Ms. Oumayma Sadgui | Remote Sensing Awards | Women Researcher Award

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Ms. Oumayma Sadgui | Remote Sensing Awards | Women Researcher Award 

Ms. Oumayma Sadgui, IAV Hassan II, Morocco,

Oumayma Sadgui is a Water and Forest Engineer currently working in Ifrane National Park and pursuing her Ph.D. at IAV Hassan II, specializing in Natural Resources Economics and Environment. With a rich educational background, she holds a State Engineer diploma in forestry economics from the National School of Forest Engineers (ENFI), along with diplomas in general forestry and agronomy. Since 2022, she has been actively involved with the National Water and Forests Agency and the IMU of the PLAR project, focusing on ecotourism development in Ifrane National Park. Oumayma has field experience in surveys, socio-economic and ecological diagnoses, forest inventories, and vegetation studies. She is skilled in statistical data analysis using SPSS, digital cartography (GIS), and remote sensing. Her work is complemented by her ability to lead workshops and training sessions.

Professional Profile:

ORCID

GOOGLE SCHOLAR

Suitability of Oumayma Sadgui for the Research for Women Researcher Award

Academic and Research Background:
Oumayma Sadgui’s strong academic and research background, particularly in natural resources economics and environmental sustainability, makes her a suitable candidate for the award. She holds a Ph.D. candidacy at IAV Hassan II in Natural Resources Economics and has completed significant research on ecosystem services, hydrologic systems, and forest economics. Her focus on economic evaluations of ecosystem services within protected areas like Ifrane National Park demonstrates a clear commitment to research on sustainable development and environmental conservation.

Education

  • 2021-2024: PhD Candidate in Natural Resources Economics and Environment at IAV Hassan II.
  • 2019-2021: State Water and Forest Engineer Diploma, specializing in Forestry Economics from ENFI (National School of Forest Engineers).
  • 2017-2019: Diploma in General Forestry from ENFI.
  • 2015-2017: Two years of preparatory cycle in Agronomy at ENAM.
  • 2014-2015: Baccalaureate (Very Good Honors) in Life and Earth Sciences from Maarabat Boudnib Errachidia High School.

Professional Experience

  • Since 2022: Engineer at the National Water and Forests Agency, involved in the PIAR Project for ecotourism development in Ifrane National Park.
  • 2021: End of study dissertation on the Economic Evaluation of Ecosystem Services in the Toubkal National Park.
  • 2019: Summer Internship at the Provincial Direction of Water and Forests in Casablanca. Participated in an integrated development project in the Ben Slimane region and a multidisciplinary tour in the Middle Atlas and Rif.
  • 2018: Summer Internship at the Regional Direction of Water and Forests in the Middle Atlas. Participated in a multidisciplinary tour in the Middle Atlas and East.
  • 2014: Internship on a farm in Errachidia Province.

Publication top Notes:

Economic Assessment of Hydrologic Ecosystem Services in Morocco’s Protected Areas: A Case Study of Ifrane National Park

Economic Assessment of Hydrologic Ecosystem Services in Morocco’s Protected Areas: A Case Study of Ifrane National Park

Evaluation and Mapping of Carbon Sequestration Service in Morocco’s Protected Areas : A case study of Ifrnae National Park

Hydrologic Ecosystem Services values in Morocco’s Protected Areas: A Case Study of Ifrane National Park

Impact of land use dynamics on ecosystem services in Ifrane National Park (INP)

 

 

 

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

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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

 

Dr. Peng Zhou | Satellite Imaging | Best Researcher Award

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Dr. Peng Zhou | Satellite Imaging | Best Researcher Award 

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.

Professional Profile:

ORCID

 

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”

R-MFNet: Analysis of Urban Carbon Stock Change against the Background of Land-Use Change Based on a Residual Multi-Module Fusion Network

The Simulated Source Apportionment of Light Absorbing Aerosols: Effects of Microphysical Properties of Partially‐Coated Black Carbon

Dr. Adolph Nyamugama | Remote Sensing | Best Researcher Award

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Dr. Adolph Nyamugama | Remote Sensing | Best Researcher Award 

Dr. Adolph Nyamugama, Agricultural Research Council, South Africa

Dr. Adolph Nyamugama is an accomplished environmental geographer with a strong academic background, holding a PhD in Environmental Geography with a focus on the application of remote sensing in environmental monitoring. He completed his MSc in Geographical Information Systems & Cartography and his BSc Honors in Geography at Enrique Jose Varona University in Havana, Cuba. Dr. [Your Name] is fluent in English, Spanish, Shona, and Mandarin, and enjoys traveling and watching soccer in his spare time.Currently serving as a Senior Researcher at the Agricultural Research Council in Pretoria since January 2015, Dr. Adolph Nyamugama has excelled in strategic planning, operations management, research, and business development. He has successfully led the crop estimation project, generating R10 million annually, and introduced innovative spatial technology for crop disease monitoring. His expertise extends to stakeholder management, where he has fostered strong relationships with clients, peer organizations, and international partners.

Professional Profile

📚 Education

PhD in Environmental Geography
📅 Feb 2009 – Apr 2013
🎓 Focus: Application of Remote Sensing in Environmental Monitoring

MSc in Geographical Information Systems & Cartography
📅 Sep 2001 – Jul 2005

BSc Honors in Geography
📅 Sep 1993 – Jul 1998
🎓 Enrique Jose Varona University, Havana, Cuba

💼 Employment

Senior Researcher
📅 Jan 2015 – Present
📍 Agricultural Research Council, Pretoria

  • Strategic Planning: Developed team strategies aligning with organizational goals, participated in strategy development, monitored delivery, and provided strategic advice on revenue generation.
  • Operations Management: Directed crop estimation using drones and GIS, including project planning, KPI development, human/financial resource management, and milestone monitoring.
  • Research: Led multidisciplinary research projects, managed data collection/analysis, published reports/articles, and maintained spatial datasets.
  • Business Development: Created business strategies for revenue generation and long-term sustainability, drove marketing initiatives, and promoted services/products.

Senior GIS Consultant
📅 Jan 2011 – Dec 2013
📍 Kanimambo Cosmos Engineering Company, Cape Town City Council

  • Managed all GIS functions and monitored project work by technicians.
  • Provided GIS support for database-related issues and ensured mapping standards adherence.
  • Controlled mapping standards, reported on GIS aspects, and ensured timely completion of documents.
  • Managed, developed, and maintained spatial databases.

🏆 Achievements

  1. Crop Estimation Project: Successfully implemented a national project, generating at least R10 million annually.
  2. Spatial Technology for Crop Disease Detection: Introduced NRF-funded project for detecting and monitoring crop diseases.
  3. GIS Tools for Data Analysis: Implemented GIS tools for data analysis in various organizations.
  4. Intern Funding and Department Capacitation: Secured funding for interns to support departmental strategic objectives.
  5. SENTI2 Agri-System SA Demonstration Project: Led ARC-Catholic University collaboration on an Uncloud-ESA funded project.
  6. United Nations Convention to Combat Desertification: Appointed as an Independent Expert and Country Representative.

Publications Notes:📄

Integrating Sigmoid Calibration Function into Entropy Thresholding Segmentation for Enhanced Recognition of Potholes Imaged Using a UAV Multispectral Sensor

Radiometric Compensation for Occluded Crops Imaged Using High-Spatial-Resolution Unmanned Aerial Vehicle System

Irrigation Scheduling for Small-Scale Crops Based on Crop Water Content Patterns Derived from UAV Multispectral Imagery

Prospects of Improving Agricultural and Water Productivity through Unmanned Aerial Vehicles