Dr. Guangle Jia, Kalman filter Award, Best Researcher Award
Research Associate at University of Calgary, Canada
Guangle Jia, a Chinese national born on June 24, 1990, is a dedicated scholar with a passion for academia and research. He holds a Ph.D. in Control Science and Engineering from Harbin Engineering University and has worked as a Research Associate at the University of Calgary, Canada. With expertise in state estimation and system identification, he explores innovative solutions in indoor localization. Guangle’s academic journey includes notable awards such as the Eyes High Postdoctoral Match-Funding and scholarships from the China Scholarship Council. His diverse interests range from singing to sports like basketball and swimming, reflecting a well-rounded personality committed to excellence in both professional and personal pursuits. Kalman filter.
Professional Profiles:
Education Experience
Visiting Ph.D. Student, Department of Electrical and Software Engineering, University of Calgary (2021.05-2022.07) Ph.D. Student, College of Automation, Harbin Engineering University, China (2017.09-2022.06) Master of Engineering, College of Automation, Harbin Engineering University, China (2015.09-2017.06) Bachelor of Engineering, College of Safety Engineering, North China Institute of Science and Technology (2009.09-2013.06). Major: Control Science and Engineering (Ph.D. and Master’s), Geological Engineering (Bachelor’s)
Work Experience:
Research Associate, Department of Electrical and Software Engineering, University of Calgary, Canada (2023.03-2024.03) Instructor, School of Information Science and Engineering, Harbin Institute of Technology, China (2022.09-2024.01)
Research Interests
State Estimation, System Identification, Information Fusion, Indoor Localization
Awards
Eyes High Postdoctoral Match-Funding (2022.11) Scholarship under the State Scholarship Fund by China Scholarship Council (CSC) (2020.08) First-Class Scholarship of Harbin Engineering University (2019.09) Third-Class Scholarship of Harbin Engineering University (2018.09) Second-Class Scholarship of Harbin Engineering University (2017.09, 2016.09, 2015.09)
Research Focus:
Guangle Jia’s research primarily focuses on the development and enhancement of Kalman filter variants and related estimation techniques for robust and adaptive state estimation in dynamic systems. His work spans various domains, including signal processing, circuits, and systems. Jia’s contributions have led to advancements in handling non-stationary and heavy-tailed noises, as well as addressing challenges such as time-varying biases and randomly delayed measurements. His innovative approaches, such as incorporating Student’s t distribution and adaptive strategies, demonstrate a keen interest in tackling real-world complexities in estimation problems. Jia’s expertise significantly impacts fields like navigation, tracking, and sensor fusion, offering reliable solutions for dynamic system estimation challenges.
Publications (TOP NOTES)
A novel robust Student’s t-based Gaussian approximate filter with one-step randomly delayed measurements, cited by 17, Publication: 2020.
A Novel Student’s t-based Kalman Filter with Colored Measurement Noise, cited by 06, Publication: 2020.
An Improved Kalman Filter With Adaptive Estimate of Latency Probability, cited by 16, Publication: 2019.