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
| 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 | |
| Tim Dittmann | University of Colorado | Supervised Machine Learning of High Rate GNSS Velocities for Earthquake Strong Motion Signals |
| Christopher Flood | University of Colorado | |
| 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 |