Assoc Prof Dr. Genping Zhao, Guangdong University of Technology, China
Associate Professor at Guangdong University of Technology, specializing in the analysis and application of multi-source remote sensing images. With a Ph.D. in Information and Communication Engineering from Harbin Engineering University, Dr. [Name] has conducted extensive research in hyperspectral image processing, including a postdoctoral stint at the University of Alberta. Their work focuses on integrating hyperspectral and LiDAR data for forest applications and other environmental monitoring tasks. Recognized for their contributions to the field, Dr. [Name] has received multiple honors, including the 2023 Advanced Scientific and Technological Staff Award from Guangdong University of Technology. Their research projects span from spectral unmixing and data fusion to practical applications in agriculture and environmental health. Dr. [Name] has also collaborated on significant projects with international institutions, contributing to advancements in remote sensing technologies.
Professional Profile:
Summary:
The individual’s robust academic background, significant international research experience, high-impact publications, and recognition through prestigious awards make them a highly suitable candidate for the Best Researcher Award. Their contributions to remote sensing, hyperspectral image analysis, and multi-source data fusion demonstrate a high level of expertise and innovation in their field.
Education
Ph.D. Candidate, Information and Communication Engineering
Harbin Engineering University, Harbin, China
2011–2017
- Rank: 2/29 (Top 7%)
- Dissertation: Hyperspectral Image Unmixing Based on Tunable Archetypal Analysis
B.Sc., Signal and Information Processing
Harbin Engineering University, Harbin, China
2007–2011
- Rank: 3/195 (Top 2%)
- Dissertation: Hyperspectral Remote Sensing Image Classification Based on Support Vector Machine
Work and Research Experience
Associate Professor
Guangdong University of Technology, Guangzhou, China
November 2017 – Present
- In the National Joint Engineering Research Center of Intelligent Manufacturing Information Integration System and Integration Technology
- Responsible for research on multi-source remote sensing image analysis and applications
Postdoctoral Researcher
Centre for Earth Observation Sciences, University of Alberta, Canada
November 2018 – November 2019
- Focused on the fusion of hyperspectral and LiDAR images in forest applications
Visiting PhD Student
The University of New South Wales, Canberra Campus, Australia
December 2014 – February 2015
- Research collaboration with Dr. Xiuping Jia on hyperspectral image unmixing
Visiting PhD Student
The University of Western Australia, Australia
December 2013 – December 2014
- Research collaboration with Prof. Christian Nansen on hyperspectral image processing and agricultural applications
Publication top Notes:
Sugarcane Biomass Prediction with Multi-Mode Remote Sensing Data Using Deep Archetypal Analysis and Integrated Learning
Motion Blur Removal for Uav-Based Wind Turbine Blade Images Using Synthetic Datasets
Archetypal Analysis and Structured Sparse Representation for Hyperspectral Anomaly Detection
PEMCNet: An Efficient Multi-Scale Point Feature Fusion Network for 3D LiDAR Point Cloud Classification
Hyperspectral and Full-Waveform LiDAR Improve Mapping of Tropical Dry Forest’s Successional Stages