Currently available thesis topics (04-2024):

I currently do not have any open thesis topics. If you are interested in a thesis and you have a fantastic research idea, please contact me and we can discuss how to define a thesis out of your idea.

Currently running master theses:

TH-2024-1: Explore how data needs / requirements are communicated between (ML) model-developers and experimenters in environmental research and investigate ways to improve this communication.

TH-2024-2: Investigate the reporting of data quality aspects in data portals and databases used for obtaining training data for ML models in environental research.

TH-2024-3: Investigate how to structure requirements for automotive perception systems and inter-relate between them especially in relation to safety aspects and fairness.

TH-2024-4: Studying an architectural pattern for deep learning code in the automotive industry.

TH-2024-5: Explore causal models as a way to improve scientific grounding for studies on designing defect / fault detection.

Previously supervised master theses:

TH-5: Exploring Automated Early Problem Identification Based on Diagnostic Trouble Codes. S Forsman, Y. Yang. 2024

TH-4: Non-functional Requirements and their Impact on AGV based Systems. V Svensson, M Roudsari. 2023

TH-3: Challenges in Specifying Safety-Critical Systems with AI-Components. I Malleswaren, S Dinakaran. 2022

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