Jürgen Bernard, Prof. Dr.

	Professor Jürgen Bernard, Ph.D. University of Zurich Department of Informatics (IfI) Digital Society Initiative (DSI) Head of IVDA
	Homepage	juergen-bernard.info
	Email	juergen.bernard AT uzh.ch
	ORCID	0000-0001-8741-9709
	Profiles	Google Scholar DBLP LinkedIn
	CV	download (PDF, 343 KB) (as of September 2025)
	Bibliography	download (PDF, 1 MB) (as of September 2025)

Research

My primary research includes the characterization, design, and evaluation of visual-interactive interfaces to combine the strengths of both humans and algorithms in interactive machine learning and data science applications. My data-centered focus is on time series data as well as multivariate data. My technique-driven focus ranges from unsupervised to supervised machine learning including cluster analysis, dimensionality reduction, active learning, regression analysis, and classification. From a task perspective most of my work supports exploratory data analysis, i.e., sense-making, decision-making, and hypotheses-building for undiscovered data. Important application domains so far include climate and Earth observation, digital libraries, human motion analysis, service and energy network analysis, political decision-making, music classification, sports data analysis, stock chart analysis, as well as medical and patient-related research in particular.

Short Bio

Jürgen Bernard is an Assistant Professor of Computer Science at the University of Zurich (UZH), Switzerland. He is leading the Interactive Visual Data Analysis (IVDA) Group. He is affiliated with the Digital Society Initiative (DSI), the interdisciplinary and cross-faculty research initiative of the UZH.

Jürgen Bernard studied Computer Sciences with focus on Computer Graphics and Bio Technology at the University of Technology of Darmstadt. His Diploma thesis in 2009 was about the visual-interactive cluster analysis using neural networks. He received his PhD Degree in 2015, when he was with Fraunhofer IGD. His thesis was about “Exploratory Search in Time-Oriented Primary Data”. In 2016, Jürgen Bernard started as a Post-doc researcher at TU Darmstadt at Interactive Graphics Systems Group, leading the Visual-Interactive Machine Learning Group. In 2019, Jürgen Bernard became a postdoctoral research fellow at the University of British Columba, Vancouver, Canada, where he joined the InfoVis group, led by Professor Tamara Munzner.

Personal Awards and Achievements (best paper awards not listed)

Jürgen Bernard's publications have earned him over ten Best Paper Awards or Honorable Mentions. His special personal awards and achievements include:

2022: EuroGraphics Young Researcher Award, Eurographics (EG), Reims, France
2021: EuroVis Young Researcher Award, EuroVis, Zurich, Switzerland
2019: Zertifikat Hochschullehre (2016-2019), Deutsche Gesellschaft für Hochschuldidaktik, Germany
2017: Dirk Bartz Prize Visual Computing in Medicine, Eurographics (EG), Lyon, France
2016: Hugo-Geiger Prize for Excellent Dissertations, Fraunhofer Gesellschaft, Munich, Germany
2016: GI Preise für Exzellente Dissertationen (Nominee TU Darmstadt), Gesellschaft für Informatik (GI), Dagstuhl, Germany

Publications

ZORA Publication List

Publications

Blum, M., & Bernard, J. (2026). Feedback Loops in Faceted Search: Potential and Challenges for Dynamic Information Landscapes 1–3. https://doi.org/10.2312/evpd.20261010
Sachdeva, M., Narayanan, C., Wiedenkeller, M., Jana Sedlakova, & Bernard, J. (2026). Systematic validation of LLM-generated structured data - A design space and remaining challenges Computers & Graphics, 135, 104545. https://doi.org/10.1016/j.cag.2026.104545
Rakuschek, J., Leitner, M. C., Bernard, J., Wriessnegger, S. C., & Schreck, T. (2025). AnoScout - Visual Exploration of Anomalies and Anomaly Detection Algorithm Ensembles in Time Series Data (G. Wallner, J. She, M. Burch, & H.-N. Liang, Eds.; No. 18; p. 9). ACM Digital library. https://doi.org/10.1145/3769534.3769577
Al-Hazwani, I., Mylaeus, M., Mormocea, D., & Bernard, J. (2025). HUMMUS: Blending Data Humanism with Sequential Music Recommender Systems to Foster Explainability and Scrutability (G. Wallner, J. She, M. Burch, & H.-N. Liang, Eds.; No. 53; p. 53). ACM Digital library. https://doi.org/10.1145/3769534.3769578
Al-Hazwani, I., Morgenshtern, G., Mennatallah El-Assady, & Bernard, J. (2025). f-RecX: A framework for designing effective textual explanations in recommender systems’ user interfaces International Journal of Human-Computer Studies, 205, 103627. https://doi.org/10.1016/j.ijhcs.2025.103627
Bernard, J., Solen, M., Novak Lauscher, H., Stewart, K., Ho, K., & Munzner, T. (2025). VIVA: Virtual Healthcare Interactions Using Visual Analytics, With Controllability Through Configuration IEEE Transactions on Visualization and Computer Graphics, 31, 10384–10402. https://doi.org/10.1109/TVCG.2025.3599458
Sachdeva, M., Blum, M., Stricker, Y., Mumenthaler, R., & Bernard, J. (2025). Exploring Multi-Faceted Connections Between Heterogeneous Digital Scholarly Editions: A Data-First Design Study (M. Schwarz, Ed.; pp. 32–38). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/VIS60296.2025.00057
von Wyl, V., & Bernard, J. (2025). Grand Challenge: Mediating Between Confirmatory and Exploratory Research Cultures in Health Sciences and Visual Analytics (R. S. Laramee & R. Ruddle, Eds.; No. 16; p. online). s.n. https://visualanalyticshealthcare.github.io/homepage/proceedings/2025/vis25n-sub9654.pdf
Al-Hazwani, I., Ahmed, N., Fedosov, A., Aschwanden, O., Huber, L., Lutziger, D., Kirchdorfer, C., & Bernard, J. (2025). Blooming Beats: An Interactive Explainable Recommender System for Exploring Personal Music Narratives through Data Humanism Principles (No. 16). 83. https://doi.org/10.1145/3750069.3750396
Sachdeva, M., Christopher Naryanan, Wiedenkeller, M., Sedlakova, J., & Bernard, J. (2025). Val-LLM: A Visual Analytics Approach for the Critical Validation of LLM-Generated Tabular Data (Eurographics, Ed.; p. 20251235). Eurographics. https://doi.org/10.2312/vmv.20251235
Al-Hazwani, I., Mylaeus, M., Mormocea, D., Bernard, J., & Porcaro, L. (2025). HUMMUS: A Human-Centered Approach to Sequential Recommendation Explainability through Data Humanism (A. Ferraro, L. Porcaro, & C. Bauer, Eds.; No. 4045; pp. 1–12). CEUR-WS. https://ceur-ws.org/Vol-4045/
Bernard, J., Borland, D., Laramee, R. S., Preim, B., Raidou, R. G., & Vilanova, A. (2025). Future Challenges and Unsolved Problems in Health Visualization 1–4. https://doi.org/10.2312/evt.20251119
Matt, M., Sedlakova, J., Bernard, J., Zeppelzauer, M., & Waldner, M. (2025). Scalable Class-Centric Visual Interactive Labeling Computers & Graphics, 129, 104240. https://doi.org/10.1016/j.cag.2025.104240
Blum, M., Blum, J., Sachdeva, M., & Bernard, J. (2025). HAXplorer: Interactive visual exploration of hierarchical item and attribute spaces Computers & Graphics, 129, 104233. https://doi.org/10.1016/j.cag.2025.104233
Bernard, J. (2025). The Human-Data-Model Interaction Canvas for Visual Analytics 1–6. https://doi.org/10.2312/eurova.20251096
Barth, C.-M., Fedosov, A., Bernard, J., Morgenshtern, G., & Huang, E. M. (2025). Incident Cards: A Tool for Documenting and Reviewing Experiences with Chronic Conditions 1–8. https://doi.org/10.1145/3706599.3720194
Bernard, J., Barth, C.-M., Cuba, E., Meier, A., Peiris, Y., & Shneiderman, B. (2025). IVESA - Visual Analysis of Time-Stamped Event Sequences IEEE Transactions on Visualization and Computer Graphics, 31, 2235–2256. https://doi.org/10.1109/tvcg.2024.3382760
Sedlakova, J., Stanikić, M., Gille, F., Bernard, J., Horn, A. B., Wolf, M., Haag, C., Floris, J., Morgenshtern, G., Schneider, G., Zumbrunn Wojczyńska, A., Mouton Dorey, C., Ettlin, D. A., Gero, D., Friemel, T., Lu, Z., Papadopoulos, K., Schläpfer, S., Wang, N., & von Wyl, V. (2025). Refining Established Practices for Research Question Definition to Foster Interdisciplinary Research Skills in a Digital Age: Consensus Study With Nominal Group Technique JMIR Medical Education, 11, e56369. https://doi.org/10.2196/56369
Sachdeva, M., Narayanan, C., Wiedenkeller, M., Sedlakova, J., & Bernard, J. (2025). A Design Space for the Critical Validation of LLM-Generated Tabular Data online. https://doi.org/10.2312/eurova.20251101
Al-Hazwani, I., Lutziger, D., Kirchdorfer, C., Huber, L., Aschwanden, O. R., Bernard, J., & Boratto, L. (2025). Blooming Beats: An Interactive Music Recommender System Grounded in TRACE Principles and Data Humanism (M. Bielikova, P. Kordik, & M. Schedl, Eds.; pp. 1331–1333). ACM Digital library. https://doi.org/10.1145/3705328.3759337

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Jürgen Bernard, Prof. Dr.

Research

Short Bio

Personal Awards and Achievements (best paper awards not listed)

Publications

ZORA Publication List

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