Mr. Zhibo Cui | Earth Monitoring | Best Researcher Award

Mr. Zhibo Cui | Earth Monitoring | Best Researcher Award 

Mr. Zhibo Cui, Tarim University, China

Zhibo Cui is a dedicated researcher specializing in sensor technology and remote sensing applications. He obtained his Bachelor’s degree in Agricultural Resources and Environment from the College of Agriculture at Tarim University in 2023 and is currently pursuing a Master’s degree in Resource Utilization and Plant Protection at the same institution. His research focuses on the advanced utilization of Sentinel-1/2 radar and optical sensors for environmental monitoring, particularly in soil organic carbon mapping. He has made significant contributions to multi-source remote sensing data fusion and has successfully enhanced mapping accuracy using super-ensemble models. His work, published in Remote Sensing, demonstrates his expertise in sensor data processing and analysis. With a strong foundation in innovation and teamwork, Zhibo Cui continues to push the boundaries of remote sensing technology for agricultural and environmental advancements.

Professional Profile:

ORCID

Suitability for Best Researcher Award 

Based on the provided information, Zhibo Cui demonstrates a strong research background in sensor technology and remote sensing applications, particularly in the monitoring of soil organic carbon using Sentinel-1/2 radar and optical sensors. His work focuses on sensor data processing, multi-source remote sensing data fusion, and high-accuracy mapping, which are relevant and impactful areas of study.

📚 Education:

  • 🎓 Bachelor’s Degree (Sep 2019 – Jun 2023) – Agricultural Resources and Environment, College of Agriculture, Tarim University
  • 📖 Master’s Degree (Jun 2023 – Present) – Resource Utilization and Plant Protection, College of Agriculture, Tarim University

💼 Work Experience:

  • 🔬 Researcher in Sensors & Remote Sensing – Focused on sensor data characteristics and multi-source remote sensing data fusion
  • 🛰 Expert in Sentinel-1/2 Radar & Optical Sensors – Applied advanced sensor technologies for soil organic carbon monitoring

🏆 Achievements:

  • 📡 Advanced Research in Remote Sensing – Unveiled complex correlations between Sentinel-1/2 data and soil organic carbon
  • 🌍 High-Precision Soil Organic Carbon Mapping – Led a project integrating environmental covariates with a super-ensemble model
  • Published Research – “High-Accuracy Mapping of Soil Organic Carbon by Mining Sentinel-1/2 Radar and Optical Time-Series Data with Super Ensemble Model” in Remote Sensing journal

🎖 Awards & Honors:

  • 🏅 Best Researcher Award Contender – Strong expertise in sensors, remote sensing, and innovative data analysis

Publication Top Notes:

High-Accuracy Mapping of Soil Organic Carbon by Mining Sentinel-1/2 Radar and Optical Time-Series Data with Super Ensemble Model

Dr. Li Qin | Monitoring Award | Best Researcher Award

Dr. Li Qin | Monitoring Award | Best Researcher Award 

Dr. Li Qin, Zhejiang Ocean University, China

Dr. Li Qin is a faculty member in the Department of Information Engineering at Zhejiang Ocean University, China. He earned his Ph.D. in Information and Communication Engineering from Dalian Maritime University in 2019, where he also completed his M.S. and B.S. degrees. He was a visiting Ph.D. student at the Cullen College of Engineering, University of Houston, from 2017 to 2018. Before joining Zhejiang Ocean University in 2024, he served as an associate research fellow and lecturer at Ningbo University and was a visiting scholar at Zhejiang University. His research focuses on information engineering and related technologies.

Professional Profile:

ORCID

Suitability of Li Qin, Ph.D., for the Best Researcher Award

Dr. Li Qin demonstrates a strong academic background and research experience in the field of Information and Communication Engineering. His contributions to multidisciplinary research, particularly in marine science, engineering, and tunnel lighting systems, highlight his diverse expertise. Below is an evaluation based on key award criteria:

📚 Education

🎓 Ph.D. in Information and Communication Engineering (Mar. 2015 – Jan. 2019)
🔹 Dalian Maritime University, China

🎓 Visiting Ph.D. Researcher (Sept. 2017 – Sept. 2018)
🔹 Cullen College of Engineering, University of Houston, TX, USA

🎓 M.S. in Electronic Science and Technology (Sept. 2013 – Mar. 2015)
🔹 Dalian Maritime University, China

🎓 B.S. in Electronic Information Science and Technology (Sept. 2009 – July 2013)
🔹 Dalian Maritime University, China

🏢 Professional Experience

👨‍🏫 Lecturer (June 2024 – Present)
🔹 Department of Information Engineering, Zhejiang Ocean University, China

🧑‍🔬 Associate Research Fellow (Dec. 2022 – May 2024)
🔹 Department of Information Science and Engineering, Ningbo University, China

🎓 Visiting Scholar (Sept. 2022 – Sept. 2023)
🔹 Ocean College, Zhejiang University, China

👨‍🏫 Lecturer (Jan. 2019 – Dec. 2022)
🔹 Department of Information Science and Engineering, Ningbo University, China

🏆 Achievements, Awards & Honors

🌟 Outstanding Research Contribution – Recognized for significant contributions to Information and Communication Engineering
📜 Published Multiple Research Papers – Articles in prestigious SCI/EI-indexed journals
🏅 Government and Institutional Grants – Secured funding for various research projects
🔬 Key Research Areas – Wireless Communications, Signal Processing, Ocean Information Engineering

Publication Top Notes:

Actual Truck Arrival Prediction at a Container Terminal with the Truck Appointment System Based on the Long Short-Term Memory and Transformer Model

Proposal for a Calculation Model of Perceived Luminance in Road Tunnel Interior Environment: A Case Study of a Tunnel in China

Comparative Study of Energy Savings for Various Control Strategies in the Tunnel Lighting System

Use of Pupil Area and Fixation Maps to Evaluate Visual Behavior of Drivers inside Tunnels at Different Luminance Levels—A Pilot Study

Dynamic luminance tuning method for tunnel lighting based on data mining of real-time traffic flow

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

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