Hamada Rizk准教授が、ドイツ・ハンブルクのハーフェンシティ大学で開催された国際的な学術行事 “Dies Academicus 2025” 内の Climate Impulse において、招待基調講演者（Featured Thought Leader）として登壇いたしました。
Monitoring and GeoAI for Sustainable and Climate-Resilient Environmentsセッションにおいて「AI for Climate-Resilient Urban Systems: Mobility, Hazards, and Adaptive Intelligence」というタイトルで、「digital twins」「resilience-by-design」「sustainable cities」をキーワードに講演を行いました。
詳細はこちら(ドイツ語)
関連する業績はこちら
- Hamada Rizk, Yukako Nishimura, Hirozumi Yamaguchi, Teruo Higashino, "Drone-based Water Level Detection in Flood Disasters", International Journal of Environmental Research and Public Health, https://doi.org/10.3390/ijerph19010237
- Ren Ozeki, Haruki Yonekura, Hamada Rizk, and Hirozumi Yamaguchi, "Decentralized Landslide Disaster Prediction for Imbalanced and Distributed Data". Proceedings of the 22nd IEEE International Conference on Pervasive Computing and Communications (PerCom 2024), pp.151-158. https://doi.ieeecomputersociety.org/10.1109/PerCom59722.2024.10494417
- Ren Ozeki, Haruki Yonekura, Hamada Rizk, and Hirozumi Yamaguchi, "Privacy-Preserved Taxi Demand Prediction System Utilizing Distributed Data". In Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2024), https://doi.org/10.1145/3678717.3691234
- Ren Ozeki, Haruki Yonekura, Hamada Rizk, Hirozumi Yamaguchi, "Balancing Privacy and Utility of Spatio-Temporal Data for Taxi-Demand Prediction", The 24th IEEE International Conference on Mobile Data Management, IEEE MDM 2023, https://doi.org/10.1109/MDM58254.2023.00044
- Ren Ozeki, Haruki Yonekura, Aidana Baimbetova, Hamada Rizk, Hirozumi Yamaguchi, "One Model Fits All: Cross-Region Taxi-Demand Forecasting", The 31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2023), https://dl.acm.org/doi/10.1145/3589132.3625651
