Mr. Namwinwelbere Dabire | Watershed | Best Researcher Award 

Mr. Namwinwelbere Dabire, Université Abomey Calavi, Benin

Namwinwelbere Dabire is a Ph.D. candidate in Water Engineering and Applications at the University of Abomey-Calavi, Benin. With a strong interdisciplinary background in computer science and hydrology, he holds a Master’s degree in Software Engineering and Information Systems, an Engineering degree in Hydrology, and a Bachelor’s degree in Information Systems and Telecommunications from Joseph Ki Zerbo University in Burkina Faso. His research bridges Artificial Intelligence and Environmental Sciences, focusing on machine learning, deep learning, climate change, hydrological modeling, flood frequency analysis, and water resources management. He has published multiple scientific papers, including recent works on water quality and level prediction of Lake Nokoué using advanced AI models like random forests and LSTM networks. Namwinwelbere has participated in prominent international conferences such as the WCRP Open Science Conference and the Climate Informatics Conference. As an educator, he has taught a wide range of subjects from AI and data mining to hydrometeorology and watershed hydrology. His technical expertise spans Python, R, and GIS tools like QGIS. Fluent in French and proficient in English, he is committed to contributing to sustainable water management and climate adaptation strategies in West Africa and beyond.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Namwinwelbere Dabire is a highly multidisciplinary and impactful researcher whose work spans Artificial Intelligence, Climate Change, Hydrology, and Remote Sensing. His unique integration of Machine Learning with Water Engineering solutions places him at the cutting edge of applied environmental science and data-driven hydrological modeling, making him an excellent candidate for the Best Researcher Award.

🎓 Education

• 📘 Ph.D. Candidate in Water Engineering and Applications (2021–2024)
  University of Abomey Calavi, Benin

• 💻 Master’s Degree in Computer Science – Software Engineering & Information Systems (2018)
  Joseph Ki Zerbo University, Burkina Faso

• 💧 Engineering Degree in Hydrology (2020)
  AGRHYMET Regional Center, Niamey, Niger

• 📡 Bachelor’s Degree in Science & Technology – Information Systems and Telecommunications (2015)
  Joseph Ki Zerbo University, Burkina Faso

• 🧪 Scientific Baccalaureate, Series D (2011)
  Provincial High School of Diebougou, Burkina Faso

💼 Teaching & Work Experience

• 🧠 Lecturer & Trainer in:

  • Artificial Intelligence (Machine Learning & Deep Learning)

  • Data Mining & Programming

  • Hydrology, Hydro-meteorology & Water Resources Management
    (Various academic institutions & training projects)

• 🌍 Trainer for specialized programs:

  • Flood Risk Mapping using Geospatial Tech – 2iE (Oct 2023)

  • Hydrological Modeling Training – PAEA Project (Sep 2023)

🏆 Achievements, Awards & Honors

• 🌐 International Conference Presenter:

  • HydroML 2023 (Berkeley Lab)

  • World Climate Research Program (Rwanda, Oct 2023)

  • 13th Int. Conference on Climate Informatics (London, Apr 2024)

• 📝 Publications:

  • IJAR (2024): Water Quality Index of Lake Nokoué using ML

  • Hydrology (2024): LSTM-based Lake Nokoué water level forecasting

  • EJEES (2022): Study on Flooding & Water Quality of Lake Nokoué

• 📜 Advanced-Level Trainings Attended:

  • Climate Change Adaptation & Mitigation – SMHI, Sweden (2022)

  • Hydrological Modeling (GR4J, WEAP) – WASCAL, COWI, AGRHYMET

  • Early Flood Alerts & Risk Management – AGRHYMET, Niger

  • Transboundary Basin Management – EAD, Egypt

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