Assoc. Prof. Dr. Jie Zhao | Remote Sensing Awards | Best Researcher Award

Posted on by ScienceFather

Assoc. Prof. Dr. Jie Zhao | Remote Sensing Awards | Best Researcher Award

Assoc. Prof. Dr. Jie Zhao, Beijing University of Technology, China

  Dr. Jie Zhao is an Associate Professor at the School of Physics and Optoelectronic Engineering at Beijing University of Technology, China. She earned his Ph.D. in Optics from the university, where she also completed her Master’s degree. Dr. Zhao gained international research experience as a joint-cultured Ph.D. student at the University of Sheffield, UK. Her primary research interests include optical information processing, digital holographic microscopy, and Fourier ptychography imaging, with a focus on biological samples and terahertz wave phase-contrast imaging.She has contributed significantly to the advancement of diffraction tomographic imaging and continuous terahertz holography. Dr. Zhao has published numerous peer-reviewed articles in prominent journals and holds multiple patents.She is also an active member of the Society of Photo-Optical Instrumentation Engineers (SPIE) and has served as a postdoctoral researcher at the Henan Institute of Metrology.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Researcher Award – Jie Zhao

Dr. Jie Zhao is an Associate Professor at Beijing University of Technology (BJUT), specializing in Optics and Optoelectronics. With a strong background in terahertz imaging, computational tomography, and optical information processing, Dr. Zhao has made significant contributions to both theoretical and applied optics. His extensive research output and collaborative efforts position him as an excellent candidate for the Best Researcher Award.

Education:

  • Sep. 2007 – July 2011: Ph.D. in Optics, College of Applied Sciences, Beijing University of Technology (BJUT), China.
    • Joint-cultured Ph.D. student at the College of Electronic and Electrical Engineering, The University of Sheffield, UK (Sep. 2008 – Sep. 2009).
  • Sep. 2005 – July 2007: Master’s in Optics, College of Applied Sciences, BJUT, China.
  • Sep. 2001 – July 2005: Bachelor’s in Science and Technology of Optical Information, College of Physics Science & Technology, Hebei University, China.

Professional Experience:

  • Aug. 2011 – Present: Associate Professor/Lecturer, School of Physics and Optoelectronic Engineering, BJUT, China.
    • Courses taught: Optics, College Physics, and Optical Information Processing.
  • Nov. 2017 – Nov. 2020: Postdoctoral Researcher, Henan Institute of Metrology, China.
  • Sep. 2011 – Present: Member of SPIE (International Society for Optics and Photonics).

Publication top Notes:

Continuous-wave terahertz in-line holographic diffraction tomography with the scattering fields reconstructed by a physics-enhanced deep neural network

High accuracy terahertz computed tomography using a 3D printed super-oscillatory lens

Binary diffractive lens with subwavelength focusing for terahertz imaging

Binocular full-color holographic three-dimensional near eye display using a single SLM

Diffraction tomography based on Fourier ptychographic microscopy with the multiple scattering model

Continuous-Wave Terahertz In-Line Digital Holography Based on Physics-Enhanced Deep Neural Network

Dr. Emma Asbridge | Satellite monitoring Award | Best Researcher Award

Posted on by ScienceFather

Dr. Emma Asbridge | Satellite monitoring Award | Best Researcher Award 

Dr. Emma Asbridge, University of Wollongong, Australia

An early career researcher with expertise in remote sensing, spatial science, physical geography, and Earth and environmental geosciences, Dr. Emma Asbridge currently serves as a Post-Doctoral Research Fellow at the University of Wollongong (UOW). Since April 2022,  has been leading an ARC Discovery Project focused on mapping, measuring, and modeling mangrove responses to sea-level rise and climatic variability. With a strong commitment to advancing knowledge in coastal management and environmental processes, [he/she/they] employs state-of-the-art remote sensing technologies, field surveys, and remotely piloted aircraft (RPA) to study the dynamics of coastal ecosystems. Dr. Emma Asbridge is skilled in GIS and remote sensing software, programming in Python, and has substantial experience in managing and analyzing geospatial data.  research efforts have resulted in the successful acquisition of six grants over the past two years, alongside contributions to teaching and supervising multiple honors and PhD projects. is passionate about fostering a culturally inclusive research environment and is dedicated to building strong collaborations with governmental agencies and international partners to promote effective coastal governance.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award :

This candidate is an early career researcher specializing in remote sensing, spatial science, physical geography, and Earth and environmental geosciences. Their expertise includes utilizing advanced remote sensing techniques, such as field surveys and remotely piloted aircraft (RPA), to assess environmental dynamics in coastal ecosystems. Specifically, they focus on relationships between vegetation dynamics, sediment processes, geomorphology, hydrology, and climate change impacts. They have significant teaching and supervisory experience, guiding Honours, Masters, and Ph.D. projects, as well as a proven track record in securing research funding.

Education

  • Ph.D. in Earth and Environmental Geosciences
    University of Wollongong, Australia
  • Bachelor’s Degree in Remote Sensing and Spatial Science
    [Institution not specified]

Work Experience

  • Post-Doctoral Research Fellow
    School of Earth, Atmospheric and Life Sciences, University of Wollongong (UOW)
    April 2022 – Present

    • Leading the ARC Discovery Project: ‘Mapping, Measuring and Modelling Mangrove Response to Sea-Level Rise and Climatic Variability’.
    • Responsibilities include developing new approaches to mapping and modeling mangrove distribution, collaborating with government agencies, supervising research projects, and contributing to curriculum development.
  • Teaching Assistant
    Assisted in teaching, practical supervision, administration, and student evaluation.
    Supervised honours and PhD research projects.
  • Visiting Researcher
    Japanese Veterinary Medical Association, Tokyo, Japan
    Yamaguchi University, Yamaguchi, Japan

    • Conducted research related to large animal clinics and reproductive technologies.

Achievements

  • Successful integration of various spatial data types to analyze changes in mangrove environments.
  • Developed methodologies for measuring mangrove vertical elevation ranges.
  • Awarded 6 research grants (internal and external) over the past two years.
  • Completion of training focused on culturally responsive HDR supervision.

Publication top Notes:

Current Status of Remote Sensing for Studying the Impacts of Hurricanes on Mangrove Forests in the Coastal United States

Tidal Impoundment and Mangrove Dieback at Cabbage Tree Basin, NSW: Drivers of Change and Tailored Management for the Future

Synthesis of special feature —Tailored Restoration Response: Predictions And Guidelines For Wetland Renewal

Marine Vegetation Management Strategies: a framework for estuary wide prioritization of protection and rehabilitation

Characterising the impact of tropical cyclones on mangroves using a multi-decadal Landsat archive

Coastal wetland rehabilitation first-pass prioritisation for blue carbon and associated co-benefits

Assoc Prof Dr. Puhong Duan | Remote sensing Award | Young Scientist Award

Posted on by ScienceFather

Assoc Prof Dr. Puhong Duan | Remote sensing Award | Young Scientist Award

Assoc Prof Dr. Puhong Duan, Hunan University, China

Puhong Duan is an accomplished researcher and academic currently serving as an Associate Professor at the College of Electrical and Information Engineering, Hunan University, in Changsha, China. With a Ph.D. in Pattern Recognition and Intelligent Systems from Hunan University, which he completed in October 2021, Puhong has established himself as a leading expert in the fields of hyperspectral image classification, multi-source data fusion, and object detection. His academic journey began with a Bachelor’s degree in Mathematics and Statistics from Suzhou University, followed by a Master’s degree in Mathematics from Hefei University of Technology. Puhong’s career at Hunan University has seen a steady progression, starting as an Assistant Researcher in 2021, advancing to Associate Researcher in January 2023, and finally being appointed as an Associate Professor in April 2024. His research contributions have significantly advanced the understanding and application of intelligent systems in image processing and data fusion, making him a prominent figure in his field.

Professional Profile:

ORCID

Summary of Suitability for the Research for Young Scientist Award:

Dr. Puhong Duan is an accomplished researcher in the field of pattern recognition, intelligent systems, and remote sensing, with a specific focus on hyperspectral image classification, multi-source data fusion, and object detection. His academic background, including a Ph.D. from Hunan University, and his rapid progression through research and academic positions at Hunan University, showcase his dedication and expertise.

🎓 Education:

  • Ph.D. in Pattern Recognition and Intelligent System
    Hunan University, Changsha, China (Sep. 2017 – Oct. 2021)
  • M.S. in Mathematics
    Hefei University of Technology, Hefei, China (Sep. 2014 – May 2017)
  • B.S. in Mathematics and Statistics
    Suzhou University, Suzhou, China (Sep. 2009 – Jul. 2014)

💼 Working Experience:

  • Associate Professor
    Hunan University, Changsha, China (Apr. 2024 – Present)
  • Associate Researcher
    Hunan University, Changsha, China (Jan. 2023 – Mar. 2024)
  • Assistant Researcher
    Hunan University, Changsha, China (Nov. 2021 – Dec. 2022)

🔬 Research Interests:

  • Hyperspectral Image Classification 🌈
  • Multi-Source Data Fusion 🔗
  • Object Detection 🔍

Puhong Duan is a dedicated scholar and innovator in the field of pattern recognition and intelligent systems, focusing on advanced techniques like hyperspectral image classification and multi-source data fusion. His work significantly contributes to the progress of object detection technologies, pushing the boundaries of what’s possible in modern image analysis.

Publication top Notes:

Channel-Layer-Oriented Lightweight Spectral-Spatial Network for Hyperspectral Image Classification

Click-Pixel Cognition Fusion Network With Balanced Cut for Interactive Image Segmentation

EUAVDet: An Efficient and Lightweight Object Detector for UAV Aerial Images with an Edge-Based Computing Platform

A Robust Infrared and Visible Image Registration Method for Dual-Sensor UAV System

Edge-Guided Hyperspectral Change Detection

Feature Consistency-Based Prototype Network for Open-Set Hyperspectral Image Classification

Feature-Band-Based Unsupervised Hyperspectral Underwater Target Detection Near the Coastline