2025

Doctoral candidate Børge Solli Andreassen at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Deep Learning for Mitral Annulus Delineation in 3D Transesophageal Echocardiography for the degree of Philosophiae Doctor.

Doctoral candidate Paul Kobialka at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Data-driven Formal Methods for User Journey Analysis for the degree of Philosophiae Doctor.

Doctoral candidate Hoa Thi Nguyen at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Continuous Learning and Adaptation in Autonomic Systems for Industrial Applications for the degree of Philosophiae Doctor.

Doctoral candidate Katherine Wyers at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Information Infrastructural Violence - A Critical, Intersectional Study of the Consequences of Gender Recategorization in Government Information Infrastructures for the degree of Philosophiae Doctor.

Doctoral candidate Ali Wajdan at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Automatic Monitoring of Cardiac Function Using Epicardial Accelerometers: Detection of Left Ventricular Valve Events with Signal Processing and Deep Learning for the degree of Philosophiae Doctor.

Doctoral candidate Luca Boretto at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Multi-Modal Laparoscopic Liver Navigation for the degree of Philosophiae Doctor.

Doctoral candidate Malte Hansen at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Design of GDPR Procedures under the EU Data Ecosystem; Architectural Models for Data Sharing under the EU Data Strategy for the degree of Philosophiae Doctor.

Doctoral candidate Juliane Linda Päßler at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Formal Methods for Self-Adaptive Systems for the degree of Philosophiae Doctor.

Doctoral candidate Karthik Shivashankar at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis The Dual Role of Machine Learning in Technical Debt Management: Applying Machine Learning for Identification While Analyzing Debt within ML Systems  for the degree of Philosophiae Doctor.

Doctoral candidate Lisa Pankewitz at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Personalizing Congenital Heart Disease Modeling: From Coordinates to Fiber Architecture for the degree of Philosophiae Doctor.

Doctoral candidate Zhuoxun Zheng at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Knowledge-Augmented Machine Learning and Analytics for the degree of Philosophiae Doctor.

Doctoral candidate Chinmayi Baramashetru  at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Data Privacy Compliance by Construction in Distributed Systems for the degree of Philosophiae Doctor.

Doctoral candidate Tobias John at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Test Case Generation for Knowledge Graph Applications for the degree of Philosophiae Doctor.

Doctoral candidate Min Zhang at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Optimizing Peer-to-Peer Energy Trading through Technological and Behavioral Integrations for the degree of Philosophiae Doctor.

Doctoral candidate Gabor Gereb at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Beamforming Bounds for the degree of Philosophiae Doctor.

Doctoral candidate Cecilie Bucher-Johannessen at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis The Biomarker Potential of the Gut Microbiome in Colorectal Cancer Screening: Investigating Sex Differences and the Role of Phascolarctobacterium for the degree of Philosophiae Doctor.

Doctoral candidate Eisse Hendrik (Erik) Voogd at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Symbolic Execution of Probabilistic Programs for the degree of Philosophiae Doctor.

Doctoral candidate Mohammad Hossein Tabatabaei at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Blockchain System Analysis: From General Architecture and Design to UTXO-Based Transactional Behavior and Synthetic Workloads for the degree of Philosophiae Doctor.

Doctoral candidate Julie Johanne Uv at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Computational Study of the Fetal ECG for the degree of Philosophiae Doctor.

Doctoral candidate Lena Myklebust at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Modeling the Electrophysiology and Mechanics of Ventricular Arrhythmia for the degree of Philosophiae Doctor.

Doctoral candidate Josue Kuika Watat at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis The Role of Health Management Information Systems for Informed Action: An Effective Use Perspective for the degree of Philosophiae Doctor.

Doctoral candidate Ruslan Sorano at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Machine Learning for the Diagnosis of Deep Vein Thrombosis. A Multi-Objective Evolutionary Optimization Approach for the degree of Philosophiae Doctor.

Doctoral candidate Nikolay Vladimirov Nikolov at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Scalable Design, Deployment, and Optimization of Big Data Pipelines Across the Cloud/Edge/Fog Computing Continuum for the degree of Philosophiae Doctor.

Doctoral candidate Tom Frode Hansen at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Machine Learning for Rock Mass Assessment and Decision-Making in Underground Construction - Towards a Reproducible and Trustworthy ML-Modelling Process for the degree of Philosophiae Doctor.