Integration of Engineering and Earth Systems Science: the Role of AI and High-Performance Computing

Date/Time
Date(s) - 04/15/2024
10:30 AM - 11:30 AM

Location
365C Weil Hall - ESSIE Conference Room

Categories


Speaker: Joshua Fu, PH.D., BCEEM, F. AAAS, F. A&WMA

Chancellor’s Professor

University of Tennessee-Knoxville

Integration of Engineering and Earth Systems Science: the Role of AI and High-Performance Computing

With the increasing impacts between human activities and the environment, it is essential to utilize various disciplines’ knowledge to better connect the Earth system science and engineering to investigate the complex Earth system. However, obvious gaps exist in the convergence of science and engineering. It is urgent to increasingly integrate both Engineering and Earth Systems Science and break the barriers in between, to address the world’s challenges, including weather and climate disasters, air pollution, water quality and availability, agriculture and food safety, human health, and their integrated measurement.

Consistent with the presentation theme of Engineering and Science Without Walls, the presentation will focus on but not be limited to, improving the communication between models to represent complex and dynamic hydrological, biological, and geochemical processes and their interactions and measurements in the US, the other countries, and regions; applying engineering techniques such as airborne radar sounding, ground-based radar tomography and sensing, satellites, and polarimetry to investigate the Earth systems; developing data-driven models and smart sensing systems with physics-constrained Artificial Intelligence and Machine Learning (AI/ML) with Earth Systems; downscaling the exposure from global to street/building scale with multiple-data sources (e.g. satellite data, land-use data) and techniques (e.g., Earth system models, measurement-model fusion) to reduce the uncertainties; engineering cyber-physical system with Earth systems science teleconnection.