I'm an AeroAstro PhD student in the NAVLAB, Stanford advised by Dr. Grace Gao. I use AI, sensor fusion, and theoretical frameworks to provide safe and reliable navigation for autonomous systems in extremely challenging environments and extreme dynamics.

I finished defending my dissertation in June 2023 and am currently looking for new opportunities. I graduated from Stanford with an MS in Aerospace Engineering in 2021 and from Georgia Tech with a BS in Aerospace Engineering in 2018.

Contact me at madyasha@stanford.edu

Research

Google Scholar

Selected Publications

Adyasha Mohanty and Grace Gao, Graph Neural Network Enhanced GNSS Tightly Coupled with Neural Radiance Field Maps for UAV Navigation, ION GNSS+ 2024, Accepted.
Adyasha Mohanty and Grace Gao, Fusing GNN-Enhanced GNSS with Neural Radiance Fields for Urban Drone Navigation, ION International Technical Meeting (ION ITM 2024), [paper] [slides] [video]
Adyasha Mohanty and Grace Gao, A Survey of Machine Learning Techniques for Improving Global Navigation Satellite Systems, EURASIP Journal on Advances in Signal Processing, In Revision. [paper]
Adyasha Mohanty and Grace Gao, Tightly Coupled Graph Neural Network and Kalman Filter for Improving Smartphone GNSS Positioning, Proceedings of the Institute of Navigation GNSS+ conference (ION GNSS+ 2023), Denver, CO, Sep 2023, Best Presentation of the Session Award. [paper] [slides] [video]
Adyasha Mohanty, and Grace Gao, Learning GNSS Positioning Corrections for Smartphones using Graph Convolutional Neural Networks, Navigation: Journal of the Institute of Navigation, 2023. [paper]
Adyasha Mohanty, Asta Wu, Sriramya Bhamidipati and Grace Gao, Precise Relative Positoning via Tight Coupling of GPS Carrier Phase and Multiple UWBs, IEEE Robotics and Automation Letters.vol. Apr. 2022. [paper]
Adyasha Mohanty, Shubh Gupta and Grace Gao, A Particle Filtering Framework for Integrity Risk of GNSS-Camera Sensor Fusion, Navigation: Journal of the Institute of Navigation. Dec. 2021 [paper]
Adyasha Mohanty, Remy Zawislak, Sriramya Bhamidipati, and Grace Gao, Precise Relative Positioning for Tandem Drifting Cars, Proceedings of the Institute of Navigation GNSS+ conference (ION GNSS+ 2021), St. Louis, MO, Sep 2021. . [paper] [slides] [video]
Adyasha Mohanty and Grace Gao, A Particle Filtering Framework for Tight GNSS-Camera Fusion using Convolutional Neural Networks, Proceedings of the Institute of Navigation GNSS+ conference (ION GNSS+ 2021), St. Louis, MO, Sep 2021. [paper][slides] [video]
Shubh Gupta, Adyasha Mohanty, and Grace Gao, Urban Localization using Robust Filtering at Multiple Linearization Points, EURASIP Journal on Advances in Signal Processing, Oct 2023. [paper]
Shubh Gupta, Adyasha Mohanty and Grace Gao, Getting The Best of Particle and Kalman Filters: GNSS Sensor Fusion using Rao-Blackwellized Particle Filter, Proceedings of the Institute of Navigation GNSS+ conference (ION GNSS+ 2022), Denver, CO, Sep 2022. [paper] [slides] [video]