Session B3: AI and Machine Learning for GNSS Signal Processing, Error Modeling, and Threat Detection

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Date: Thursday, September 17, 2026
Time: 8:30 a.m. - 12:15 p.m.
Location: Windsong 7-8
In-Person presenters in this session provide pre-recorded presentations for viewing by registered attendees on Wednesday, September 16.

In-Person Presentations These presentations will be given in-person at the conference. Presenters will provide a pre-recorded presentation for on-demand viewing by all registered attendees.
8:35	Closing the Loop: AI-Driven GNSS Interference Detection and Mitigation in Real Time A. Chamorro, J. Riesco, E. Carbonell, M.P. Bejarano, M.A. Ramirez, A. Gonzalez, GMV
8:57	Analyzing and Characterizing Multi-Source Interference Effects at Jammertest Norway 2025 Lucas Heublein, Inigo Cortes Vidal, Tobias Feigl, Alexander Rügamer, Felix Ott, Fraunhofer Institute for Integrated Circuits IIS
9:20	A Supervised Architecture for GPS Interference Classification and Agile PNT Situational Awareness Noah Lewis, National Research Council Post-Doctoral Fellowship Program, Air Force Research Laboratory, Space Vehicles Directorate; Erik Rennspiess, Air Force Research Laboratory, Space Vehicles Directorate; Anisa Patel, Georgia Institute of Technology; Brooke Howell, Scott Minas, Khanh Pham, Air Force Research Laboratory, Space Vehicles Directorate
9:43	ML Based Robust Reconstruction of GNSS Vehicle Trajectories Under Adverse or Denied Conditions Xurxo Otero, Luciano Musumeci, Enik Shytermeja, European Space Agency; Michal Pfleger, HULD
10:05-10:35, Break. Refreshments in Exhibit Hall
10:40	Artificial Intelligence for GNSS Interference Monitoring: Detection and Characterization Antonia N. Ivan, Stefan S. Mihai, Alexandru C. Pandele, Ileana Mihu, Romanian InSpace Engineering; Julia Hauser, Roman Lesjak, JOANNEUM RESEARCH; Florin Stoican, Three Tensors
11:03	Dense Autoencoder-Based Anomaly Detection for GNSS CORS Measurement Quality Monitoring Rene Manzano, Elena Tai, National Autonomous University of Mexico; Kyle O'Keefe, University of Calgary
11:26	Using Machine Learning for Enhanced Global Ionosphere Mapping in Trimble’s RTX Correction Service Ulrich Weinbach, Markus Brandl, Andreas Goss, Xiao Liu, and Moritz Rexer, Trimble Inc.
11:48	Time–Frequency-Based Classification and Mitigation of GNSS NLOS and Multipath Errors Using Neural Networks Hyewon Jo, Min-Ji Kim, O-Jong Kim, Department of Aerospace Systems Engineering, Sejong University
Alternate Presentation Alternate presentations may be given in-person at the conference if other authors are unable to present. Alternate Presenters will provide a pre-recorded presentation for on-demand viewing by all registered attendees.
1.	Robust AI-Based Smartphone Positioning via Physics-Informed Feature Selection Jingzhou Liu, Yang Gao, Department of Geomatics Engineering, University of Calgary

On-Demand Presentations Pre-recorded presentations will become available for viewing by registered attendees on Wednesday, September 16.
	Deep Learning Frameworks for Ionosphere Modeling: Comparison under Multiple Datasets Yifei Chen, Chengcheng Song, Yang Liu, School of Instrumentation and Opto-Electronic Engineering, Beihang University; Marconi Lab, Science Technology and Innovation Section, Abdus Salam International Centre for Theoretical Physics
	MSVIB-Net: A Physically-Informed Lightweight AI Framework for Real-Time GNSS Spoofing Detection Jing Ji, VCSCIT, Wuhan Xingtu Xinke Electronics Co., Ltd./ School of Information Engineering, Wuhan University of Technology; Quanguo Ye, Wei Chen, School of Automation, Wuhan University of Technology; Changzhen Li, School of Information Engineering, Wuhan University of Technology; Luyao Du, School of Automation, Wuhan University of Technology; Zhonghui Pei, School of Computer Science and Engineering, Wuhan Institute of Technology; Hongyang Lu, China Transport Telecommunications & Information Center (CTTIC) / School of Information Engineering, Wuhan University of Technology; Jiantong Zhang, China Transport Telecommunications & Information Center (CTTIC)

12:15 p.m. - 1:15 p.m., Buffet Lunch in Exhibit Hall • 1:15 p.m. - 1:45 p.m., Free Time in Exhibit Hall

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