Tobias Schreck

Univ.-Prof. Dipl.-Volksw. Dr.rer.nat. M.Sc.

Tobias Schreck is a Professor with the Institute of Visual Computing (formerly Institute of Computer Graphics and Knowledge Visualization) and head of the Visual Analytics research group.

tobias.schreck@tugraz.at

+43 316 873 - 5403

www.cgv.tugraz.at

TUGRAZonline

Team Schreck

Additional Information

His research interests are in Visual Data Analysis and in applied 3D Object Retrieval. Research questions are how large collections of data, e.g., high-dimensional, spatial-temporal data, and 3D object data, can be visualized and interactively explored for data understanding and decision making. Application areas include visual analysis of engineering and industrial data, multimodal biomedical data, and cultural heritage 3D object data. Tobias Schreck is a principal investigator in the Horizon Europe HEREDITARY project [https://hereditary-project.eu/](2024-2027), the FFG Lead Project PRESENT (2023-2026) [https://www.tugraz.at/institute/cgv/research/projects/present], coordinator of the FWF research group A+CHIS (2021-2026) [https://apchis.cgv.tugraz.at/], and a key researcher in the Pro2Future competence center [https://www.pro2future.at/start-en/]. He has served as papers co-chair for the IEEE Conference on Visual Analytics Science and Technology (now IEEE VIS) in 2017 and 2018, and as associate editor for IEEE Transactions on Visualization and Computer Graphics in 2018-2021.

Publications

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

A Concept for Integrating an LLM-Based Natural Language Interface for Visualizations Grammars

Jobst, A., Atzberger, D., Tytarenko, M., Scheibel, W., Döllner, J., Schreck, T.

WWW Companion '25 - Companion Proceedings of the ACM Web Conference 2025, 2025, 1614-1615, (WWW - Companion Proceedings of the ACM Web Conference)

Analyzing the Sensitivity of Prompt Engineering Techniques in Natural Language Interfaces for 2.5D Software Visualization

Atzberger, D., Jobst, A., Tytarenko, M., Scheibel, W., Döllner, J., Schreck, T.

WWW Companion '25 - Companion Proceedings of the ACM Web Conference 2025, 2025, 1591-1595, (WWW Companion - Companion Proceedings of the ACM Web Conference )

Foreword to the special section on 3D object retrieval 2024 symposium (3DOR2024)

Bustos, B., Biasotti, S., Veltkamp, R., Schreck, T., Sipiran, I.

Computers and Graphics, Vol. 129, 2025

Cluster-Based Approach for Visual Anomaly Detection in Multivariate Welding Process Data Supported by User Guidance

Suschnigg, J., Mutlu, B., Burgholzer, M., Bauer, M., Schreck, T.

IUI 2025 - Proceedings of the 2025 International Conference on Intelligent User Interfaces, 2025, 325-340

Delphi: A Natural Language Interface for 2.5D Treemap Visualization of Source Code

Jobst, A., Atzberger, D., Scheibel, W., Döllner, J., Schreck, T.

Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2025, 867-874, (Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications)

Visual comparative analytics of multimodal transportation

Deng, Z., Chen, H., Lu, Q., Su, Z., Schreck, T., Bao, J., Cai, Y.

Visual Informatics, Vol. 9(1), 2025, 18-30

MANDALA—Visual Exploration of Anomalies in Industrial Multivariate Time Series Data

Suschnigg, J., Mutlu, B., Koutroulis, G., Hussain, H., Schreck, T.

Computer Graphics Forum, Vol. 44(1), 2025

TraSculptor: Visual Analytics for Enhanced Decision-Making in Road Traffic Planning

Deng, Z., Liu, Y., Zhu, M., Xiang, D., Yu, H., Su, Z., Lu, Q., Schreck, T., Cai, Y.

IEEE Transactions on Visualization and Computer Graphics, 2025