Dr. Yi Chen, changan university, China
Yi Chen is a dedicated researcher specializing in remote sensing and surveying. He earned his B.Eng. degree in Remote Sensing Science and Technology in 2018 and his M.Sc. degree in Surveying and Mapping in 2022 from Lanzhou Jiaotong University, Lanzhou, China. Currently, he is pursuing his Ph.D. at the College of Geological Engineering and Geomatics at Chang’an University in Xi’an, China. His research interests focus on InSAR (Interferometric Synthetic Aperture Radar) data processing and the study of earthquake-induced landslides, where he applies advanced methodologies to address critical geophysical challenges. With a strong academic background and a commitment to innovative research, Yi Chen aims to contribute significantly to the fields of geodesy and remote sensing.
Professional Profile:
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Summary of Suitability for Best Researcher Award: Yi Chen
Research Background Yi Chen has an impressive academic trajectory, having obtained his B.Eng. degree in remote sensing science and technology and an M.Sc. degree in surveying and mapping from Lanzhou Jiaotong University, China, in 2018 and 2022, respectively. He is currently a Ph.D. candidate at the College of Geological Engineering and Geomatics, Chang’an University, Xi’an, China. His research is primarily focused on InSAR data processing and earthquake-induced landslides, crucial areas in the field of geoscience and remote sensing.
👨🎓 Education
Yi Chen earned his B.Eng. degree in Remote Sensing Science and Technology (2018) and his M.Sc. degree in Surveying and Mapping (2022) from Lanzhou Jiaotong University, Lanzhou, China. He is currently pursuing a Ph.D. degree at the College of Geological Engineering and Geomatics, Chang’an University, Xi’an, China.
🔍 Research Interests
Yi’s research focuses on InSAR data processing 📡 and earthquake-induced landslides 🌍. His work aims to advance understanding in these critical areas, utilizing innovative methodologies to address pressing geological challenges.
📚 Contributions
Through his academic journey, Yi Chen has been dedicated to exploring the intersection of technology and earth sciences, contributing valuable insights that have implications for disaster management and environmental monitoring.
🌟 Future Aspirations
As he continues his research, Yi aims to make significant contributions to the fields of geodesy and remote sensing, with the goal of improving safety and resilience in earthquake-prone regions.
Publication Top Notes
A ConvLSTM Neural Network Model for Spatiotemporal Prediction of Mining Area Surface Deformation Based on SBAS-InSAR Monitoring Data
Surface deformation prediction based on TS-InSAR technology and long short-term memory networks
Time-Series Analysis and Prediction of Surface Deformation in the Jinchuan Mining Area, Gansu Province, by Using InSAR and CNN–PhLSTM Network
Spatiotemporal characteristics of drought and its impact on vegetation in the vegetation region of Northwest China
Prediction of InSAR deformation time-series using a long short-term memory neural network