Hao Tian Participates in ISSDS 2026 and IGARSS 2026

Ph.D. student Hao Tian recently participated in two back-to-back international conferences, the International Symposium on Spatiotemporal Data Science (ISSDS 2026) and the 2026 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2026), sharing the lab’s recent work on Distributed Acoustic Sensing (DAS) and deep learning for urban traffic monitoring and analysis.

At ISSDS 2026, Hao gave an oral presentation titled “Leveraging Deep Learning and Distributed Acoustic Sensing for Real-Time Traffic Monitoring.” The symposium provided a valuable opportunity to exchange ideas with researchers working across spatiotemporal data science, urban sensing, GeoAI, and human-centered applications.

Hao Tian presenting at ISSDS 2026.

Following ISSDS, Hao attended IGARSS 2026, where he presented “Sensing and Inferring Urban Traffic Dynamics from Distributed Acoustic Sensing Using Deep Learning” and engaged with the broader remote sensing and geoscience community.

Hao Tian presenting at IGARSS 2026.

These back-to-back conferences offered valuable opportunities to connect with researchers from diverse backgrounds and exchange perspectives across geography, remote sensing, geoscience, AI, and urban sensing.