Time: At 9:00 am, November 21,2017.
Location: A512, School of Environment Science and Spatial Informatics
Report Title 1: Ocean GNSS Vapor Retrieval and Experimental Analysis
Speaker: Shijie Fan, an associate professor
A Brief Introduction of Prof. Shi Wenzhong:
Shijie Fan, from Liaocheng City, Shandong Province, is a PhD, associate professor, and master tutor. He graduated from Wuhan University in 1993 with a major in Engineering and Surveying. Then he obtained a Master's degree in 2004 and a Ph.D. degrees in 2013 majoring in Geodesy and Surveying Engineering. From August 2014 to July 2015, he was a visiting scholar at SPACE Center, Royal Melbourne Institute of Technology(RMIT), Australia. He is mainly engaged in GNSS precision positioning and data processing, GNSS meteorology, oceanography and other aspects of teaching and research work. He presided over or participated in more than 10 projects such as the National 863 Program, the National Natural Science Foundation of China, the Marine Nonprofit industry research project. In addition, he published more than 30 academic papers including 12 SCI / EI papers, and 1 academic monograph.
Report Title 2: Spatio-temporal Variability Analysis of Storm Water and Steam Discharges Based on Hunan CORS Network
Speaker: Li Li, an Associate Professor
A Brief Introduction of Prof. Shi Wenzhong:
Li Li was born in 1981 and graduated from Central South University in 2011 with a Ph.D. Now he is an associate professor and a master tutor at Hunan University of Science and Technology. He is mainly engaged in scientific research and teaching of GPS meteorology, GPS precise positioning and mine deformation monitoring. Currently, he presides over 1 Youth Fund of National Natural Science Foundation of China and 1 Hunan Provincial Natural Science Foundation. Also, he participates in 3 projects of the National Natural Science Foundation of China and 3 provincial-level scientific research projects. He has published more than 20 journal articles and conference papers (including 3 SCI, 4 EI and 10 CSCD) by the first author, and has compiled 1 book. He was awarded the 15th Natural Science Excellent Academic Paper of Hunan Province in 2014,and the third prize of Outstanding Young Paper of China Satellite Navigation Conference in 2015. He visited Melbourne University, Australia from March 3 to March 3, 2016 to conduct a one-year study tour and learned from Professor Kefei Zhang.
Report Title 3: A New Algorithm for Atmospheric Occultation
Speaker: Ying Li, an Assistant Researcher
A Brief Introduction of Prof. Shi Wenzhong:
Ying Li, graduated from Royal Melbourne Institute of Technology in Australia with a Ph.D. degree in 2013. and his tutor is Prof. Kefei Zhang. Currently, he is an assistant researcher at Institute of Geodesy and Geophysics, Chinese Academy of Sciences. His main research interest is in the GNSS atmospheric occultation algorithm and its applications.
Report Title 4: Ground-based GNSS Water Vapor Retrieval and Its Application to Climate Change Research.
Speaker: Xiaoming Wang, an Associate Researcher
A Brief Introduction of Prof. Shi Wenzhong:
Xiaoming Wang, graduated from Royal Melbourne Institute of Technology in Australia in 2017 with a Ph.D. degree.,and his tutor is Prof. Zhang Kefei. Now, he is an associate researcher at the Institute of Geodesy and Geophysics, Chinese Academy of Sciences. His main research interests are in the establishment and maintenance of dynamic coordinate frames, high-precision GNSS data processing and the application of Ground-based GNSS Atmospheric Inversion in weather forecasting and climate change research.
Report Title 5: Improvement of reflection detection success rate of GNSS RO measurements using artificial neural network
Speaker: Andong Hu, a Phd.
A Brief Introduction of Prof. Shi Wenzhong:
Andong Hu was born in 1990 and is a PhD student at the Center for Space Science, Royal Melbourne Institute of Technology. He is mainly engaged in GNSS occultation technology and space weather research. In this report, he will discuss the reflection of near-surface GPS occultation signals more comprehensively and thoroughly, and use the Multiple Signal Classification (MUSIC) to analyze the spectrum of the signal, and then automate the batch detection of spectrogram through machine learning .
All teachers and classmates are welcome!
