Building Safety Analysis with AI

/in , /by

Grant received:

  1. Geospatial Imagery Analytics Research. Phase I. Sponsored research by the Cincinnati Insurance Companies. PI. Tang. Co-PI: Jiaqi Ma. $59,000. Period: 02.2020- 12.2021. Completed.
  2. Geospatial Imagery Analytics Research. Phase II. Sponsored research by the Cincinnati Insurance Companies. P.I. Tang. $79,980. Period: 10.2021- 08.2022. Grant: G402236. 2021. Ongoing.
  3. Geospatial Imagery Analytics Research. Phase III. Sponsored research by the Cincinnati Insurance Companies. PI. Tang. $15,709. Period: 6.2022- 06.2023.
  4. Geospatial Imagery Analytics Research. Phase-4. Sponsored research by the Cincinnati Insurance Companies. PI. Tang. $48,646. Period: 1.2023- 10.2023.
  5. Geospatial Imagery Analytics Research. Phase-5. Sponsored research by the Cincinnati Insurance Companies. PI. Tang. $72,350. Period: 10.2023- 11.2024.
  6. Geospatial Imagery Analytics Research. Phase-6. Sponsored research by the Cincinnati Insurance Companies. PI. Tang. $125,665. Period: 9.01.2024- 12.30.2025.

The goal is to use AI, Machine Learning, Deep Learning algorithm to understand the correlations between building safety to its typology and context. Please contact Professor Ming Tang if you are a UC student and interested in participating in the project.

Related projects:  UC UPRISE:  Reinforcement Learning (RL) system in Game Engine