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Division of Theoretical Computer Science

The Division of Theoretical Computer Science (TCS) works on the foundations of efficient and correct algorithms and software, and it deals with the tractability of computational problems. Applications areas include software engineering, computer security and privacy, cryptography, verification and sat solving, natural language tools, and computer science education 

Research areas

Algorithms and Complexity research

Algorithms and Complexity

Solving a computational problem requires resources and the fundamental question studied in this research area is to determine, as closely as possible, the computational difficulty of basic problems.

computer security research

Computer security

We study the impact of network communication delays and failures on the behavior of networked software, where error handling is difficult to test with conventional means.

Computer Science education research

Computer science education

Computer science education research is an interdisciplinary area aiming at improving the understanding of how students learn computer science and how the teaching and assessment of computer science could be improved.

Foundations of data science research

Foundations of Data Science

Data science has emerged as a key discipline to enable transforming the available data into knowledge products that bring insights into the corresponding domains, improve decision making, and accelerate scientific discovery.

Software construction and analysis research

Software construction and analysis

A major current technological and societal challenge is to be able to produce software systems that behave in a reliable and predictable manner. We perform research into different ways of mastering software complexity.

Meet the division

Recent publications

C. Artho et al., "JPF: From 2003 to 2023," in Tools and Algorithms for the Construction and Analysis of Systems - 30th International Conference, TACAS 2024, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2024, Proceedings, 2024, pp. 3-22.
L. Garcia-Pueyo et al., "Integrity 2024: Integrity in Social Networks and Media," in WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024, pp. 1212-1213.
W. Zhong et al., "MemoryBank: Enhancing Large Language Models with Long-Term Memory," in Proceedings Of The Aaai Conference On Artificial Intelligence, 2024, pp. 19724-19731.
Full list in the KTH publications portal


Samuel Lavebrink and Madeleine Lindström are studying the Master's programme Machine Learning.

How to stop cyber-attacks with honeypots

In the ever-evolving landscape of cyber warfare, defending against human-controlled cyberattacks requires innovative strategies. A recent study conducted by students at KTH delves into the realm of cy...

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Cyrille Artho new director of CASTOR

Cyrille Artho is the new Director of the CASTOR Software research centre. He’s lived in Japan for 11 years, where he worked on analysing networked software and testing together with software security....

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Photo: Markus Spiske, Unsplash

New tool reduces static Java code violations

SORALD fixes rule violations raised by SonarQube, one of the most popular static code analysers used by developers.

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