Muhammad Adil 🎓
Muhammad Adil
(He/Him)

Graduate Research Assistant

About Me

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.

Interests
  • Geospatial AI
  • Remote Sensing
  • Spatio-Temporal Modeling
  • Generative AI
  • Change Detection
Education
  • PhD Computer Science

    University of Vermont

  • MS Computer Science

    Nanjing University of Science and Technology

  • BS Telecommunication Systems

    Department of Communication and Cyber Security

Recent News

Oct 1, 2025

🛰️ We submitted our article "Synthetic Geospatial Scene Rendering From Satellite Imagery and Weather Data" in the International Society for Photogrammetry and Remote Sensing (ISPRS) – Stay Tuned! 😊

Sep 30, 2025

🚀 Our Sentinel-2 Data downloading API – GeoS2Py is in the final stages – Get ready to download large-scale datasets with real-time data processing capabilities – One of its Kind :-)

Sep 8, 2025

🎉 I made my own website

Aug 27, 2025

🛰️ We submitted our article "From Remote Sensing to Multiple Time Horizons Forecasts: Transformers Model for CyanoHAB Intensity in Lake Champlain" in the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing – Stay Tuned! 😊

Recent Publications

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.