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Reasoning and Learning Lab

Division of AIICS · Department of Computer Science (IDA)
Linköping University, Sweden

We develop hybrid AI systems that combine machine learning, reasoning, and planning to create trustworthy, safe, and robust AI for real-world applications—from autonomous systems and healthcare to education and public safety.

About the Lab

The Reasoning and Learning Lab (ReaL) is a research unit within the Division of Artificial Intelligence and Integrated Computer Systems (AIICS), Department of Computer and Information Science (IDA), Linköping University.

Our research focuses on Trustworthy AI, autonomous systems, stream reasoning, and the intersection between knowledge representation and machine learning. We build AI that is not only powerful, but also safe, robust, and transparent—systems that work reliably in complex, dynamic, real-world environments.

The lab is led by Professor Fredrik Heintz, who also serves as Head of the AIICS Division, Director of WASP's Graduate School, Program Director of WASP-ED, and Director of LiU's AI initiative.

Research Areas

Trustworthy AI

Developing AI systems that are safe, fair, transparent, and robust. Coordinator of the EU TAILOR network and the TrustLLM project for open European language models.

Autonomous Systems

Motion planning, trajectory modeling, and runtime monitoring for autonomous robots and drones with safety guarantees. Collaborative projects with Saab, Ericsson, and Swedish Transport Administration.

Stream Reasoning

Real-time reasoning over continuous data streams for time-critical applications, combining formal methods with probabilistic approaches for anomaly detection and decision support.

Applied AI & Education

Deploying AI in healthcare, transportation, logistics, and public safety. Leading national AI education initiatives through WASP-ED and AI Academy.

Neuro-Symbolic AI

Bridging learning and reasoning: combining neural networks with symbolic knowledge representation for systems that generalize, explain, and verify their decisions.

Cybersecurity & Resilience

Developing AI resilient to adversarial attacks. Hosting the national SSF RESIST center (SEK 60M) for cyber-resilient AI systems.

Selected Projects

SSF
RESIST — Cyber Resilient AI

National center for developing resilient AI systems, protected against cyberattacks. SEK 60 million. Directed by Fredrik Heintz.

EU
TrustLLM

Developing a trustworthy, open, and sustainable large language model for European languages including Swedish.

EU
LLMs4EU

European collaboration building open LLMs via the ALT EDIC consortium.

WASP
WASP Research Projects

Multiple PhD and postdoc projects funded by the Wallenberg AI, Autonomous Systems and Software Program, including WARA, NEST Cybersecurity, and NEST WISE initiatives.

Vinnova
DyMuDRoP & ADAPT

Dynamic multi-robot planning and adaptive autonomous systems for industry and transportation.

KAW
WASP-ED

Wallenberg Transformative Technologies Education Development Program. Transforming university education with AI across Sweden.

The lab currently manages 25+ active funded projects from funders including WASP/KAW, EU Horizon, SSF, Vinnova, VR, ELLIIT, and LiU strategic initiatives.

People

Faculty

Postdocs

PhD Students

Staff

Alumni

Ibrahim Delibasoglu
Postdoc
Christian Gustavsson
PhD Student
Trine Platou
Senior Research Coordinator
Fredrik Präntare
PhD Student
Niklas Wretblad
Technician
Lidia Rocha
Visiting PhD Student

News

Contact

Reasoning and Learning Lab (ReaL)
Division of AIICS
Department of Computer and Information Science (IDA)
Linköping University
SE-581 83 Linköping, Sweden