Scholar
Mohammad Hashemi
Google Scholar ID: LRpJtSQAAAAJ
Emory University
Citations & Impact
Citations
159
H-index
5
i10-index
4
Publications
10
Co-authors
6
list available
Publications
Resume (English only)
Academic Achievements
- Presented recent work on Geospatial Foundation Models at the UMFM Workshop; released a preprint about Geospatial Foundation Models on arXiv; vision paper on Spatio-temporal Foundation Models accepted by SIGSPATIAL 25'; successfully passed qualification exam becoming a PhD candidate; released a preprint about Efficient Graph Condensation on arXiv; survey on Graph Reduction accepted by IJCAI 24'.
Research Experience
- Currently working on designing novel spatio-temporal foundation models for understanding human mobility using geolocation data at the Spatial Computing Lab, Emory University. Previously, worked on a rotation project with Prof. Li Xiong developing privacy-preserving predictive models for multi-modal temporal EHR data, and under the supervision of Dr. Wei Jin on scalable and explainable graph condensation methods for Graph Neural Networks.
Education
- Ph.D. in Computer Science, Emory University, (2023 - Present); B.Sc. in Computer Engineering, Shahid Beheshti University, (2018 - 2023). Advisors: Prof. Andreas Zufle (PhD), Prof. Li Xiong (rotation project), Dr. Wei Jin (Graph Neural Networks).
Background
- Research interests include Machine Learning with applications in Spatial Computing, Graph Data Mining, and Computer Vision. Aiming to gain a principled understanding of these methods by exploring their mathematical foundations and real-world implications, translating theoretical insight into practical solutions for real-world challenges.
Miscellany
- Actively seeking research internship opportunities for Summer/Spring 2026, particularly interested in contributing to cutting-edge problems in ML.
