Mr. Xiaowo Xu | Remote Sensing award | Best Researcher Award

Mr. Xiaowo Xu, University of Electronic Science and Technology of China

Xiaowo Xu is a Ph.D. candidate in Information and Communication Engineering at the University of Electronic Science and Technology of China (UESTC), where he has been honing his research skills since September 2022. His academic journey began with a Bachelor of Engineering in Electronic Information Engineering from Sichuan University, followed by a Master of Engineering in the same field at UESTC. His research interests focus on deep learning applications, particularly in object categorization, object detection, instance segmentation, and moving object tracking. Currently, he is dedicated to the intelligent interpretation of synthetic aperture radar (SAR) images. Xiaowo has received several prestigious awards, including the 1st Scholarship for Doctoral Candidates and the Special Scholarship for Doctoral Candidates from UESTC, along with an “Honor Academic” Award and the Outstanding Graduate Student Award for the 2022-2023 academic year.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Xiaowo Xu’s research focus on deep learning applications, particularly in object detection, segmentation, and synthetic aperture radar (SAR) image interpretation, positions him well for the Best Researcher Award. His expertise aligns with cutting-edge areas like object categorization and moving object tracking, essential topics in remote sensing and computer vision, which are currently high-impact fields in academia and industry.

Education:

Sep. 2022 – Present: Ph.D. candidate in Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC).
Sep. 2020 – Sep. 2022: Master of Engineering in Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC).
Sep. 2016 – Jun. 2020: Bachelor of Engineering in Electronic Information Engineering, Sichuan University (SCU).

Work and Research Experience:

Ph.D. Research (2022 – Present): Xiaowo Xu is currently pursuing a Ph.D. in Information and Communication Engineering at UESTC, focusing on deep learning applications in synthetic aperture radar (SAR) image intelligent interpretation. His research areas encompass object categorization, detection, instance segmentation, and moving object tracking using deep learning techniques.
Master’s Research (2020 – 2022): During his master’s studies at UESTC, he deepened his expertise in information and communication engineering, developing skills in Python, MATLAB, and deep learning frameworks like PyTorch and TensorFlow.
Academic Communication and Conferences (2022 – Present): Xiaowo Xu has presented his research through posters at prestigious IEEE conferences, including the International Geoscience and Remote Sensing Symposium and the Radar Conference. His work has been showcased internationally, including in the USA, Malaysia, and China.

Publication top Notes:

A Novel Multimodal Fusion Framework Based on Point Cloud Registration for Near-Field 3D SAR Perception

A Group-Wise Feature Enhancement-and-Fusion Network with Dual-Polarization Feature Enrichment for SAR Ship Detection

RBFA-Net: A Rotated Balanced Feature-Aligned Network for Rotated SAR Ship Detection and Classification

A Sparse-Model-Driven Network for Efficient and High-Accuracy InSAR Phase Filtering

Lite-YOLOv5: A Lightweight Deep Learning Detector for On-Board Ship Detection in Large-Scene Sentinel-1 SAR Images

Dr. Peng Zhou, Beijing Normal University, China

Mr. Peng Zhou is a Ph.D. candidate at the Faculty of Geographical Science, Beijing Normal University, specializing in global environmental change. His research interests span across remote sensing, aerosol studies, and Lidar technology, with a focus on leveraging data science, machine learning, and spatiotemporal modeling techniques. Peng Zhou holds a Master’s degree in Surveying and Mapping Engineering from Henan Polytechnic University and earned his Bachelor’s degree from Nanyang Normal University. His academic pursuits and research aim to contribute to understanding and mitigating environmental challenges through advanced spatial analysis and remote sensing applications.

Education:

Ph.D. in Faculty of Geographical Science, Beijing Normal University, expected completion September 2024.

M.S. in Surveying and Mapping Engineering, Henan Polytechnic University, September 2021 – July 2024.

B.S. in Surveying and Mapping Engineering, Nanyang Normal University, September 2017 – July 2021.

Work Experience:

Mr. Peng Zhou’s professional experience includes research and academic roles focusing on remote sensing, aerosol studies, lidar, data science, machine learning, and spatiotemporal modeling. He has actively contributed to the field of geographical science through his research and affiliations with academic institutions.

Publication top Notes:

Quantifying the effects of the microphysical properties of black carbon on the determination of brown carbon using measurements at multiple wavelengths

Evaluation and Comparison of Multi-Satellite Aerosol Optical Depth Products over East Asia Ocean

Quantifying the effects of the microphysical properties of black carbon on the determination of brown carbon using measurements at multiple wavelengths

Supplementary material to “Quantifying the effects of the microphysical properties of black carbon on the determination of brown carbon using measurements at multiple wavelengths”