remote sensing

Remote Sensing and Agroinformatics Insights in Saudi Arabia Using Machine Learning

Ting Li, Postdoctoral Research Fellow, Environmental Science and Engineering

Mar 5, 12:00 - 13:00

B9 L2 R2325

remote sensing machine learning sustainable agricultural agricultural productivity

This talk explores how machine learning and high-resolution satellite remote sensing are being used to transform vast amounts of raw data into actionable agroinformatics at a national scale, providing the precision needed to manage these vital resources sustainably.

Ting Li

Postdoctoral Research Fellow, Environmental Science and Engineering

remote sensing machine learning precision agriculture agriculture environmental modeling crop health agricultural productivity sustainable agricultural

Ting Li is a Postdoctoral Research Fellow focusing her research on bridging the gap between complex data and real-world agricultural impact.

Gleb Ludnikov

Ph.D. Student, Electrical and Computer Engineering

Free-space optical communications remote sensing optical imaging Terahertz communications

To strive and explore, to uncover and never give in.

Bang Huang

Postdoctoral Research Fellow, Electrical and Computer Engineering

FDA-MIMO Radar Talget Detection ISAC haps remote sensing

Bang Huang works as a postdoctoral fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Bang Huang received the M.S. degree (with honors) in electrical engineering and Ph.D degree in information and communication engineering from the School of Information and Communication Engineering (SICE), University of Electronic Science and Technology of China (UESTC), Chengdu, China, in