معرفی
Dr. Nina Wiedemann is a Lecturer at the Department of Civil, Environmental and Geomatic Engineering at ETH Zürich. Her work focuses on geospatial data science, sustainable urban development, and mobility analysis. She specializes in integrating AI and machine learning techniques with geoinformatics to address challenges in transportation systems, energy infrastructure, and environmental policy. Key contributions include frameworks for spatiotemporal prediction, bike network optimization, and V2G (Vehicle-to-Grid) simulation studies. Her research emphasizes practical applications such as urban planning, traffic forecasting, and open-source tools like Trackintel for mobility analysis.
Her academic output spans over a decade, with notable works in 2025 exploring AI sustainability in geospatial contexts, 2024 studies on train delay prediction and car-sharing economics, and 2023 contributions to benchmarking spatial regression models. She has collaborated on projects like Traffic4cast and NeurIPS initiatives, demonstrating expertise in both theoretical and applied geospatial analytics.
No scientific awards or grants are explicitly listed, but her extensive publication record reflects active research engagement. Advising and student mentorship details are not provided in available texts. She contributes to interdisciplinary teams focused on environmental sustainability and smart city technologies.
