-
Yuan Fang
Yuan Fang received her Ph.D. degree from the VIP lab of the Department of systems design engineering, University of Waterloo, ON, Canada in 2022. Her research interests include remote sensing image processing, hyperspectral imaging, machine learning, and environmental monitoring. She received her B.Eng. and M.Sc. degrees in geomatics engineering from China University of Geosciences, Beijing, China, in 2016…
-
Saeid Taleghanidoozdoozan
Saeid is a PhD graduate in the Systems Design Engineering department. He holds an M.Sc. in remote sensing from K. N. Toosi University of Technology in Tehran, Iran, where he developed a passion for applying advanced machine learning techniques to remote sensing applications.
-
Peter Q. Lee
Peter is a former MASc student (2018-2020) who was supervised by Prof. David Clausi and Prof. Linlin Xu. His research focus was towards remote sensing images. In his thesis, he developed methods to improve the image quality of the Sentinel-1 synthetic aperture radar (SAR) images over ocean regions. He also worked towards solving the problem…
-
Yifan Wu
My research interests include optical remote sensing image processing, building extraction, and machine learning.
-
Mohsen Ghanbari
Ph.D. 2021
-
Muhammed Patel
Hi, I am Muhammed Patel I am a graduate student pursuing a Master of Applied Science in Systems Design Engineering at the University of Waterloo. Prior to this, I completed a dual degree program in Industrial Engineering and Industrial Engineering Management with a specialization in Optimization at the Indian Institute of Technology (IIT) Kharagpur. I…
-
Yuan Fang
Yuan Fang is currently a postdoctoral fellow at VIP lab of the Department of systems design engineering. Her research interests include remote sensing image processing, hyperspectral imaging, machine learning and environmental monitoring. She received the B.Eng. and M.Sc. degrees in geomatics engineering from China University of Geosciences, Beijing, China, in 2016 and 2018, respectively. She received her Ph.D. degree…
-
Javier Noa Turnes
Javier Noa Turnes is a PhD candidate in Systems Design Engineering, supervised by Prof. David A. Clausi and Prof Linlin Xu. His main research field is machine learning on remote sensing applications. He is currently dedicated to sea ice classification using Synthetic Aperture Radar imagery and passive microwave data, studying the inclusion of large contextual…
