Archana Kannan

• 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

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 current focus is developing a high spatiotemporal resolution global soil moisture forecast
model using antecedent data. Other interests include soil moisture retrievals using passive
microwave sensing resources, upscaling/downscaling methods for soil moisture, and designing
PCBs for Wireless Sensor Networks.

• Time series forecasting
• Machine learning
• Soil moisture

Research outcomes:
[1] Archana Kannan, Grigorios Tsagkatakis, Ruzbeh Akbar, Daniel Selva, Vinay Ravindra, Richard
Levinson, Sreeja Nag, Mahta Moghaddam (2022), “Forecasting Soil Moisture Using a Deep
Learning Model Integrated With Passive Microwave Retrieval”, IEEE International Geoscience
and Remote Sensing Symposium (IGARSS2022), accepted as multimedia presentation.
[2] Ruzbeh Akbar, Sam Prager, Agnelo Silva, Kazem Bakian-Dogaheh, Archana Kannan, Erik
Hodges, Asem Melebari, Dara Entekhabi, Mahta Moghaddam (2022), “Field Demonstrations Of
SPCTOR: Sensing Policy Controller And Optimizer”, IEEE International Geoscience and Remote
Sensing Symposium (IGARSS2022), accepted as oral presentation.
[3] Archana Kannan, Grigorios Tsagkatakis, Ruzbeh Akbar, Daniel Selva, Vinay Ravindra, Richard
Levinson, Sreeja Nag, Mahta Moghaddam (2021), “Forecasting global geophysical states using a
deep learning model for Spacecraft constellation scheduling and planning”, poster presentation
at AGU Fall meeting 2021.

[4] Ruzbeh Akbar, Agnelo Silva, Samuel Prager, Kazem Bakian Dogaheh, Archana Kannan, Asem
Melebari, Erik Hodges, Dara Entekhabi, Mahta Moghaddam (2021), “Integration of in situ
Wireless Sensor Networks and UAVs for Soil Moisture Mapping”, oral presentation at AGU Fall
meeting 2021.
[5] Archana Kannan, Agnimitra Dasgupta, Julia Woomer, Erik A. Johnson, Steven F. Wojtkiewicz
(2021), “Investigation of bounds on sample size for reliable model falsification”, oral
presentation at SIAM CSE21.
[6] Ruzbeh Akbar, Agnelo Silva, Richard Chen, Negar Golestani, Kazem Bakian Dogaheh,
Archana Kannan, Dana Kahn, Mahta Moghaddam, Dara Entekhabi (2019), “Recent Progress and
Development in Energy Efficient and Smart in situ Wireless Sensor Networks: SoilSCAPE”, poster
presentation at AGU Fall Meeting 2019.
[7] S. Ashwin Kumar, K. Archana, Simi Santosh, M. Chidambaram (2018), “Design of PID
controllers for Critically Damped SOPTD systems”, Indian Control Conference (ICC2018), IEEE.
DOI : 10.1109/INDIANCC.2018.8307965