Janna Omeliyanenko

Janna Omeliyanenko is a researcher at the Chair of Data Science (Informatics X), University of Würzburg, Faculty of Mathematics and Computer Science. She has been actively contributing to the DMIR research group since 2019, focusing on integrating structured knowledge representations (knowledge graphs) with unstructured language models to enhance AI performance. Her work bridges theoretical advancements in NLP with practical applications in knowledge graph completion and media bias analysis.

Her teaching responsibilities include courses such as NLP and Text Mining, Selected Chapters from Machine Learning, and XtAI Labs, reflecting her interdisciplinary expertise in explainable AI and deep learning. Based in Room 50.03.018 at the Institute Building Artificial Intelligence, Campus Hubland Nord, Würzburg, Germany, she can be reached at janna.omeliyanenko@uni-wuerzburg.de.

• Research interests center on knowledge graph integration with LLMs, continual learning for graph completion, and bias detection in multilingual contexts.
• Her publications at ISWC and AAAI conferences demonstrate technical rigor in combining semantic web technologies with modern machine learning approaches.
• Recent work explores adaptive pre-training strategies (CapsKG/PreAdapter) and cross-linguistic social media analysis.