研究室活動

JST AIP Challenge 2024

2024年10月にJST 2024年度AIPチャレンジにおいてHamadaRizk准教授が研究発表を行いました.

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In the era of Society 5.0, where technology harmonizes with human life to foster smarter, more sustainable societies, spatio-temporal data is essential in optimizing transportation, urban planning, and emergency management. However, leveraging this data responsibly requires rigorous privacy safeguards. Associate Professor Rizk's solution directly addresses this challenge with a privacy-preserving taxi-demand framework that aligns with Society 5.0 principles and supports Sustainable Development Goals (SDGs), particularly SDG 11: Sustainable Cities and Communities.
The proposed approach not only ensures compliance with global privacy standards, such as GDPR, but also demonstrates resilience against privacy attacks without compromising prediction accuracy. Real-world evaluations show that this system can provide reliable taxi-demand forecasts while safeguarding individual privacy, contributing to the development of smarter, safer, and more resilient urban environments.
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プログラムはこちら: https://www.jst.go.jp/kisoken/aip/program/wakate/challenge/list2024.html