Area of research
Artificial Intelligence · Information Systems
Research interest
Research interests include Service-Oriented Architecture and Web Services, Semantic Web and Ontologies, Business Process Modeling and Analysis, and Natural Language Processing Techniques.
TWIG: Two-Step Image Generation Using Segmentation Masks as an Intermediary in Diffusion Models to Prevent Copyright Infringement
Uncovering AI Governance Themes in EU Policies Using BERTopic and Thematic Analysis
Pirtobrutinib, a highly selective, non-covalent (reversible) BTK inhibitor in patients with B-cell malignancies: analysis of the Richter transformation subgroup from the multicentre, open-label, phase 1/2 BRUIN study
AI Cards: Towards an Applied Framework for Machine-Readable AI and Risk Documentation Inspired by the EU AI Act
CLL-638 Latest Results From an Ongoing Firstin-Human Phase 1a/B Study of NX-5948, a Selective Bruton's Tyrosine Kinase (BTK) Degrader, in Patients With Relapsed/Refractory CLL and Other B-Cell Malignancies
Harmonizing AI Data Governance: Profiling ISO/IEC 5259 to Meet the Requirements of the EU AI Act
To Be High-Risk, or Not To Be—Semantic Specifications and Implications of the AI Act’s High-Risk AI Applications and Harmonised Standards
“Who Should I Trust with My Data?” Ethical and Legal Challenges for Innovation in New Decentralized Data Management Technologies
Comparison and Analysis of 3 Key AI Documents: EU’s Proposed AI Act, Assessment List for Trustworthy AI (ALTAI), and ISO/IEC 42001 AI Management System
Molnupiravir plus usual care versus usual care alone as early treatment for adults with COVID-19 at increased risk of adverse outcomes (PANORAMIC): an open-label, platform-adaptive randomised controlled trial
Ethics and diversity in artificial intelligence policies, strategies and initiatives
Data Collection in the Global South and Other Resource-Constrained Environments: Practical, Methodological and Ethical Challenges
A Rights-Based Approach to Trustworthy AI in Social Media
“Just-in-time” generation of datasets by considering structured representations of given consent for GDPR compliance
Identifying Generative Mechanisms in a Mobile Health (mHealth) Project in Sierra Leone: A Critical Realist Framework for Retroduction