I am a third-year PhD student in Computer Science at the University of Vermont, advised by Prof. Safwan W. Shah. My research centers on Geospatial AI, Remote Sensing, and Time-Series Forecasting for environmental monitoring, with a particular focus on water quality assessment.
Currently, we are developing a pixel-level forecasting system for Cyanobacterial Harmful Algal Blooms in Lake Champlain. This work aims to develop a remote-sensing-only framework that is scalable for lakes worldwide, leveraging publicly available satellite data.
I am always eager to explore new opportunities for collaboration. If my research aligns with your interests or if you would like to discuss potential partnerships, please feel free to reach out.
PhD Computer Science
University of Vermont
MS Computer Science
Nanjing University of Science and Technology
BS Telecommunication Systems
Department of Communication and Cyber Security
Muhammad Adil, Patrick J. Clemins, Andrew W. Schroth, Panagiotis D. Oikonomou, Donna M. Rizzo, Peter D. F. Isles, Xiaohan Zhang, Kareem I. Hannoun, Scott Turnbull, Noah B. Beckage, Asim Zia, Safwan Wshah (2026). From Remote Sensing to Multiple Time-Horizons Forecasts: Transformers Model for CyanoHAB Intensity in Lake Champlain. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 19, 6728-6750.
Asim Zia, Patrick J. Clemins, Muhammad Adil, Andrew Schroth, Donna Rizzo, Panagiotis D. Oikonomou, Safwan Wshah (2026). Machine-Learned Emulators for Teleconnection Discovery and Uncertainty Quantification in Coupled Human-Natural Systems. Water, 18(1), 79.