Mr. Sahngzhe Sun | Monitoring Awards | Excellence in Research

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.

Professional Profile:

GOOGLE SCHOLAR

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:

CITED:18
CITED:2
CITED:2
CITED:2
CITED:1

Dr. Rebecca Robbins | Monitoring Awards | Best Researcher Award

Dr. Rebecca Robbins | Monitoring Awards | Best Researcher Award

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.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Dr. Rebecca Robbins is an excellent candidate for the Best Researcher Award at Harvard Medical School, given her remarkable career trajectory, expertise in sleep research, and significant contributions to public health.

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)

Faculty Academic Appointments:

  • 11/2020 – Present: Instructor of Medicine, Harvard Medical School
  • 03/2023 – Present: Assistant Professor of Medicine, Harvard Medical School
  • 01/2024 – Present: Assistant Professor at the T.H. Chan School of Public Health, Harvard University

Appointments at Hospitals:

  • 11/2020 – Present: Associate Scientist, Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital (BWH)

Publication top Notes:

Estimating Community Disruption from Nighttime Gunshots in 6 U.S. Cities, 2015 to 2021

Exploring sleep difficulties, alcohol, illicit drugs, and suicidal ideation among adolescents with a history of depression

Author Response: Sleep Apnea and Incident Stroke in a National Cohort of Black and White Adults

Accuracy of Three Commercial Wearable Devices for Sleep Tracking in Healthy Adults

Pioneering a multi-phase framework to harmonize self-reported sleep data across cohorts

Dr. Mukhtar Iderawumi Abdulraheem | Monitoring Awards | Best Researcher Award

Dr. Mukhtar Iderawumi Abdulraheem | Monitoring Awards | Best Researcher Award 

Dr. Mukhtar Iderawumi Abdulraheem, Henan Agricultural University, Zhengzhou, China 

Mukhtar Iderawumi Abdulraheem is a dedicated and accomplished academic with extensive experience in agricultural engineering and technology. He is currently affiliated with the College of Electrical and Mechanical Engineering at Henan Agricultural University in Zhengzhou, China. Dr. Abdulraheem is set to earn his Ph.D. in Agricultural Engineering in 2024, complementing his Master’s degree in Agricultural Technology (Soil Management) obtained in 2014 and his Post Graduate Diploma (PGD) in Crop, Soil, and Pest Management from 2011. He also holds a Bachelor of Science in Education (B.Sc. Ed.) in Agricultural Science, a Higher National Diploma (HND) in Agriculture (Crop Production Option), a Certificate in Management Information System (MIS) & Data Processing, and a Nigeria Certificate in Education (NCE) in Agricultural Education/Education of the Visually Impaired.

Dr. Abdulraheem has conducted significant research on various agricultural topics, including the effects of market periodicity on the supply of agricultural and manufactured products, the integrated application of urea and sawdust ash on soil and plant chemical properties, and the impact of geometric row arrangement on crop yields. His research has been pivotal in improving agricultural practices and understanding soil-plant interactions.TR

Professional Profile:

ORCID

 

Education:

  1. Ph.D. in Agricultural Engineering (2024)
    • College of Electrical and Mechanical Engineering, Henan Agricultural University, Zhengzhou, China
  2. Masters of Agricultural Technology (Soil Management) (2014)
    • Federal University of Technology, Akure, Nigeria
  3. Post Graduate Diploma (PGD) in Crop, Soil & Pest Management (2011)
    • Federal University of Technology, Akure, Nigeria
  4. B.Sc. (Ed.) in Agricultural Science (2016)
    • National Open University of Nigeria
  5. Certificate in Management Information System (MIS) & Data Processing (2009)
  6. Higher National Diploma (HND) in Agriculture (Crop Production Option) (2008)
    • Federal College of Agriculture, Moor Plantation, Apata, Ibadan, Nigeria
  7. NCE (Agricultural Education/Education of the Visually Impaired) (2002)
    • Federal College of Education (Special), Oyo, Nigeria

Work Experience:

Academic and Research Positions:

  1. Research Work:
    • 2015: “Effects of Market Periodicity on the supply of Agricultural and Manufactured products in Igboora, Ibarapa Central Local Government Area of Oyo State.” (B.Sc. Project)
    • 2014: “Effects of Integrated Application of Urea and Sawdust Ash on Soil and Plant Chemical Properties and Okra Performance (Abelmoscus eculentus (L.) Moench) in Lanlate, Nigeria.” (M. Agric. Tech Project)
    • 2011: “Effects of Urea and Sawdust Ash Manure on Soil Chemical Properties and Sorghum (Sorghum bicolor L. (Moench) Mill) Performance in Lanlate, Nigeria.” (PGD Project)
    • 2008: “Effects of Geometric Row Arrangement on Growth and Yield of Cowpea in a Maize-Cowpea Intercrop.” (HND Project)
    • 2002: “The Problems Facing Visually Handicapped Poultry Farmers.” (NCE Project)

Publication top Notes:

 

Deciphering mycobiota and its functional dynamics in root hairs of <i>Rhododendron campanulatum</i> D. Don through Next-gen sequencing

Recent Applications of Fiber Bragg Grating Sensors in Humidity and Water Content Detection in Agriculture: A Comprehensive Review of Development, Challenges, and Future Trends

Evaluation of agricultural non-point source pollution using an in-situ and automated photochemical flow analysis system

Reactivating the Potential of Lima Bean (Phaseolus lunatus) for Enhancing Soil Quality and Sustainable Soil Ecosystem Stability

Soil-Specific Calibration Using Plate Compression Filling Technique and Monitoring Soil Biomass Degradation Based on Dielectric Properties

Recent Advances in Dielectric Properties-Based Soil Water Content Measurements