams include leadership in Simula’s AI Department and participation in projects like Medico Multimedia Task, ImageCLEF, and MediaEval workshops. His work emphasizes responsible AI innovation in public sectors and privacy-preserving systems for edge environments.