Thesis topics in 2026:
THP-2026-1: Master Thesis: Early detection of tipping points in software engineering.
THP-2026-2: Bachelor Thesis: A quality aware and automated selection pipeline for time-lapse data in ecology.
THP-2026-3: Bachelor Thesis: Cognition support in high-stake decision making: Combining modern AI image recognition with large language models.
Please contact me by e-mail if you are interested in writing a thesis in my research group.
An overview of further available thesis topics is published on our institute’s project website.
Previously supervised master theses:
TH-12: Applying and Evaluating Large Language Models for Triage at a Paediatric Emergency Department in a Swedish Hospital. T. Järgenstedt, E. Nilsson. 2025. Full Text
TH-11: An exploratory field study on the use of data management and data quality requirements in ML-enabled software applied in environmental research. D. S. N. Mahagamarachchi, H. L. P. Chathurika. 2025. Full Text
TH-10: Causal Models for Studies on Fault Detection: Mining Software Repositories. A. Levinsson, L. Fransson. 2024. Full Text
TH-9: Studying an Architectural Pattern for Deep Learning training code. B. Razaq, S. Johansson. 2024. Full Text
TH-8: Requirement representation for safety-critical and fairness aware automotive perception systems: Identifying challenges for cross company collaboration. O. Jokobsson, Z. Rohacova. 2024. Full Text
TH-7: Data Quality Reporting of Time-Series Data in Open Datasets for Environmental Research. G. Efthymiou. 2024. Full Text
TH-6: A Software Engineering Perspective on Data Quality Processes in Environmental Research. M. Moen, M. Norén. 2024. Full Text
TH-5: Exploring Automated Early Problem Identification Based on Diagnostic Trouble Codes. M Forsman, Y. Yang. 2024. Full Text
TH-4: Non-functional requirements and their impact on AGV based systems. V Svensson, M Roudsari. 2023. Full Text
TH-3: Challenges in Specifying Safety-Critical Systems with AI-Components. I Malleswaren, S Dinakaran. 2022. Full Text
TH-2: Quality Attributes of Data in Distributed Deep Learning Architectures. SK Pradhan, S Tungal. 2021. Full text
TH-1: Deriving Contextual Definition and Requirements from Use Cases of Autonomous Drive. J Linder, P Subbiah. 2021. Full text