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WASP, Wallenberg AI autonomous systems and software program, is the largest individual research investment in Sweden in modern times. One of the WASP research environments at LiU is located at the Department of Computer and Information Science.

Today’s society rests on cyber security and the ability to be one step ahead of hackers. In recent years, a new threat has emerged – AI. However, according to researchers Elisa Bertino and Simin Nadjm-Tehrani, AI could also be part of the solution.

Kristian Sandahl and colleagues, SAS, IDA, receive SEK 5,6 million from Vinnova to advance methods for quality assurance of software generated by AI models. With contributions from companies and LiU, the project will turn over almost SEK 18 million.

The race between hackers trying to crack systems vital to the functioning of society and cybersecurity experts is constantly ongoing. LiU-researchers will now develop AI that can detect hacker attacks and take action before any damage is done.

On the 3rd of June, George Osipov successfully defended his thesis in the intersection of theoretical computer science and artificial intelligence (AI), with a focus on parameterized complexity of constraint satisfaction problems (CSPs).

David Speck and Daniel Gnad at the Department of Computer and Information Science have won the Best Paper Award at the Conference ICAPS 2024, one of the most important conferences for automated planning, a topic in artificial intelligence.

Knut and Alice Wallenberg Foundation grants SEK 70 million to WASP for a new initiative that promotes the uptake of AI based methodologies in academic research in Sweden.

EurAI, a representative body of the European AI community, has awarded LiU researcher Mattias Tiger for his doctoral thesis. He may be the first Swedish researcher to receive such an award.

In this project, we consider simultaneously generating coalitions of agents and assigning the coalitions to independent tasks. This optimization problem has many real-world applications, including forming goal-oriented teams of agents.

On the 8th of December, Johan Källström at the Department of Computer and Information Science defended his thesis about reinforcement learning, a machine learning method, and its utility for simulation-based pilot training.