We are thrilled to announce that the team led by Associate Professor Hamada Rizk from our lab has achieved an outstanding first-place victory and Golden Medal at the prestigious international ACM SIGSPATIAL Student Research Competition held in Atlanta, Georgia, USA, from October 29th to November 1st, 2024. This remarkable achievement was secured after three rigorous rounds of competition, showcasing the team’s dedication, innovation, and expertise.
The award-winning system, SimDeep, is an advanced Federated Learning-based indoor localization system that employs a unique Similarity Aggregation Strategy. The team presented their work in a research paper titled, "SimDeep: An Efficient Federated Learning Indoor Localization System with Similarity Aggregation Strategy," which impressed the judges and audience alike with its novel approach to enhancing localization accuracy in complex indoor environments. This win underscores our lab’s commitment to pushing the boundaries of spatial computing and AI research, and we are excited to see more groundbreaking contributions in the future.
- SimDeep: An Efficient Federated Learning IndoorLocalization System with Similarity Aggregation Strategy
- Ahmed Jaheen* (The American University in Cairo), Sarah Elsamanody (The American University in Cairo), Hamada Rizk (Osaka University), Moustafa Youssef (The American University in Cairo)
.jpg)
.jpg?fm=webp&w=300&q=30 "Participation at the 130th OGC Meeting")
