Research lab · Chalmers University of Technology

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.

What we mean by "usable"

The LEAST framework

L
Learnable
New users can start working with the system and reach competence quickly.
E
Explainable
The system can clearly explain its reasoning whenever it produces an outcome.
A
Accessible
The system is usable for people with a wide range of abilities and disabilities.
S
Scalable
The system adapts to varying levels of demand without compromising user experience.
T
Testable
Components and behaviors can be clearly specified and effectively tested.
What we work on

Research domains

Situation Awareness

2 active projects · 2 total

Digital twins, vision-language models, and decision support for safety-critical operations.

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Healthcare & Medicine

3 active projects · 3 total

LLM-based clinical decision support and AI-driven telemonitoring for heart failure care.

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Automotive

3 active projects · 3 total

Foundation models for vehicle behavior, LLMs for automotive software engineering.

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Transport & Infrastructure

3 active projects · 4 total

Inclusive mobility, digital twins of transport systems, pavement maintenance.

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Building

3 active projects · 4 total

AI for circular construction, sustainable renovation, and urban planning.

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