Education
- Ph.D., Electrical Engineering, University of Southern California (USA), 2021 – Present
- M.S., Electrical Engineering, University of Southern California (USA), 2018-2020
- B.E., Electronics and Instrumentation, Madras Institute of Technology (India), 2014-2018
Biography
Archana Kannan is a Ph.D. student in the Ming Hsieh Department of Electrical Engineering at the University of Southern California (USC). She received her Bachelor’s degree in Electrical Engineering from the Madras Institute of Technology, India, in 2018. She got her Master’s degree in Electrical Engineering from USC in 2020. She is currently a Graduate Research Assistant at MiXIL under the guidance of Prof. Moghaddam, working towards her Ph.D. Her research interests include physics-guided machine learning for active/passive microwave remote sensing for enhancing Earth observations. Applications range from high-resolution soil moisture retrieval to wildfire-burned areas mapping.
Publications
2025
Conference
- A Kannan, A Melebari, G Tsagkatakis, A Farguell, K Nelson, A Kochanski, V Ravindra, S Nag, C Ruf, M Moghaddam, “Enhanced Mapping of Wildfire-Burned Areas using GNSS-Reflectometry Raw Intermediate Frequency Data,” IGARSS 2025-2025 IEEE International Geoscience and Remote Sensing Symposium …, 2025 [link]
- JD Campbell, A Kannan, M Moghaddam, CS Ruf, “Integration of GNSS-R Delay-Doppler Maps into a Land Data Assimilation System,” 2025 International Conference on Electromagnetics in Advanced Applications …, 2025 [link]
Journal
- G Tsagkatakis, A Melebari, JD Campbell, A Kannan, P Shokri, E Hodges, M Moghaddam, P Tsakalides, “Fusion of Forecasting and Retrieval for Uncertainty Aware Soil Moisture estimation,” IGARSS 2025-2025 IEEE International Geoscience and Remote Sensing Symposium …, 2025 [link]
- J M, el, SA Taleghan, A Farguell, A Kannan, A Kochanski, J Haley, C Da, F Banaei-Kashani, B Tumi, S Roy-Singh, KA Hilburn, M Moghaddam, V Ravindra, “Machine Learning-Based Data Assimilation of Satellite Data in the Coupled Atmosphere-Fire Model WRF-SFIRE,” 2025 AMS Denver Summit, 2025 [link]
Other Publications
- S Roy-Singh, V Ravindra, R Levinson, M Moghaddam, J M, el, A Kochanski, AF Caus, K Nelson, SA Taleghan, A Kannan, A Melebari, “Optimal planning and machine learning for responsive tracking and enhanced forecasting of wildfires using a spacecraft constellation,” IFIP International Workshop on Artificial Intelligence for Knowledge …, 2025 [link]
2023
Journal
- A Kannan, G Tsagkatakis, M Moghaddam, “Fusion of Passive and Active Microwave Remote Sensing Data for Retrieval of High-resolution Soil Moisture Using Physics-Induced Deep Learning Models,” AGU Fall Meeting Abstracts 2023 (6), H23AA-06, 2023 [link]
- A Kannan, A Melebari, G Tsagkatakis, K Nelson, V Ravindra, S Nag, M Moghaddam, “Mapping Wildfire Burned Area using GNSS Reflectometry with Machine Learning,” AGU Fall Meeting Abstracts 2023 (781), GC51M-0781, 2023 [link]
2022
Conference
- R Akbar, S Prager, A Silva, K Bakian-Dogaheh, A Kannan, E Hodges, A Melebari, D Entekhabi, M Moghaddam, “Field Demonstrations of Spctor: Sensing Policy Controller and Optimizer,” IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 [link]
2021
Journal
- R Akbar, A Silva, S Prager, KB Dogaheh, A Kannan, A Melebari, E Hodges, D Entekhabi, M Moghaddam, “Integration of in situ Wireless Sensor Networks and UAVs for Soil Moisture Mapping,” AGU Fall Meeting Abstracts 2021, IN11A-06, 2021 [link]
- A Kannan, G Tsagkatakis, R Akbar, D Selva, V Ravindra, R Levinson, S Nag, M Moghaddam, “Forecasting global geophysical states using a deep learning model for Spacecraft constellation scheduling and planning,” AGU Fall Meeting Abstracts 2021, H55C-0773, 2021 [link]
2019
Other Publications
- R Akbar, A Silva, RH Chen, N Golestani, KB Dogaheh, A Kannan, D Kahn, M Moghaddam, D Entekhabi, “Recent Progress and Development in Energy Efficient and Smart in situ Wireless Sensor Networks: SoilSCAPE,” AGU Fall Meeting Abstracts 2019, IN23C-20, 2019 [link]
