We build AI systems that are usable in the real world.
AIXLab is a research lab at the Department of Computer Science and Engineering, Chalmers University of Technology. We develop and validate machine learning and multimodal AI systems that integrate domain knowledge and are deployed in practice across healthcare, automotive, transport, and sustainable construction.
Research domains
Situation Awareness
Digital twins, vision-language models, and decision support for safety-critical operations.
Healthcare & Medicine
LLM-based clinical decision support and AI-driven telemonitoring for heart failure care.
Automotive
Foundation models for vehicle behavior, LLMs for automotive software engineering.
Transport & Infrastructure
Inclusive mobility, digital twins of transport systems, pavement maintenance.
Agentic AI across the automotive software lifecycle
LLM agents mapped to the phases they target, from code generation to Go/No-Go release decisions, closed by a re-engineering and optimization loop. Developed and evaluated with Volvo.
Multimodal knowledge-intensive systems
Vision, language, sensor, and geospatial inputs flow through perception and knowledge-grounded reasoning to safety-critical decisions.