Open thesis topics for 2025/2026:

THP-2026-1: Uncovering the impact of missing data on AI models in environmental research: A causal approach.

More thesis topics will be published in August 2025. If you can’t wait, send me an e-mail and we can discuss possible topics.

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

Please contact me by e-mail if you are interested in any of the suggested topics above. 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