Field Demonstrations of Spctor: Sensing Policy Controller and Optimizer. - Ruzbeh Akbar; Sam Prager; Agnelo R. Silva; Kazem Bakian-Dogaheh; Archana Kannan; Erik Hodges; Asem Melebari; Dara Entekhabi; Mahta Moghaddam (IGARSS, 2022)

Forecasting Soil Moisture Using a Deep Learning Model Integrated with Passive Microwave Retrieval. - Archana Kannan; Grigorios Tsagkatakis; Ruzbeh Akbar; Daniel Selva; Vinay Ravindra; Richard Levinson; Sreeja Nag; Mahta Moghaddam (IGARSS, 2022)

A New Approach for Downscaling Soil Moisture by Merging Conditional Adversarial Networks and Physics-Based Passive Microwave Retrieval. - Archana Kannan; Grigorios Tsagkatakis; Mahta Moghaddam (IGARSS, 2023)

Mapping Wildfire Burned Area Using GNSS-Reflectometry in Densely Vegetated Regions with Complex Topography: A Machine Learning Approach. - Archana Kannan; Amer Melebari; Grigorios Tsagkatakis; Kurtis Nelson; Vinay Ravindra; Sreeja Nag; Mahta Moghaddam (IGARSS, 2024)

Physics-Constrained Deep Learning Models for Microwave Retrieval of High-Resolution Soil Moisture. - Archana Kannan; Grigorios Tsagkatakis; Mahta Moghaddam (IGARSS, 2024)

Distributed Spacecraft with Heuristic Intelligence to Monitor Wildfire Spread for Responsive Control. - Sreeja Nag; Vinay Ravindra; Richard Levinson; Mahta Moghaddam; Kurtis Nelson; Jan Mandel; Adam K. Kochanski; Angel Farguell Caus; Amer Melebari; Archana Kannan; Ryan Ketzner (IGARSS, 2024)

Optimal Planning and Machine Learning for Responsive Tracking and Enhanced Forecasting of Wildfires using a Spacecraft Constellation. - Sreeja Roy-Singh; Vinay Ravindra; Richard Levinson; Mahta Moghaddam; Jan Mandel; Adam K. Kochanski; Angel Farguell Caus; Kurtis Nelson; Samira Alkaee Taleghan; Archana Kannan; Amer Melebari (CoRR, 2025)