Open thesis topics for 2025/2026:

The thesis topics are published on the program's Canvas page.

Any of these topics can also be adopted for a research project in DAT/DIT 640 (https://chalmers.instructure.com/courses/30826).

If you have your own thesis idea, please feel free to contact me your topic somewhat aligns with my research and/or teaching.

An overview of further available thesis topics is published on our institute’s project website.

Currently running theses:

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.

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.

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