Speaker: Dr. Zhe Jiang
Assistant Professor
Dept. of Computer and Information Science and Engineering
University of Florida
Thursday, September 30, 2021
2:50-3:50 PM (Period 8)
Turlington Hall 3018 and Zoom
Abstract: Artificial intelligence (AI) has achieved tremendous success in computer vision and natural language processing. With rapidly increasing spatiotemporal data collected from ground, airborne and space platforms, there is a growing anticipation of similar accomplishments of AI in Geo-domains (a.k.a. GeoAI). However, developing interdisciplinary AI for Geo-domains faces significant technical challenges, including spatial and temporal autocorrelation, non-stationarity, existence of domain physics and constraints, paucity of ground truth, etc. In this talk, I will introduce my recent GeoAI research to address the above challenges through terrain-aware spatial machine learning in the context of hydrological applications. I will also discuss future research directions.
Biography: Dr. Jiang is an assistant professor in CISE at the University of Florida. He received his Ph.D. in computer science from the University of Minnesota in 2016 and his B.E. from the University of Science and Technology of China (USTC) in 2010. He was an assistant professor in computer science at the University of Alabama from 2016 to 2021. His lab’s mission is to advance AI and machine learning foundations inspired by interdisciplinary applications (Earth sciences, smart cities, biomedicine, public health, precision agriculture, finance). His research results have been published in top AI and Data Science venues, including KDD, ICDM, AAAI, VLDB, ACMGIS, TKDE. Dr. Jiang received the NSF CISE CRII award in 2019 and Microsoft AI for Earth award in 2021. His research has been sponsored by multiple federal agencies (NSF, UCAR, USGS, NOAA, UCAR) and industry companies. (More details are on his homepage: www.jiangteam.org).
All are welcome to attend.
For more information, email Dr. Joann Mossa at mossa@ufl.edu