NSF, Multi-Agent Adaptive Data Collection for Automated Post-Disaster Rapid Damage Assessment

Overall Information

PI on collaborative NSF award (09/2023–08/2027): multi-agent adaptive data collection for automated post-disaster rapid damage assessment. Total \$550K (my effort 30%). Team: Mostafa Reisi, Mohammad Illbeigi.

Hao Yan
Hao Yan
Associate Professor in School of Computing and Augmented Intelligence

My research develops machine learning methods for high-dimensional, spatio-temporal, and sequential data, including reinforcement learning, generative models, anomaly detection, and causal and tensor-based learning.