Mr. Donatien Agbissoh Otote | Geomatics Engineering | Young Scientist Award

Mr. Donatien Agbissoh Otote | Geomatics Engineering | Young Scientist Award

Mr. Donatien Agbissoh Otote , Universidad PolitΓ©cnica de Madrid , Spain.

Mr. Donatien Agbissoh Otote is a passionate researcher and Ph.D. candidate in Geomatics Engineering at the Polytechnic University of Madrid πŸŽ“. With expertise in maritime search and rescue 🚒, offshore platform safety πŸ›’οΈ, climate change 🌍, and international risk management 🌐, Donatien combines advanced skills in geospatial data analysis, disaster risk management, and digital mapping πŸ“Š. Fluent in French and English πŸ—£οΈ, he is proficient in GIS technologies like ArcGIS and remote sensing tools πŸ›°οΈ, leveraging his strong programming skills in Python and C# to support environmental and security-focused projects. His multidisciplinary approach empowers innovative solutions for global safety and resilience challenges.

Professional Profile

Orcid

Education and Experience

  • πŸŽ“ Ph.D. Geomatics Engineering, Polytechnic University of Madrid (2022-2025)

  • πŸŽ“ M.S. Civil and Environmental Engineering, Shandong University of Science and Technology (2016-2019)

  • πŸŽ“ B.A. Geography, University of Kara (2010-2014)

  • πŸ›°οΈ Experience in geospatial data collection, spatial analysis, and disaster risk management

  • πŸ“ˆ Skilled in database development and visualization using ArcGIS Dashboard and Tableau

  • 🚚 Managed vehicle tracking platforms with GPS technology

  • πŸ› οΈ Provided training in GIS and digital data collection tools including ArcGIS Collector and Survey123

Summary Suitability

Mr. Donatien Agbissoh Otote, an emerging leader and Ph.D. candidate in Geomatics Engineering at the Polytechnic University of Madrid, is a distinguished young scientist with expertise in maritime search and rescue planning, offshore platform safety, climate change adaptation, and international risk management.His expertise lies in advanced geospatial data collection, spatial analysis, disaster risk assessment, and the development of sophisticated geospatial databases and visualization tools. Donatien combines technical innovation with practical applications to address urgent challenges in environmental safety and climate resilience. He is a highly deserving nominee for the Young Scientist Award due to his impactful interdisciplinary research and leadership in geospatial sciences.

Professional DevelopmentΒ 

Mr. Donatien has continuously enhanced his expertise through multiple certifications and trainings 🌟. He earned the Risk Management and Security certificate (08/2024) πŸ›‘οΈ, and completed programming courses including Object-Oriented Design (12/2023) πŸ’» and Python Introduction (01/2023) 🐍. His specialization in geospatial technology for fragile contexts (12/2023) 🌐, oil pollution preparedness (06/2023) πŸ›’οΈ, and satellite imagery analysis for crisis assessment (07/2022) πŸ›°οΈ, reflects his commitment to practical applications in disaster management. He also holds certificates in Information Security (04/2022) πŸ” and drought risk reduction (04/2022) 🌱, ensuring a broad, multidisciplinary skillset.

Research FocusΒ 

Mr. Donatien’s research centers on Maritime Search and Rescue 🚀, Offshore Platform Safety πŸ›’οΈ, Climate Change Adaptation 🌑️, and International Risk Management 🌍. His work integrates geospatial technologies and spatial analysis to improve emergency response and disaster risk reduction 🚨. By leveraging GIS, remote sensing πŸ›°οΈ, and satellite data, he develops effective models to monitor environmental changes and offshore hazards. His focus on climate change effects ties into sustainable safety planning and international cooperation 🀝, making his research highly relevant for policy-makers and disaster management agencies worldwide.

Awards and HonorsΒ 

  • πŸ… UNDP-UNOSAT Certificate: Satellite Imagery Analysis for Crisis Assessments (07/2022)

  • πŸŽ–οΈ United Nations Certificate: Information Security Awareness (04/2022)

  • πŸ† CIMA Foundation Certificate: Risk Assessment and Mapping (12/2021)

  • πŸ“œ Cap.net Certificate: Drought Risk Reduction in IWRM (04/2022)

  • 🌍 Various specialized training certificates in oil pollution, programming, and geospatial technology

Publication Top Notes

  1. Cognitive and Spatial Forecasting Model for Maritime Migratory Incidents: SIFM

    • Type: Journal Article

    • Date: 2025-05-20

    • Journal: Forecasting

    • DOI: 10.3390/forecast7020021

    • Contributors: Donatien Agbissoh Otote, Antonio VΓ‘zquez Hoehne

    • Summary: This article presents a cognitive and spatial forecasting model designed to predict maritime migratory incidents, supporting decision-making in search and rescue operations.

  2. A Decision-Making Algorithm for Maritime Search and Rescue Plan

    • Type: Journal Article

    • Date: 2019-04

    • Journal: Sustainability

    • DOI: 10.3390/su11072084

    • Contributors: Donatien Otote, Benshuai Li, Bo Ai, Song Gao, Jing Xu, Xiaoying Chen, Guannan Lv

    • Summary: This paper develops an algorithm to optimize decision-making processes within maritime search and rescue plans, improving operational efficiency.

  3. Cognitive Optimization Techniques of Spatio-Temporal Dynamic Map

    • Type: Journal Article

    • Date: 2018-09

    • Journal: Journal of Physics: Conference Series

    • DOI: 10.1088/1742-6596/1087/6/062050

    • ISSN: 1742-6588, 1742-6596

    • Contributor: Donatien Otote

    • Summary: This research discusses optimization techniques for spatio-temporal dynamic mapping to enhance cognitive understanding and decision support in spatial contexts.

Conclusion

Mr. Donatien Agbissoh Otote exemplifies the qualities of an exceptional young scientist through his innovative research and practical contributions to geospatial risk management and maritime safety. His ability to integrate advanced technology with real-world applications positions him as a leading candidate for the Young Scientist Award. This recognition would highlight his potential to drive future scientific advancements addressing climate change and safety challenges worldwide.

Mr.Qi Li | Remote Sensing | Best Researcher Award

Mr.Qi Li | Remote Sensing | Best Researcher Award

Mr. Qi Li , Guangxi University of Science and Technology , China.

Mr. Qi Li is a Senior Engineer at the School of Civil and Architectural Engineering, Guangxi University of Science and Technology πŸ—οΈ. With a Ph.D. in Energy Physics from the University of La RΓ©union πŸ‡«πŸ‡·, his work integrates remote sensing, 3D modeling, and artificial intelligence πŸŒπŸ›°οΈ. Qi has led and participated in multiple key research projects in agriculture, architecture, and water monitoring technologies πŸ’‘. A passionate innovator, he holds a national patent for drone-based image acquisition 🚁 and has received prestigious recognition for his scientific contributions πŸ†. Qi is committed to advancing smart surveying and modeling systems for real-world applications 🌐.

Publication Profile

Scopus

Education & ExperienceΒ 

πŸ“š Education
  • πŸŽ“ Ph.D. in Energy Physics, University of La RΓ©union, France (Apr. 2014 – Jul. 2018)

  • πŸŽ“ Master’s in Photogrammetry & Remote Sensing, Northeastern University (Sep. 2008 – Aug. 2010)

  • πŸŽ“ Bachelor’s in Geomatics Engineering, Shijiazhuang Tiedao University (Sep. 2004 – Aug. 2008)

πŸ’Ό Experience
  • πŸ‘¨β€πŸ« Senior Engineer, Guangxi University of Science and Technology (Nov. 2020 – Present)

  • 🏒 Engineer, Jiangmen Municipal Group Co., Ltd. (Aug. 2018 – Oct. 2020)

  • πŸ§ͺ Engineer, LE2P, University of La RΓ©union (Apr. 2014 – Jul. 2018)

  • πŸ—ΊοΈ Engineer, China Water Resources Pearl River Survey & Design Co., Ltd. (Sep. 2010 – Mar. 2014)

Suitability Summary

Mr. Qi Li, Senior Engineer at Guangxi University of Science and Technology, is a highly qualified nominee for the Best Researcher Award πŸ…. With a Ph.D. in Energy Physics from the University of La RΓ©union and over a decade of multidisciplinary experience, he has made significant contributions to the fields of remote sensing, 3D modeling, geospatial monitoring, and artificial intelligence. His research uniquely bridges advanced technology and civil engineering, earning him national recognition, including prestigious awards and competitive project funding. His leadership, innovation, and scholarly impact make him a standout candidate for this honor.

Professional Development

Mr. Qi Li is consistently advancing his technical skill set and research scope through leadership in major R&D projects in Guangxi Province πŸš€. His professional development is marked by his principal investigator roles in initiatives focused on remote sensing fusion, 3D modeling, and ancient architecture scanning πŸ“‘πŸ›οΈ. Qi is engaged in interdisciplinary collaborations and capacity-building efforts for young faculty πŸ‘¨β€πŸ”¬. With a strong foundation in geospatial sciences and engineering, he brings innovation to civil infrastructure monitoring and environmental analysis πŸŒ³πŸ—οΈ. His ongoing dedication is reflected in his continuous contributions to academic publications, technology innovation, and advanced survey methodologies πŸ“˜πŸ”¬.

Research FocusΒ 

Mr. Qi Li’s research focuses on intelligent surveying, 3D reconstruction, and multispectral remote sensing πŸ“·πŸŒˆ. He explores the fusion of AI with spatial data technologies to enhance precision in agriculture, ancient architecture modeling, and environmental monitoring πŸ§ πŸ›°οΈπŸŒ±. His recent work involves integrating channel attention mechanisms and multi-feature networks for agricultural classification and creating real-scene 3D monitoring systems πŸžοΈπŸ—ΊοΈ. Qi is also delving into hyperspectral imaging for detecting rural water pollution πŸ’§πŸŒΎ. His innovative solutions address complex challenges in geomatics, providing technical pathways for smart city and environmental applications πŸŒ†πŸ“Š.

Awards & HonorsΒ 

πŸ… Awards & Recognitions

  • πŸ₯ˆ Second Prize, Scientific and Technological Progress in Geographic Information Science – China Association for Geographic Information Systems (2024)

  • πŸ›©οΈ Patent: “A Drone for Dockable Image Acquisition”, Patent No. 202320347267.2 (Sep. 8, 2023)

Publication Top Notes

  • Title: Bridge crack detection algorithm designed based on YOLOv8
    Authors: Haibo Xia, Qi Li, Xian Qin, Wenbin Zhuang, Haotian Ming, Xiaoyun Yang, Yiwei Liu
    Journal: Applied Soft Computing
    Year: 2025
    Volume: 171
    Article Number: 112831
    DOI: [To be added if available – usually in the final published version]
    Role of Qi Li: πŸ§‘β€πŸ”¬ Sole Corresponding Author
  • πŸ“ Refined 3D Modeling of Complex Models Based on Stereo Vision
    πŸ‘¨β€πŸ”¬ Authors: Haotian Ming, Qi Li, Haibo Xia, Peng Li
    πŸ“˜ Journal: IEEE Access, 2024, Vol. 12, pp. 93487–93501
    🎯 Role of Qi Li: β‘£ Sole Corresponding Author

  • πŸ“ Snow-CLOCs: Camera-LiDAR Object Candidate Fusion for 3D Object Detection in Snowy Conditions
    πŸ‘¨β€πŸ”¬ Authors: Xiangsuo Fan, Dachuan Xiao, Qi Li, Rui Gong
    πŸ“˜ Journal: Sensors, 2024, Vol. 24(13), Article No. 4158
    🎯 Role of Qi Li: β‘£ Sole Corresponding Author

  • πŸ“ Intermittency study of global solar radiation under a tropical climate: case study on Reunion Island
    πŸ‘¨β€πŸ”¬ Authors: Qi Li, Peng Li
    πŸ“˜ Journal: Scientific Reports, 2021, Vol. 11(1), Article No. 12188
    🎯 Role of Qi Li: β‘‘ Sole First Author

  • πŸ“ Research on Bridge Crack Detection Technology
    πŸ‘¨β€πŸ”¬ Authors: Xian Qin, Ming Huang, Qi Li
    πŸ“˜ Journal: Bulletin of Surveying and Mapping, 2024, S2: pp. 28–31
    🎯 Role of Qi Li: β‘£ Sole Corresponding Author

Conclusion

Mr. Qi Li stands out as a trailblazing researcher whose interdisciplinary work has significantly advanced the integration of artificial intelligence, geospatial science, and environmental engineering. His innovative contributions, strong academic presence, and impactful real-world applications make him an ideal and deserving recipient of the Best Researcher Award. His continued efforts promise to drive meaningful change in the fields of smart infrastructure, environmental monitoring, and digital surveying. πŸŒŸπŸ“‘πŸ› οΈ