- Optimizing Ambulance Dispatching and Redeployment: A Structured Learning Approach. (Vortrag / OR 2024 Conference, Munich) 2024 mehr…
- Ambulance Demand Prediction via Convolutional Neural Networks. 2023, mehr…
- Emergency Call Prediction via Convolutional Neural Networks. (Vortrag / EURO 2022, Finland) 2022 mehr…
Maximiliane Rautenstrauß
Contact
Arcisstraße 21, 80333 Munich, Germany
Building 505, Room 1546
Short Biography
Maximiliane is a Ph.D. student at the Professorship of Business Analytics & Intelligent Systems at the TUM School of Management and works as a Research Engineer at Smartlane GmbH. After obtaining her bachelor’s degree in International Logistics Management from the University of Applied Sciences Upper Austria, she completed her master’s degree in Management and Technology at TUM. Her research focus lies on the application of machine learning algorithms in emergency service systems to predict emergency calls and optimize dispatching and location decisions.
In her free time, Maximiliane enjoys reading, traveling, hiking, and spending time with her dog.
Research Interests
- Machine Learning
- Spatio-Temporal Forecasting
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Optimization of Emergency Service Operations