GNSS Data Processing: Hands-on experience with multi-GNSS data processing using standard formats (e.g., RINEX, NMEA); familiar with low-cost GNSS receivers like Android smartphones and u-blox receivers.
GNSS Performance Evaluation: Competent in evaluating GNSS performance metrics, statistics, and algorithms; experience in precise GNSS products (e.g., precise ephemerides and clock data).
PNT Principles: Strong understanding of Positioning, Navigation, and Timing (PNT) principles using GNSS technologies, including pseudorange calculations and Kalman filtering.
Advanced Filtering Techniques: Proficient in Kalman Filter (KF) and Extended Kalman Filter (EKF) for GNSS data fusion and navigation.
Data Processing Tools: Expertise in using RTKLIB and other online resources for multi-GNSS positioning (SPP, PPP, etc.); experience with RTK, NRTK, and precise positioning services.
Navigation Systems: Strong understanding of GNSS and INS/IMU systems; experience in navigation sensor testing and data analysis.
Analytical and Problem-Solving: Excellent problem-solving and analytical skills with the ability to quickly learn new technologies.
Expertise in MATLAB® and Python for GNSS data analysis and algorithm development.
Skilled in using Linux and Windows platforms for research and software development.
Experienced in version control with Git for collaborative software development and code management.
Proficient in C++ for developing navigation and positioning algorithms, enhancing system efficiency and performance.
Communication and Collaboration: Strong communication and teamwork abilities; fluent in spoken and written English.
Leadership and Mentorship: Proven experience in leading research and development projects; adept at teaching, training, and guiding students for internships and UG/PG projects.
Continuous Learning: Actively attended relevant workshops and conferences, stayed updated on GNSS advancements, and shared key insights with teams to drive research and innovation.
Technical Documentation: Proficient in LaTeX and Microsoft Office for academic use; experienced in preparing documentation, presentations, and reports.