2022 PNT Symposium • Student Presentation Videos

The table below displays the student presentations from the 2022 PNT Symposium. The presentations are listed in alphabetical order of the presenter's last name.

While all of the student presentations were recorded, we have only received permission from some of the students to display their video presentation and/or a PDF file of their presentation slides.

For those presentations which we are permitted to display, click on the Play Video button preceding the presentation title to open an SCPNT Video Gallery page containing an unlisted (not searchable) YouTube video of that presentation.

Also, for those presentations for which we are permitted to display presentation slides, click on any presentation title in blue text to view/download the presentation PDF file.

2022 PNT Symposium — Day 1 Student Presentations

2022 PNT Symposium: October 12^th — Student Presentations

Student Speaker	Affilation	Title of Presentation (Bold blue text = link to PDF presentation file)
Somrita Banerjee	Stanford University	Adapting to Distribution Shifts in Satellite Pose Estimation
Wen-Chiao Chen	National Cheng Kung University	Developing a Star Tracker Algorithm for Small Satellites
Myles Clark	University of Florida	Space-to-space time-transfer (CSAC clock recovery) and precision ranging via laser links for the NASA/MIT/UF CLICK CubeSat mission
Tim Dittmann	University of Colorado	Supervised Machine Learning of High Rate GNSS Velocities for Earthquake Strong Motion Signals
Christopher Flood	University of Colorado	A Multi-Platform Clock Ensemble Testbed
Ben Gattis	University of Colorado	Building a Network/Data Management for Low Cost GNSS Monitors
Anderson Givhan	Auburn University	Comparison of CRPA Direction of Arrival methods on Post Correlated GNSS signals for Solution Authentication/Spoofing Detection
Thomas Gruber	Auburn University	Unique Challenges and Opportunities of Vehicle Navigation in Autonomous Racing
Matt McDermott	Tufts University	3D formulation of the Iterative Closest Ellipsoidal Transform (ICET)
Adyasha Mohanty	Stanford University	Learning GNSS Positioning Corrections for Smartphones using Graph Convolution Neural Networks
Daniel Neamati	Stanford University	Set-Based Ambiguity Reduction in Shadow Matching with Iterative GNSS Pseudoranges
Yunhan Qi	Tsinghua University	Unlocking the Ultra-high-precision Processing Mode of BDS-3 B1 Signals
Todd Walter, & Sherman Lo	Stanford University	Day 1 Welcome, Overview & Logistics