I am a postdoctoral researcher in the Intelligent Positioning and Navigation Lab at The Hong Kong Polytechnic University. My work focuses on trusted autonomy, especially GNSS integrity monitoring, non-Gaussian error modeling, robust localization, and uncertainty quantification for safety-critical navigation systems.
I received my Ph.D. in Aeronautical and Aviation Engineering from PolyU in 2025, after completing my bachelor's and master's training at Wuhan University. My recent research connects statistical reliability, learning-based navigation, and deployable estimation methods for real-world autonomous systems.
Research Focus
Credible uncertainty quantification
Diagnosing uncertainty under noise and system model mismatch
I study when reported uncertainty can still be trusted under model mismatch, and how multiple diagnostics can be combined to separate noise-model issues from system-model misspecification.
Representative papers: IEEE TIM.
Robust estimation
Heavy-tailed modeling and robust urban GNSS positioning
I develop robust estimators and heavy-tailed error models for urban GNSS, with a focus on maintaining positioning performance when nominal Gaussian assumptions do not hold.
Representative papers: arXiv, arXiv, NAVIGATION.
Integrity monitoring
Fault detection and integrity monitoring under non-Gaussian errors
I study theoretically grounded integrity monitoring for localization systems, including non-Gaussian overbounding, efficient fault detectors, and integrity monitoring for simultaneous faults.
Representative papers: IEEE TAES, ION GNSS+, IEEE Sensors, IEEE TIV, Aerospace Systems.
Autonomous systems
Control-aided localization for vehicles and UAVs
I am interested in reliable localization pipelines that combine dynamics, sensing, and learning for operation in challenging environments where nominal models break down.
Representative papers: IEEE TIV, IEEE/ION PLANS, ION ITM.
Selected Highlights
Best Student Paper Award at ION GNSS+ 2024
One of four winners recognized for technical content and clarity of manuscript at the 37th International Technical Meeting of the Satellite Division of The Institute of Navigation.
Read the highlightRecent journal work on credibility and robustness
Current work spans credible uncertainty quantification, heavy-tailed GNSS error modeling, and robust urban positioning under practical model mismatch.
Browse recent publicationsMini-lectures for newcomers to the field
I also share short video lectures on core positioning and integrity ideas to make the field easier to enter for students and new researchers.
Watch the videosRecent News
- 03/2026: Paper accepted by IEEE Transactions on Instrumentation and Measurement: Credible Uncertainty Quantification under Noise and System Model Mismatch.
- 03/2026: Paper submitted to arXiv: Logistic-aided Huber M-estimator for robust GNSS positioning.
- 03/2026: Paper submitted to arXiv: Improved GNSS Positioning in Urban Environments Using a Logistic Error Model.
- 02/2026: Paper accepted in Aerospace Systems: Jackknife ARAIM: Efficient GNSS Integrity Monitoring for Simultaneous Faults under Non-Gaussian Errors.
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Contact
I am happy to discuss research collaborations, navigation integrity, robust estimation, and opportunities related to trusted autonomy.