Mrs. Dinara Talgarbaeva | Remote Sensing | Top Researcher Award

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Mrs. Dinara Talgarbaeva | Remote Sensing | Top Researcher Award

Mrs. Dinara Talgarbaeva | Remote Sensing | Institute of Ionosphere | Kazakhstan

Mrs. Dinara Talgarbayeva is an accomplished Senior Researcher at the Institute of Ionosphere, Almaty, Kazakhstan, whose expertise lies in satellite-based geodynamic monitoring, InSAR technology, Sarscape data analysis, and GIS analytics. She holds both a Bachelor’s and a Master’s degree in Geology from Satbayev University, Kazakhstan, where she developed her foundational understanding of geological processes and earth observation systems. Over the course of her career, Mrs. Talgarbayeva has built a solid professional portfolio focused on applying remote sensing techniques to study geological deformations, land subsidence, and mineral exploration. Her research integrates Sentinel-1 SAR data, digital elevation models, and lineament analysis to provide accurate insights into seismic hazards and geodynamic changes in Kazakhstan and other Central Asian regions. As a dedicated scientist, she actively collaborates with multidisciplinary teams and international researchers, contributing to innovative solutions in geodesy, environmental monitoring, and mineral mapping. Her research interests are centered around earth observation, geodynamic zoning, natural hazard detection, and data-driven modeling for sustainable resource management. Mrs. Talgarbayeva possesses advanced research skills in SAR interferometry, GIS processing, multispectral analysis, and automation of geological data interpretation using satellite imagery, enabling her to produce reliable and scalable models for terrain deformation and subsidence assessment. She has demonstrated consistent excellence through her participation in numerous high-impact studies and has published multiple research papers in prestigious peer-reviewed journals such as Minerals, Geomatics, Engineered Science, and Reliability Theory and Applications, all indexed in Scopus and IEEE. These publications reflect her growing academic influence and her ability to translate complex scientific data into actionable insights.

Professional Profile: ORCID | Scopus

Selected Publications 

  1. Talgarbayeva, D., Satbergenova, A., Vilayev, A., Urazaliyev, A., & Yelisseyeva, A. (2025). InSAR-based assessment of land subsidence induced by coal mining in Karaganda, Kazakhstan. Geomatics, 5(4). [Cited by 12]

  2. Talgarbayeva, D., Serikbayeva, E., Orynbassarova, E., & Sydyk, N. (2025). Application of multispectral data in detecting porphyry copper deposits: The case of Aidarly Deposit, Eastern Kazakhstan. Minerals, 15(9). [Cited by 9]

  3. Talgarbayeva, D., Vilayev, A., Serikbayeva, E., & Ahmadi, H. (2025). Integrated prospectivity mapping for copper mineralization in the Koldar Massif, Kazakhstan. Minerals, 15(8). [Cited by 11]

  4. Talgarbayeva, D., Kairanbayeva, A., Nurakynov, S., & Mitkov, A. (2024). Predictive system for road condition monitoring based on open climate and remote sensing data – A case study with mountain roads. Engineered Science, 8(2). [Cited by 7]

  5. Talgarbayeva, D., Fremd, A., & Gaipova, A. (2023). Possibilities of lineament analysis of DEM SRTM during geodynamic zoning of seismic hazardous territories (on the example of the North-Tien-Shan region). Reliability Theory and Applications, 5(75), 96–110. [Cited by 5]

Mr. Faruk Hossain | Remote Sensing | Best Researcher Award

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Mr. Faruk Hossain | Remote Sensing | Best Researcher Award 

Mr. Faruk Hossain | Geological Survey of Bangladesh | Bangladesh

Faruk Hossain is a highly accomplished geoscientist and Assistant Director (Geology) at the Geological Survey of Bangladesh, specializing in fluvial and tectonic geomorphology, active fault identification, and 3D subsurface geological modeling. With a deep commitment to advancing geoscience research, he integrates field investigations, laboratory analysis, and advanced geospatial technologies to address pressing geological and environmental challenges. His expertise extends to geohazard assessment, seismic risk analysis, and the application of remote sensing and GIS in sustainable development and climate resilience. Faruk’s work contributes significantly to disaster risk reduction, sustainable urban planning, and resource management, positioning him as a leading expert in geohazard mitigation and environmental sustainability.

Professional Profile

ORCID

Summary of Suitability

Faruk Hossain is a dedicated and skilled geoscientist whose expertise spans fluvial and tectonic geomorphology, active fault identification, geohazard assessment, and 3D subsurface modeling. His research contributes directly to addressing critical issues such as seismic hazards, landslides, riverbank erosion, and climate adaptation, making his work highly relevant to sustainable development and disaster resilience.

Education

He holds an M.Sc. in Engineering Geology from Universiti Kebangsaan Malaysia, where his research focused on landslide density analysis using GIS in the Cameron Highlands, building a strong foundation in geohazard investigation, engineering geology, and geotechnical engineering. He also earned an M.Sc. in Petroleum Geology and Geophysics from the University of Dhaka, gaining expertise in petroleum system evaluation, reservoir geology, and exploration geophysics. His academic journey began with a B.Sc. (Hons) in Geology from the University of Dhaka, covering a broad range of earth sciences disciplines including geomorphology, hydrogeology, sedimentology, and engineering geology. This multidisciplinary education has equipped him with the theoretical knowledge and practical skills necessary to address complex geological and environmental challenges.

Experience

Faruk has extensive professional experience in geological mapping, fluvial system analysis, morphometric studies, and basin hydrological assessments. His technical capabilities encompass remote sensing data analysis, geomorphological mapping, structural trend interpretation, and landslide susceptibility modeling using advanced methodologies such as the Analytical Hierarchy Process and Weighted Overlay Method. He is proficient in hydrological modeling, change detection analysis of river systems, and the creation of thematic maps for hazard assessment and resource planning. His work often involves integrating field data with spatial analysis tools to produce 3D subsurface lithological models, enabling more accurate hazard predictions and geological interpretations. Beyond field and analytical work, he has contributed to the development of engineering geological project databases, improving data accessibility and management for large-scale projects.

Research Interests

His research interests center on fluvial and tectonic geomorphology, active tectonics, and the interplay between geological processes and environmental hazards. He is deeply engaged in studying mountain hazards such as landslides, debris flows, and glacial lake outburst floods, as well as riverbank erosion and floodplain dynamics. Faruk is also interested in the application of remote sensing indices for environmental monitoring, climate risk assessment, and sustainable resource use. His focus on 3D subsurface modeling supports both academic research and applied solutions for infrastructure development, hazard mitigation, and land-use planning in geologically sensitive areas.

Awards

Faruk has been recognized for his contributions to geoscience research, hazard mapping, and sustainable development practices. His awards reflect his innovative approaches to geological problem-solving, his leadership in applying geospatial technologies for hazard assessment, and his dedication to promoting climate adaptation strategies. These honors highlight his ability to translate scientific expertise into practical applications that benefit both communities and policy-making bodies.

Publication Top Notes

Fluvio-geomorphic change of the Padma-Meghna river course using the NDWI and MNDWI techniques

Digital Elevation Modeling Of Saint Martin Island, Bangladesh: A Method Based On Open Source Google Earth Data

The Sikkim flood of October: drivers, causes and impacts of a multi-hazard cascade

Conclusion

Faruk Hossain exemplifies the integration of scientific rigor, technological innovation, and practical application in the field of geoscience. His multidisciplinary expertise, from hazard assessment to 3D geological modeling, addresses critical environmental and societal needs, particularly in regions prone to natural disasters and climate-related risks. By combining field-based observations with advanced remote sensing and GIS methodologies, he delivers data-driven solutions for sustainable land use, disaster preparedness, and resource management. His track record of publications, professional achievements, and recognized contributions make him an outstanding candidate for awards honoring excellence in geoscience and environmental sustainability.

 

Dr. Xiaofei Yang | Remote Sensing Awards | Best Researcher Award

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Dr. Xiaofei Yang | Remote Sensing Awards | Best Researcher Award

Dr. Xiaofei Yang, Guangzhou University, China

Dr. Xiaofei Yang is a lecturer at the School of Electronic and Communication Engineering, Guangzhou University, with a strong research background in artificial intelligence, remote sensing, image classification, and deep learning. He earned his Ph.D. in Computer Software and Theory from Harbin Institute of Technology in 2019 and completed postdoctoral research at the University of Macau, where he focused on hyperspectral image classification and 3D image reconstruction. Dr. Yang has authored 27 peer-reviewed publications, including 11 in IEEE Transactions journals—six as first author—and two Web of Science highly cited papers. His work has been presented at prestigious international conferences such as IJCNN, and he actively serves as a reviewer for top-tier journals including IEEE TGRS and TNNLS. His recent projects span cloud detection, terrain classification, plant disease diagnosis, and typhoon path prediction using deep learning. Recognized with the Innovation Scholarship by the Ministry of Industry and Information Technology in 2019, Dr. Yang continues to contribute to cutting-edge research in remote sensing and AI applications.

Professional Profile:

SCOPUS

ORCID

Summary of Suitability: Dr. Xiaofei Yang – Research for Best Researcher Award

Dr. Xiaofei Yang is an outstanding candidate for the Research for Best Researcher Award, recognized for his impactful contributions to artificial intelligence, remote sensing, and deep learning applications. With a strong academic foundation from the Harbin Institute of Technology and advanced research experience as a postdoctoral fellow at the University of Macau, Dr. Yang has emerged as a leading figure in intelligent image processing and computational modeling.

🎓 Education

  • Ph.D. in Computer Software and Theory
    Harbin Institute of Technology, Shenzhen, China
    March 2014 – October 2019

  • M.Sc. in Computational Mathematics
    Harbin Institute of Technology, Shenzhen, China
    August 2011 – January 2014

💼 Work Experience

  • Lecturer, Guangzhou University, China 🇨🇳
    March 2023 – Present

  • Postdoctoral Fellow, University of Macau 🇲🇴
    September 2021 – February 2023

    • Focus: Hyperspectral image classification using deep learning

  • Trainee, Zhuhai-UM Institute
    May 2021 – August 2021

    • Research on hyperspectral image classification

  • Postdoctoral Fellow, University of Macau
    September 2020 – April 2021

    • Research on 3D image reconstruction

  • Trainee, Peng Cheng Laboratory, Shenzhen 🇨🇳
    October 2019 – August 2020

    • Developed new open-source algorithm for image processing

🏆 Achievements

  • 📄 27+ publications in top journals and conferences, including:

    • 11 IEEE Transactions papers (6 as first author)

    • 2 papers highly cited by Web of Science

  • 🧠 Expert in:

    • Artificial Intelligence

    • Hyperspectral Image Classification

    • Remote Sensing

    • Deep Learning and Transformer Networks

  • 🗣️ Conference Presentations:

    • IJCNN 2019 (Hungary)

    • GSKI 2017 (Thailand)

  • 👨‍🏫 Teaching:

    • Courses at the University of Macau Master’s Program in deep learning and computer vision

  • 📚 Peer Reviewer for Top Journals:

    • IEEE TNNLS, TGRS, GRSL, Signal Processing Letters, and more

🥇 Awards & Honors

  • 🏅 Innovation Scholarship, Ministry of Industry and Information Technology (2019)

  • 🎓 Outstanding Graduate Student, Harbin Institute of Technology (2014)

Publication Top Notes:

Balancing supply and demand for ride-hailing: A preallocation hierarchical reinforcement learning approach

Global–local prototype-based few-shot learning for cross-domain hyperspectral image classification

MDFFN: Multi-Scale Dual-Aggregated Feature Fusion Network for Hyperspectral Image Classification

Spectral-Spatial Attention Transformer Network for Hyperspectral Image Classification

ACTN: Adaptive Coupling Transformer Network for Hyperspectral Image Classification

 

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)