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., & 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). https://doi.org/10.1186/s41239-022-00379-x
- Mildenberger, T., Braschler, M., Ruckstuhl, A., Vorburger, R., & Stockinger, K. (2023). The role of data scientists in modern enterprises : experience from data science education. SIGMOD Record, 52(2), 48–52. https://doi.org/10.21256/zhaw-27357
- Müller Werder, C., & 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). https://doi.org/10.1016/j.edurev.2021.100394
- Ackermann, K. A., Burkhalter, L., Mildenberger, T., Frey, M., & Bearth, A. (2021). Willingness to share data : contextual determinants of consumers’ decisions to share private data with companies. Journal of Consumer Behaviour, 21(2), 375–386. https://doi.org/10.1002/cb.2012
- Müller Werder, C., Mildenberger, T., & 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), 283–295. https://doi.org/10.1080/1743727X.2019.1680621
- Meier, M. F., Mildenberger, T., Locher, R., Rausch, J., Zünd, T., Neururer, C., Ruckstuhl, A., & Grobéty, B. (2018). A model based two-stage classifier for airborne particles analyzed with computer controlled scanning electron microscopy. Journal of Aerosol Science, 123, 1–16. https://doi.org/10.1016/j.jaerosci.2018.05.012
- Carabias-Hütter, V., Eschenauer, U., Kuehn, T., Lobsiger-Kägi, E., & Mildenberger, T. (2016). Die Energienachfrage steuern : Handlungsempfehlungen zur Nutzung von Smart-Meter-Daten. Gaia, 25(3), 217–219. https://doi.org/10.14512/gaia.25.3.20
Other publications
- Müller Werder, C., Mildenberger, T., & Steingruber, D. (2023). Blended learning quality as crucial factor for an effective flexible learning study program. 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. https://doi.org/10.48550/arXiv.2308.13383
- Mildenberger, T. (2017, October 6). Assessing keyness using permutation tests. 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), 271. https://doi.org/10.1007/s00362-013-0577-z