Dr. Thoralf Mildenberger
Dr. Thoralf Mildenberger
ZHAW
School of Engineering
IDS Institute for Data Science
Technikumstrasse 81
8400 Winterthur
Projects
- Better quality of life with Live4all: Intelligent wheelchair cushion to prevent pressure-related tissue damage / Team member / ongoing
- ZHAW Commuting 2024 / Team member / ongoing
- AI-powered Detection of Parking Damages Based on Acceleration Sensor Data / Deputy project leader / completed
- Sustainable commuting at ZHAW / Team member / completed
- Flexible Learning Research / Team member / completed
- Detailed meal forecast for the restaurant industry / Team member / completed
- Self-Regulated Corrective Actions on GFRP Production Process / Project leader / completed
- Prediction of Turnover in Gastronomy / Team member / completed
- Accurate Customer Identification on Digital Channels / Team member / completed
- Energy discourses in Switzerland / Team member / completed
- Real-time price anomaly detection for market data quality monitoring / Team member / completed
- cleverpendeln / Team member / completed
- Roche Business Analytics / Team member / completed
- A model based three-stage classifier for airborne particles / Team member / completed
- Smart City Winterthur: Analysis of Electricity Consumption / Team member / completed
- Predicting customer behavior by combining freetext information with structured customer data / Team member / completed
Publications
Articles in scientific journal, peer-reviewed
- Müller Werder, C., Mildenberger, T. and Steingruber, D. (2023) 'Learning effectiveness of a flexible learning study programme in a blended learning design : why are some courses more effective than others?', International Journal of Educational Technology in Higher Education, 20(10). doi: 10.1186/s41239-022-00379-x.
- 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.
- Müller Werder, C. and Mildenberger, T. (2021) 'Facilitating flexible learning by replacing classroom time with an online learning environment : a systematic review of blended learning in higher education', Educational Research Review, 34(100394). doi: 10.1016/j.edurev.2021.100394.
- Ackermann, K. A. et al. (2021) 'Willingness to share data : contextual determinants of consumers" decisions to share private data with companies', Journal of Consumer Behaviour, 21(2), pp. 375–386. doi: 10.1002/cb.2012.
- Müller Werder, C., Mildenberger, T. and Lübcke, M. (2020) 'Do we always need a difference? : testing equivalence in a blended learning setting', International Journal of Research & Method in Education, 43(3), pp. 283–295. doi: 10.1080/1743727X.2019.1680621.
- Meier, M. F. et al. (2018) 'A model based two-stage classifier for airborne particles analyzed with computer controlled scanning electron microscopy', Journal of Aerosol Science. Edited by P. Biswas, M. Choi, and A. Weber, 123, pp. 1–16. doi: 10.1016/j.jaerosci.2018.05.012.
- Carabias-Hütter, V. et al. (2016) 'Die Energienachfrage steuern : Handlungsempfehlungen zur Nutzung von Smart-Meter-Daten', Gaia, 25(3), pp. 217–219. doi: 10.14512/gaia.25.3.20.
Other publications
- Müller Werder, C., Mildenberger, T. and Steingruber, D. (2023) 'Blended learning quality as crucial factor for an effective flexible learning study program', in EARLI Conference 2023 'Education as a Hope in Uncertain Times', Aristotle University of Thessaloniki and University of Macedonia, Greece, 20-26 August 2023.
- Mildenberger, T. (2023) Assessing keyness using permutation tests. arXiv. doi: 10.48550/arXiv.2308.13383.
- Mildenberger, T. (2017) 'Assessing keyness using permutation tests', in Statistical standards for scientific discovery in linguistics, Zurich, 4–6 October 2017.
- Mildenberger, T. (2013) 'Simon Rogers and Mark Girolami: A first course in machine learning', Statistical Papers, 56(1), p. 271. doi: 10.1007/s00362-013-0577-z.