Listing

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1. Ahmed,S., Khanafseh, S., & Pervan, B. GNSS spoofing detection and exclusion by decomposition of the complex cross ambiguity function with INS aiding. InProceedings of ION GNSS+, Denver, CO. September 2023. Federal support acknowledged.
2. Joerger,M., Jada, S., Yan, C., Psiaki, M., & Bowman, J. Resilient PNT for safe transportation. AUVSI Symposium, Blacksburg, VA. October 2023. Federal supportacknowledged.
3. Hu,W., Uwineza, J.-B., & Farrell, J. A. Outlier accommodation for multi-GNSSprecise point positioning using risk-averse performance-specified approach.Accepted to American Control Conference (ACC), January 2024.
4. Nagai,K., Ahmed, S., & Pervan, B. Integrity with LiDAR incorrect extraction faults in adverse weather conditions. In Proceedings of the 2024 InternationalTechnical Meeting of the Institute of Navigation, Long Beach, CA. January 2024. Federal support acknowledged.
5. Saswat,P. Infrastructure-assisted cooperative state estimation via augmentation of asynchronous kinematic measurements. ION ITM, Long Beach, CA. January 2024.
6. Saswat,P. Feasibility studies on CAV applications with state uncertainties: A survey.IEEE FISTS. February 2024.
7. Nagai,K., Spenko, M., Henderson, R., & Pervan, B. Fault-free integrity and continuity for driverless urban vehicle navigation with multi-sensorintegration: A case study in downtown Chicago. NAVIGATION, 71(1), March 2024. Federal support acknowledged.
8. Kujur,B., Khanafseh, S., & Pervan, B. Optimal INS monitor for GNSS spoofertracking error detection. NAVIGATION, 71(1), March 2024. Federal supportacknowledged.
9. Ayyash,M. Jamming-resilient mirror element allocation scheme for OIRS-aided UAV-basedFS networks. IEEE Transactions on Intelligent Vehicles, March 2024. https://doi.org/10.1109/TIV.2024.3450191
10. Joerger,M., & Jada, S. Impacts of GNSS interference on CAVs. ERASMO, UTC France.March 2024. Federal support acknowledged.
11. Hu,W., Mohsenian-Rad, H., & Farrell, J. A. Optimization-based outlieraccommodation for CAV state estimation. Submitted to IEEE Transactions onVehicular Technology. March 2024.
12. Hu,W., Jiang, Z., Mohsenian-Rad, H., & Farrell, J. A. Convex reformulation ofrisk-averse state estimation with binary variables. Submitted to the CDC. March2024.
13. Andrei,V., Djuhera, A., Li, X., Monich, U., Boche, H., & Saad, W. Resilient, federated large language models over wireless networks: Why the PHY matters.Submitted to IEEE GLOBECOM. April 2024.
14. Nagai,K. Fault-free integrity of urban driverless vehicle navigation withmulti-sensor integration: A case study in downtown Chicago. ION Webinar. April2024. Federal support acknowledged.
15. Zixi,L. An automated pipeline for detection and localization of GNSS interferencesources. Aerospace UPP Conference. April 2024.
16. Anargyros,K. Low-cost GNSS monitors for RFI detection. Aerospace UPP Conference. April2024.
17. Ayyash,M. Jamming attacks on FSO networks: Challenges, opportunities, and a publicsafety use-case. IEEE WF-PST. May 2024.
18. Andrei,V. C., Djuhera, A., Li, X., Monich, U. J., Boche, H., & Saad, W. Resilient, federated large language models over wireless networks: Why the PHY matters. InProceedings of IEEE ICC Workshop, Denver, CO. June 2024.
19. Rife,J., Wassaf, H., Khanafseh, S., & Pervan, B. Fundamental architectures forhigh-integrity georeferenced LiDAR positioning. In Proceedings of ION GNSS+, Baltimore, MD. September 2024. Federal support acknowledged.
20. Stas,M. Optimization-based outlier accommodation for tightly coupled RTK-aidedinertial navigation systems in urban environments. IEEE ITSC, Edmonton, Canada.September 2024.
21. Becker,J., & Joerger, M. Uncertainty quantification for radar/inertial poseestimation in GNSS-denied areas. ION GNSS+, Baltimore, MD. September 2024. Federal support acknowledged.
22. Joerger,M., & Hassani, A. Wrong association risk bounding usinginnovation-projections for landmark-based LiDAR localization. ION GNSS+, Baltimore, MD. September 2024.
23. Nagai,K., & Pervan, B. Integrity with LiDAR positioning: Case studies inautomatic feature extraction. ION GNSS+, Baltimore, MD. September 2024. Federalsupport acknowledged.
24. Nagai,K., & Pervan, B. Enhanced integrity of LiDAR localization: A study onfeature extraction techniques. ION GNSS+, Baltimore, MD. September 2024. Federal support acknowledged.
25. Moore,M. O., Psiaki, M. L., & Buehrer, R. M. Time-diverse Doppler-only LEO PNT: Initial solution. ION GNSS+, Baltimore, MD. September 2024.
26. Shui,T., & Saad, W. Design and analysis of resilient vehicular platoon systemsover wireless networks. In Proceedings of IEEE GLOBECOM. December 2024.
27. Shelim,R., Saad, W., & Ramakrishnan, N. Fast geometric learning of MIMO signal detection over Grassmannian manifolds. In Proceedings of IEEE GLOBECOM.December 2024.
28. Andrei,V. C., Djuhera, A., Li, X., Monich, U. J., Saad, W., & Boche, H. Resilient, federated large language models over wireless networks: Why the PHY matters. InProceedings of IEEE GLOBECOM. December 2024.
29. Ahmed,S., Khanafseh, S., & Pervan, B. Uncovering subtle GNSS spoofing via crossambiguity decomposition. IEEE Transactions on AES. December 2024. Federalsupport acknowledged.
30. Chen,Y. H., Liu, Z., Kriezis, A., Lo, S., & Walter, T. Combining ADS-B, LCM, andDPA for GNSS jammer detection. ION ITM, Long Beach, CA. January 2025.
31. Kujur,B., Khanafseh, S., & Pervan, B. Performance of optimal INS monitor againstlive spoofing. ION ITM, Long Beach, CA. January 2025. Federal supportacknowledged.
32. Chen,Y. H., Liu, Z., Kriezis, A., Lo, S., & Walter, T. Interference detection inmassive GNSS jammer test. ION ITM, Long Beach, CA. January 2025.
33. Lo,S., Liu, Z., Ibrahim, L., Chen, Y. H., & Walter, T. Observations of GNSSspoofing in Russia, 2023–2024. ION ITM, Long Beach, CA. January 2025.
34. Kriezis,A., Chen, Y. H., Akos, D., Lo, S., & Walter, T. Real-world spoofingdetection with low-cost receivers. ION ITM, Long Beach, CA. January 2025.
35. Kriezis,A., Chen, Y. H., Lo, S., Walter, T., Pullen, S., & Akos, D. Low-costreceiver RF interference analysis. Inside GNSS. March 2025.
36. Lo,S. Jammertest 2024 Results & Lessons Learned. Findings from Jammertest 2024 at General Assembly of the Nordic Navigation Forum, April 2025.
37. Ahmed,S., Khanafseh, S., & Pervan, B. Experimental validation for GNSS spoofingdetection by decomposition of the complex cross ambiguity function. Proceedings of IEEE/ION PLANS 2025, Salt Lake City, UT, April 2025.
38. Nemana,M., Nagai, K., Khanafseh, S., & Pervan, B. Exploring LiDAR resilience: Are view of spoofing threats in autonomous driving. Proceedings of IEEE/ION PLANS2025, Salt Lake City, UT, April 2025.
39. Moore,M. O., Psiaki, M. L., & Buehrer, R. Analysis of Time-Diverse Doppler-OnlyLEO PNT. IEEE/ION PLANS 2025, Salt Lake City, UT, April 2025.
40. Kuwada,S., Joerger, M., & Spenko, M. Fault detector sensitivity in centralizedcollaborative localization. IEEE/ION PLANS 2025, Salt Lake City, UT, April 2025.
41. Ahmed,S. GNSS Spoofing Detection and Exclusion Using Decomposition of the ComplexCross Ambiguity Function (CCAF). Ph.D. Oral Defense, May 2025.
42. Mo,R., Wu, B., & Qiu, H. SEE-V2X: C-V2X Direct Communication Dataset – AnApplication-Centric Approach. ACM SenSys, May 2025.
43. Kuwada,S., Joerger, M., & Spenko, M. Integrity Monitoring for CentralizedConnected Autonomous Vehicles Localization. International Conference onRobotics and Automation (ICRA 2025), Atlanta, GA.
44. Ahmed,S., Khanafseh, S., & Pervan, B. Uncovering Subtle GNSS Spoofing byDecomposing the Complex Cross Ambiguity Function. IEEE Transactions onAerospace and Electronic Systems, accepted June 2025.
45. Joerger,M., Hassani, A., Spenko, M., & Becker, J. Data Association UsingInnovation-Projections for Landmark-Based LiDAR Localization. NAVIGATION: Journal of the Institute of Navigation, 2025.
46. Hassani,A., & Joerger, M. Spherical Grid-Based IMU/LiDAR Localization andUncertainty Evaluation Using Signal Quantization. NAVIGATION: Journal of theInstitute of Navigation, 2025.
47. Racelis,D. Advanced Receiver Autonomous Integrity Monitoring for Multi-ConstellationGNSS and LEO-Augmented GNSS. Ph.D. Dissertation, Virginia Tech, July 2025.
48. QoS-EnabledWireless Split Federated Learning: A Reinforcement Learning and OptimizationApproach. IEEE Transactions on Consumer Electronics, July 2025. DOI:10.1109/TCE.2025.3587176
49. Multi-StageEnhanced Zero Trust Intrusion Detection System for Unknown Attack Detection inInternet of Things and Traditional Networks. ACM Transactions on Privacy andSecurity, August 2025. https://doi.org/10.1145/3725216
50. Babcock-Chi,J., Lo, S., Chen, Y.-H., Blanch, J., & Walter, T. TDOA-Based SpoofingSource Localization Using Multi-Constellation Unsynchronized Receivers.Proceedings of ION GNSS+ 2025, Baltimore, MD, September 2025. https://doi.org/10.33012/2025.20369
51. Beatty,D., & Psiaki, M. L. Blind Multi-Vehicle GNSS Spoofing Detection withExtended Baselines. Proceedings of ION GNSS+ 2025, Baltimore, MD, September 2025. https://doi.org/10.33012/2025.20287
52. Kujur,B., Khanafseh, S., & Pervan, B. Performance of Optimal INS Monitor AgainstJamming-Then-Spoofing Scenarios. Proceedings of ION GNSS+ 2025, Baltimore, MD, September 2025.
53. Wang,S., Racelis, D., & Joerger, M. Integrity Analysis of GNSS/LEO PositioningUsing Range and Doppler Measurements. Proceedings of ION GNSS+ 2025, Baltimore, MD, 2025.
54. Psiaki,M. L. The Why & the How of Research into LEO-Based Signals of Opportunity.Proceedings of ION GNSS+ 2025, Baltimore, MD, 2025.
55. Psiaki,M. L. A Generalized GDOP Analysis for PNT that Requires Sequential Filtering.Proceedings of ION GNSS+ 2025, Baltimore, MD, 2025.
56. Carey,L., Langel, S., & Joerger, M. CUSUM-Based Innovations Monitoring AgainstSpoofing Threats. Proceedings of ION GNSS+ 2025, Baltimore, MD, 2025.
57. Kinatas,H., & Joerger, M. Experimental Evaluation of Collaborative NavigationThrough Shared Motion Constraints During GNSS Interference. Proceedings of IONGNSS+ 2025, Baltimore, MD, 2025.
58. Marti,M., & Joerger, M. Kalman Filter Integrity Monitoring Over Finite TimeIntervals. Proceedings of ION GNSS+ 2025, Baltimore, MD, 2025.
59. EnhancingGNSS Resiliency Against Spoofing and Jamming Employing Deep Neural Networks.IEEE World Forum on Public Safety Technology (WF-PST 2025), September 2025.
60. Nayak,S. P., & Barth, M. The Role of Integrity Monitoring in Connected andAutomated Vehicles: Current State of Practice and Future Directions. IEEEIntelligent Transportation Systems Magazine, 2025. https://doi.org/10.1109/MITS.2025.3589632
61. DeRieux,J.-L. Artificial Intelligence (AI)-Based Semantic Communications withMultimodal Data: Framework and Implementation. M.S. Thesis, Virginia Tech,2025.
62. Shui,T., Saad, W., & Chen, M. Sensing Safety Analysis for Vehicular Networkswith Integrated Sensing and Communication (ISAC). IEEE Global CommunicationsConference (GLOBECOM), 2025.
63. Yuan,W., Li, J., Yue, J., Shah, D., & Qiu, H. BEVCALIB: LiDAR-Camera Calibrationvia Geometry-Guided Bird’s-Eye View Representations. Conference on RobotLearning (CoRL), September 2025.