Education

Resources

Available projects for BSc and MSc theses

Below is a list of possible topics for BSc and MSc theses in the area of pattern recognition and related fields. In addition, many further projects in pattern recognition and machine learning are possible. If you have an interesting idea or would like to develop a project together with us, please do not hesitate to contact a team member.

We also offer topics for BSc theses in the area of human–computer interaction. If you are interested in this field, please contact us as well.

The detailed scope of each project is defined in consultation with the supervisor. In particular, the listed projects can be carried out either as a BSc or an MSc thesis, depending on the agreed scope.

TitleContact
Graph-Enhanced BERT for Automatic Error Detectioncorina.masanti@unibe.ch
Predicting Molecular Energy from QTAIM-derived Multi-granularity Descriptors using Graph Neural Networks and Transformerslinlin.jia@unibe.ch
Modeling Dynamic Intraoperative Physiological Signals via Spatio-temporal Graphs for Predicting Postoperative Adverse Outcomeslinlin.jia@unibe.ch
DeepSchemata: Towards Unified Graph Extraction for Technical Drawingslinlin.jia@unibe.ch
Are Vision Large Language Models Effective Handwriting Graph Extractors?linlin.jia@unibe.ch
Tangle-Based Heuristics for Subgraph Matching in Large Networkskalvin.dobler@unibe.ch
GAUGE: Graph Attention with Universal and Global Extensionsmerlin.streilein@unibe.ch
SCOPE: Summarization with Context-Oriented Preprocessing and Evaluationmerlin.streilein@unibe.ch
Reinforcement Learning for Continuous PV Power Forecasting with Reward-Based Model Updatesfereshteh.jafari@unibe.ch
Transfer Learning and Domain Adaptation for PV Prediction Across Different Geographical Locationsfereshteh.jafari@unibe.ch
Adaptive Online Learning for Short-Term PV Power Predictionfereshteh.jafari@unibe.ch
Smart Home Energy Management App with PV Predictionfereshteh.jafari@unibe.ch
Spatiotemporal Gait Parameters from Wrist-Worn Accelerometersaaron.colombo@unibe.ch
Analysis of controlled augmentation in SE(3) environmentsfrancesco.leonardi@unibe.ch
Learning and analysis of rotations in SE(3) environmentsfrancesco.leonardi@unibe.ch
Solving Real World Problems with Pattern Classificationkaspar.riesen@unibe.ch

Completed Thesis Projects

DateTitleTypeStudent
AS 2025Matrix Partitioning TechniquesBSc thesisRoger Wolf
AS 2025End-to-End LSTM for River Water Temperature Prediction Performance Evaluation on the Swiss River DatasetBSc thesisJasmin Kurtanovik
AS 2025Graph-Based Wave Function Collapse for Data Augmentation in Graph Classification An Experimental Evaluation Using a Graph Convolutional NetworkBSc thesisMarco Brubacher
SS 2025Variational Autoencoder for Graph Understanding and ExpansionMSc thesisMerlin Streilein
SS 2025New Systems for Graph ClassificationMSc thesisMatteo Raphael Biner
SS 2025A Reinforcement Learning Approach to Graph Edit Distance EstimationBSc thesisGian Alexander Zwahlen
SS 2025BERT for Error DetectionBSc thesisCécile Semelet
SS 2025The Core of ChangeBSc thesisDamian Rhyn
SS 2025Rule-based Text CorrectionBSc thesisNils E. Neeb
SS 2025Between Phones and Video-ChatsBSc thesisLeonard Felix Hertzberg
SS 2025Towards Reliable Fact-Verification SystemsBSc thesisDeniz Demir
SS 2025Die Wirkung von UX-Gesetzen auf die Usability und User Experience interaktiver WebschnittstellenBSc thesisRomano Brentani
DateTitleTypeStudent
SS 2024Automatic Exercise ClassificationBSc thesisAris Konstantinidis
SS 2024Imputing Gaps in Swiss River DatasetBSc thesisCarlo Robbiani
SS 2024Predicting Events of HypoglycemiaBSc thesisFabian Hüni
SS 2024Toxic Comment ClassificationBSc thesisLeroy Borgeaud dit Avocat
SS 2024Counting Sheep in Aerial Imagery Under Adverse ConditionsBSc thesisLars Wüthrich
SS 2024Reinforcement Learning for TichuBSc thesisNicolas Wyss
SS 2024Extraction of Vital Signs from Vibration SignalsBSc thesisRamon Näf
SS 2024Creation and Analysis of a Multimodal DatasetBSc thesisVithusan Ramalingam
SS 2024Towards Predictive Medical DiagnosticsBSc thesisMarc Fuhrer
SS 2024German Dataset Augmentation and Performance Gains through Character-Level ModelingBSc thesisDimoth Paththiniwasam
SS 2024Classifying Karate Kumite ActionsBSc thesisAlessio Petrone
SS 2024Curling Strategy AnalysisMSc thesisMichael Brunner
DateTitleTypeStudent
AS 2022Matching Graphs with Enriched Node Labels using Weisfeiler-Lehmann HashesBSc thesisRaphael De Gottardi
DateTitleTypeStudent
AS 2020Analysis of Matching-GraphsBSc thesisVeronika Wu

Courses

TitleSemester
Programmieren für NaturwissenschaftenSS 25
Graph Based Pattern RecognitionSS 25
Seminar Pattern RecognitionSS 25
Mensch-Maschine SchnittstelleAS 25
Programmieren für NaturwissenschaftenAS 25
Programmierung 1AS 25
Seminar Pattern RecognitionAS 25