Mr. Sahngzhe Sun | Monitoring Awards | Excellence in Research

Mr. Sahngzhe Sun, Wuhan University, China

Shangzhe Sun is a researcher affiliated with Wuhan University, specializing in computer vision, deep learning, and unmanned aerial vehicle (UAV) technology. His expertise includes 3D image processing, point clouds, LiDAR data analysis, and intelligent unmanned systems. Sun has contributed to significant advancements in UAV-based applications, particularly in power transmission line detection, insulator defect detection, and real-time 3D mapping. His notable works include “DCPLD-Net: A diffusion coupled convolution neural network for real-time power transmission lines detection from UAV-Borne LiDAR data,” published in the International Journal of Applied Earth Observation and Geoinformation, and collaborative projects like OR-LIM and LUOJIA Explorer for exploration and mapping. Through his research, Sun aims to improve UAV capabilities in high-precision mapping, surveillance, and defect detection, contributing to the safety and efficiency of power transmission facilities and intelligent mapping.

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Summary of Suitability for Excellence in Research Award: Shangzhe Sun

Shangzhe Sun, affiliated with Wuhan University, specializes in computer vision, deep learning, UAV-based imaging, and intelligent unmanned systems. His work demonstrates a strong focus on innovative research for real-time, drone-based data collection, which has significant applications in infrastructure inspection, mapping, and autonomous navigation systems.

Education:

Ph.D. in Computer Vision and Deep Learning (Expected or obtained by 2024)
Wuhan University, China
Specialization: Computer Vision, UAV-based systems, LiDAR data processing, point cloud mapping, and intelligent unmanned systems.

Work Experience:

Researcher/Graduate Research Assistant
Wuhan University
Focused on computer vision, deep learning, and UAV applications for remote sensing and geospatial data processing. Contributed to significant research projects on UAV LiDAR applications, defect detection in power transmission, and collaborative mapping.
Research Collaborator (Likely Role)
Collaborated with various co-authors and institutions on projects involving LiDAR-based object detection, multimodal sensor integration, and UAV mapping.

Shangzhe Sun’s recent publications, including works on insulator defect detection, real-time UAV 3D point clouds, and UAV-based exploration, reflect a strong research background in UAV applications and geospatial data analysis. Additional work experience may be in academia or research settings, given the specialized topics of his publications.

Publication top Notes:

DCPLD-Net: A diffusion coupled convolution neural network for real-time power transmission lines detection from UAV-Borne LiDAR data

CITED:18

ID-Det: Insulator Burst Defect Detection from UAV Inspection Imagery of Power Transmission Facilities.

CITED:2

Real-Time UAV 3D Image Point Clouds Mapping

CITED:2

Collaborative Exploration and Mapping with Multimodal LiDAR Sensors

CITED:2

Easy Rocap: A Low-Cost and Easy-to-Use Motion Capture System for Drones

CITED:1

OR-LIM: Observability-aware robust LiDAR-inertial-mapping under high dynamic sensor motion

Dr. Rebecca Robbins, Harvard Medical School, Brigham and Women’s Hospital, United States

Dr. Rebecca Robbins is an esteemed Assistant Professor at Harvard Medical School and the T.H. Chan School of Public Health, with a notable focus on sleep, circadian disorders, and health communication. She earned her BS in Hotel Administration with a concentration in Business and Finance from Cornell University in 2009, followed by an MS and PhD in Health Communication and Health Marketing from the same institution. In 2022, she completed a second MSc in Medical Sciences from Harvard Medical School. Dr. Robbins has completed extensive postdoctoral training, including research in population health at NYU School of Medicine and sleep and respiratory neurobiology at Brigham and Women’s Hospital, Boston.

Education:

2009: BS in Hotel Administration, Business & Finance, Cornell University, Ithaca, NY

2013: MS in Health Communication & Health Marketing, Cornell University

2015: PhD in Health Communication & Health Marketing, Cornell University (advised by Drs. Jeff Niederdeppe, Brian Wansink, James Maas, and Sahara Byrne)

2022: MSc in Medical Sciences (Clinical Investigation), Harvard Medical School, Boston, MA

Postdoctoral Training:

05/2015 – 08/2019: Postdoctoral Fellow, Population Health & Health Disparities Research, NYU School of Medicine, New York, NY (mentored by Dr. Girardin Jean-Louis)

08/2019 – 10/2020: Postdoctoral Research Fellow, Sleep, Circadian and Respiratory Neurobiology, Brigham and Women’s Hospital (BWH), Boston, MA & Harvard Medical School (HMS), Boston, MA (mentored by Dr. Charles Czeisler)

Publication top Notes: