9th ACM SIGSPATIAL Student Research Competition
| Tuesday, October 29 Room: Conference 7 |
|
| 01:00 PM - 02:00 PM | Session 1 - Finalists (1-4) |
| 02:00 PM - 02:30 PM | Break |
| 02:30 PM - 03:30 PM | Session 2 - Finalists (5-8) |
| 03:30 PM - 05:00 PM | Poster Session |
Session 1: Finalists (1-4)
- ChatGPT for Intelligent Spatial Analysis Workflow (Undergraduate) Ying Nie* (Geospatial Data Science Lab, University of Wisconsin), Song Gao (Geospatial Data Science Lab, University of Wisconsin)
- Enhancing Trust in Localization Systems: An XAI Approach (Undergraduate) Muhammad ElMahdy* (The American University in Cairo, Egypt), Mubarak Abu Auge (Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI)), Hamada Rizk (Osaka University), Moustafa Youssef (AUC The American University in Cairo, Egypt)
- Towards Scalable and Expressive Spatial Grouping Queries (Graduate) Yongyi Liu* (University of California, Riverside)
- Enhanced Road Damage Detection with Federated LearningAcross Diverse and Heterogeneous Global Datasets (Graduate) Shubham Kumar Dwivedi* (Department of Civil Engineering, The University of Tokyo), Deeksha Arya (Centre for Spatial Information Science, The University of Tokyo), Yoshihide Sekimoto (Centre for Spatial Information Science, The University of Tokyo)
Session 2: Finalists (5-8)
- SimDeep: An Efficient Federated Learning IndoorLocalization System with Similarity Aggregation Strategy (Undergraduate) 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)
- LocaLingua: Leveraging Language Models for Cross-Building WiFi Mapping (Undergraduate) Ahmed Hesham* (Alexandria University), Eman Samir (Alexandria University), Hamada Rizk (Osaka University) Moustafa Youssef (The American University in Cairo)
- Automating Geospatial Analysis Workflows Using ChatGPT-4 (Graduate) Qianheng Zhang* (University of Wisconsin - Madison), Song Gao (University of Wisconsin - Madison)
- HydroNet: A Spatio-temporal Graph Neural Network for Modeling Hydraulic Dependencies in Urban Water Systems (Graduate) Qiming Guo* (Texas A&M University-Corpus Christi), Wenlu Wang (Texas A&M University-Corpus Christi)
