Stefan Lengauer

Dipl.-Ing. Dr.techn. BSc

Stefan Lengauer joined the Institute of Visual Computing (formerly Institute of Computer Graphics and Knowledge Visualization) in 2018, after receiving his Master’s degree in “Space Sciences and Earth from Space” from TU Graz. In 2022 he received his PhD in visual computing with a focus on applications of visualization and similarity search for archaeological research.

s.lengauer@tugraz.at

+43 316 873-5407

stefan-lengauer.at

TUGRAZonline

Team Schreck

Additional Information

Currently, he is employed as a project assistant in both the FWF research group A+CHIS and the Horizon Europe HEREDITARY project, where he focuses on topics pertaining to visualization in health related contexts and analyzing user behavior.

Publications

Exploring Genes in the Brain through Multimodal Views driven by Disorder Ontologies

Kantz, B., Veronese, M., Giacomel, A., Atzori, M., Nikolova-Koleva, I., Silvello, G., Waldert, P., Lengauer, S., Schreck, T.

VCBM 2026: Eurographics Workshop on Visual Computing for Biology and Medicine, 2026

EEGlass: A Fully Interpretable EEG Dementia Screening Assistant

Waldert, P., Grabner, M., Schilcher, L., Tscheppe, N., Tussardi, G., Kantz, B., Lengauer, S., Schreck, T.

VCBM 2026 - Eurographics Workshop on Visual Computing for Biology and Medicine - Short Papers, 2026

Interactive 3D Exploration of Large-Scale Neuronal Network Simulations with a Graph Lens

Waldert, P., Kantz, B., Tussardi, G., Lengauer, S., Schreck, T.

VCBM 2026 - Eurographics Workshop on Visual Computing for Biology and Medicine - Short Papers, 2026

NeuroMaps – A Compact Fingerprint for Analyzing Brain Activity

Lengauer, S., Kantz, B., Waldert, P., Tussardi, G., Kohn, N., Schreck, T.

EuroVis 2026 - Short Papers, 2026

Parameter Space Analysis through Guided Visual Interpolations

Kantz, B., Waldert, P., Lengauer, S., Staudinger, C., Schuster, S., Schreck, T.

MLVis 2026: Machine Learning Methods in Visualisation for Big Data, 2026

CHASTE: Constrained Holistic Annotator System with onTological Entities

Kantz, B., Waldert, P., Lengauer, S., Schreck, T.

Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2026), 2026

Visual Exploration of Ontologies Supported by Language Models and Interactive Lenses

Kantz, B., Waldert, P., Lengauer, S., Schreck, T.

18th International Symposium on Visual Information Communication and Interaction, VINCI 2025, 2025

OnSET: Ontology and Semantic Exploration Toolkit

Kantz, B., Innerebner, K., Waldert, P., Lengauer, S., Lex, E., Schreck, T.

SIGIR 2025 - Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025, 3980-3984

Multi-label learning on low label density sets with few examples

Vergara, M., Bustos, B., Sipiran, I., Schreck, T., Lengauer, S.

Expert Systems with Applications, Vol. 265, 2025