Prof. Robert Vorburger

Work at ZHAW

Position

Lecturer / Co-Head of Research Centre

Focus

Data Management & Visualization

Teaching

• Programming / ADLS
• Databases and Data Architecture Systems / ACLS

Professional development teaching

Einführung in SQL

Experience

• Chief Competence Center IoT
  HELVETING Engineering LLC
  01 / 2016 - 01 / 2017
• Expert Software Development Engineer
  HELVETING Engineering LLC
  05 / 2015 - 01 / 2017
• Postdoctoral Researcher
  Columbia University in the City of New York
  10 / 2013 - 03 / 2015

Network

Membership of networks

ZHAW Datalab

ORCID digital identifier

ORCID ID: 0000-0001-9780-0343

Social media

LinkedIn

Projects

• Assistive technologies for healthy ageing at home / Project leader / ongoing
• Greengrocer Food Chain Modelling: Nutrition, Processing and Food Waste as Cornerstones of an Enhanced Model for Food System Networks / Team member / ongoing
• Breeding Wheat for High Baking Quality Under Reduced Nitrogen Input / Deputy project leader / ongoing
• Green Betty – Making sustainability visible on the plate / Team member / completed
• Digital Self-Learning Unit Design of Experiment / Team member / completed
• Bridging the Gap: From Human Expertise to Autonomous Maintenance Services / Project leader / completed
• Simulation-based optimization of bulk carrier unloading systems / Deputy project leader / completed
• Compensation Study Universities of Applied Sciences Switzerland 2023 / Deputy project leader / completed
• AWACS – Animal Welfare Assessment and Control System for Fish Farms / Team member / completed
• Predictive Analytics for Hospital Supply Chain Management / Team member / completed
• Designing Business Models for the IoT / Team member / completed
• Dynamik Knowledge Platform / Deputy project leader / completed
• Cocoa in Numbers – from data to knowledge / Co-project leader / completed
• Development of a web-based food frequency questionnaire / Team member / completed
• Softscope / Project leader / completed
• Simulation & Optimization needs HPC / Team member / completed
• Longitudinal progression of White Matter Hyperintensities / Project leader / completed

Publications

Articles in scientific journal, peer-reviewed

• Pannen, S. T. et al. (2025) ‘Relative validity and reproducibility of a semi-quantitative web-based food frequency questionnaire for Swiss adults’, Nutrients, 17(9), p. 1555. doi: 10.3390/nu17091555.
• Pannen, S. T. et al. (2023) ‘Development of a multilingual web-based food frequency questionnaire for adults in Switzerland’, Nutrients, 15(20), p. 4359. doi: 10.3390/nu15204359.
• Mildenberger, T. et al. (2023) ‘The role of data scientists in modern enterprises : experience from data science education’, SIGMOD Record, 52(2), pp. 48–52. doi: 10.21256/zhaw-27357.
• Igwe, K. C. et al. (2021) ‘Automatic quantification of white matter hyperintensities on T2-weighted fluid attenuated inversion recovery magnetic resonance imaging’, Magnetic Resonance Imaging, 85, pp. 71–79. doi: 10.1016/j.mri.2021.10.007.
• Meier, I. B. et al. (2020) ‘Brain areas with normatively greater cerebral perfusion in early life may be more susceptible to beta amyloid deposition in late life’, Cerebral Circulation - Cognition and Behavior, 1(100001). doi: 10.1016/j.cccb.2020.100001.
• Lao, P. J. et al. (2019) ‘White matter regions with low microstructure in young adults spatially coincide with white matter hyperintensities in older adults’, Frontiers in Aging Neuroscience, 11(345). doi: 10.3389/fnagi.2019.00345.

Other publications

• Vorburger, R. (2023) ‘Gebietsüberwachung im Pflanzenschutz : das Surveillance Tool’, TRANSFER, 2023(1), p. 4. doi: 10.21256/zhaw-29500.
• Chatelain, K. et al. (2022) ‘Cocoa in numbers : from data to knowledge’, in 10th Round Table Cocoa, Hamburg, Germany, 2-3 June 2022.
• Busin, A., Vorburger, R. and Kinner, M. (2022) ‘Softscope : automatic evaluation of microscopy images’, Transfer English edition, 2022(1), p. 5. doi: 10.21256/zhaw-29554.
• Vorburger, R. and Hollenstein, L. (2021) ‘Neue Verrechnungsmodelle für die Maschinenindustrie’, Transfer, 2021(2), p. 5. doi: 10.21256/zhaw-23748.
• Chetschik, I. et al. (2019) ‘Cocoa in numbers : from data to knowledge’, in 8. Round Table Cocoa, Hamburg, 13 - 14. Juni 2019.
• Vorburger, R. and Hollenstein, L. (2019) ‘Virtuell Schäumen : Simulieren und Visualisieren’, Transfer, 2019(2), p. 6. doi: 10.21256/zhaw-18853.
• Vorburger, R. (2018) ‘Harbinger of brain damage’, Transfer, 2018(2), p. 13. doi: 10.21256/zhaw-3410.
• Vorburger, R. (2017) ‘Biomarker für Demenzkrankheiten’, Transfer, 2017(2), p. 7. doi: 10.21256/zhaw-7729.

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