STAFF PROFILE
Professor Kefei Zhang
Position:
Honorary Professor
College / Portfolio:
STEM College
Phone:
+61399253272
Email:
kefei.zhang@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
- Towards a new Australian GNSS RO atmospheric retrieval system (PhD candidate: Andong Hu). Funded by: CRC for Space Environment Management - Scholarship from (2018 to 2021)
- Monitoring of the Atmosphere over the Australian and Antarctic regions using GNSS radio occultation.. Funded by: Australian Antarctic Science Program Grant 2017 onwards from (2017 to 2020)
- Next generation space weather forecasts. Funded by: ARC Linkage Grant 2016 from (2016 to 2020)
- Tracklet Correlation and Multi-target Tracking of Space Debris Initial Orbit Determination for Enhanced Catalogue Maintenance and Conjunction Analysis (Student - Han Cai). Funded by: CRC for Space Environment Management from (2016 to 2019)
- Precision orbit determination and advanced astrodynamics research for applications in satellite positioning and tracking (PhD student: Adam Harris). Funded by: CRC for Space Environment Management from (2016 to 2019)
1 PhD Current Supervisions19 PhD Completions and 6 Masters by Research Completions
GPS/GNSS, geodesy ,atmospheric modelling, radio occultation, indoor positioning and tracking, space situational awareness, satellite orbit determination, space weather and severe weather.
- Li, H.,Wang, X.,Choy, S.,Jiang, C.,Wu, S.,Zhang, J.,Qiu, C.,Zhou, K.,Li, L.,Fu, E.,Zhang, K. (2022). Detecting heavy rainfall using anomaly-based percentile thresholds of predictors derived from GNSS-PWV In: Atmospheric Research, 265, 1 - 16
- Wang, P.,He, C.,Hu, A.,Zhao, D.,Shen, Y.,Zhang, K. (2021). A new method for improving the performance of an ionospheric model developed by multi-instrument measurements based on artificial neural network In: Advances in Space Research, 67, 20 - 34
- Li, W.,Zhao, D.,He, C.,Shen, Y.,Hu, A.,Zhang, K. (2021). Application of a Multi-Layer Artificial Neural Network in a 3-D Global Electron Density Model Using the Long-Term Observations of COSMIC, Fengyun-3C, and Digisonde In: Space Weather, 19, 1 - 19
- Zhu, D.,Zhang, K.,Shen, Z.,Wu, S.,Liu, Z.,Tong, L. (2021). A New Adaptive Absolute Method for Homogenizing GNSS-Derived Precipitable Water Vapor Time Series In: Earth and Space Science, 8, 1 - 12
- Kodikara, T.,Zhang, K.,Pedatella, N.,Borries, C. (2021). The Impact of Solar Activity on Forecasting the Upper Atmosphere via Assimilation of Electron Density Data In: Space Weather, 19, 1 - 28
- Hu, A.,Carter, B.,Currie, J.,Norman, R.,Wu, S.,Zhang, K. (2020). A Deep Neural Network Model of Global Topside Electron Temperature Modeling Using Incoherent Scatter Radars and Its Application to GPS Radio Occultation In: Journal of Geophysical Research: Space Physics, 1, 1 - 17
- Qin, K.,Han, X.,Li, D.,Xu, J.,Li, D.,Loyola, D.,Zhou, X.,Xue, Y.,Zhang, K.,Yuan, L. (2020). Satellite-based estimation of surface NO2 Concentrations over Eastern China: A Comparison of POMINO and OMNO2d Data In: Atmospheric Environment, 224, 1 - 10
- Li, W.,Zhao, D.,He, C.,Hu, A.,Zhang, K. (2020). Advanced machine learning optimized by the genetic algorithm in ionospheric models using long-term multi-instrument observations In: Remote Sensing, 12, 1 - 14
- Li, H.,Wang, X.,Wu, S.,Zhang, K.,Chen, X.,Qiu, C.,Zhang, S.,Zhang, J.,Xie, M.,Li, L. (2020). Development of an improved model for prediction of short-term heavy precipitation based on gnss-derived pwv In: Remote Sensing, 12, 1 - 22
- Wei, J.,Li, Y.,Zhang, K.,Liao, M.,Bai, W.,Liu, C.,Liu, Y.,Wang, X. (2020). An Evaluation of Fengyun-3C Radio Occultation Atmospheric Profiles Over 2015-2018 In: Remote Sensing, 12, 1 - 17