Mr. Namwinwelbere Dabire | Watershed | Best Researcher Award

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

Publication Top Notes:

Determination of Hydrological Flood Hazard Thresholds and Flood Frequency Analysis: Case Study of Nokoue Lake Watershed

Determination of Hydrological Flood Hazards Thresholds and Flood Frequency Analysis: Case of Nokoue Lake Watershed

Probabilistic Flood Modeling in the Lake Nokoue Basin Using Statistical Models

Forecasting Lake Nokoué Water Levels Using Long Short-Term Memory Network

water Quality index of lake nokoue prediction using random forest and neural network

Current State of Flooding and Water Quality of Nokoue Lake in Benin (Ouest Africa)

Gelana Urgesa Ayana | Agroforestry System award | Best Researcher Award

Mr. Gelana Urgesa Ayana | Agroforestry System award | Best Researcher Award

PhD candidate at Shanghai Ocean University, Ethiopia

Gelana Urgesa Ayana is a dedicated academician from Ethiopia, passionate about education and societal betterment. With a love for football and reading, he balances personal interests with his commitment to knowledge. Currently a PhD candidate at Shanghai Ocean University, Gelana focuses on aquatic disease diagnosis and prevention. His work aims to positively impact the agricultural and veterinary fields, demonstrating his dedication to improving the future for his community and beyond. Through teaching and research, Gelana fosters an inclusive learning environment, helping students excel while building trust and relationships.

Profile:

Strengths for the Award:

  1. Academic Background and Expertise: Gelana holds a PhD candidacy in Aquatic Disease Diagnosis, Prevention, and Control, complemented by an MSc in Fishery Development. This strong academic foundation demonstrates a deep understanding of his field.
  2. Research Contributions: He has authored and co-authored several significant journal articles, including investigations into the bactericidal activity of compounds against pathogens and the role of probiotics in sustainable poultry production. His diverse research topics reflect both breadth and depth of knowledge.
  3. Community Engagement: Gelana has actively participated in community service initiatives, training programs, and vaccination campaigns, indicating a commitment to applying his research for societal benefit.
  4. Continuous Professional Development: He has pursued various training and workshops, enhancing his skills in microbiology, disease management, and academic pedagogy. This commitment to lifelong learning is crucial for a researcher.
  5. Collaborative Skills: His experience in collaborative research projects highlights his ability to work well in teams and contribute to collective goals, which is essential in the research community.
  6. Multilingual Proficiency: His proficiency in multiple languages, including English, Afan-Oromo, and Amharic, facilitates communication and collaboration in diverse settings, broadening his research impact.

Areas for Improvement:

  1. Broader Research Networking: While he has a solid foundation, expanding his research network internationally could lead to more collaborative opportunities and increased visibility in the global research community.
  2. Funding Applications: Engaging more actively in grant writing and funding applications could provide the resources necessary to support larger research initiatives and enhance his project scope.
  3. Publishing Frequency: Increasing the frequency of publications and exploring high-impact journals could further elevate his research profile and impact.
  4. Public Speaking and Presentation Skills: Developing these skills could enhance his ability to communicate research findings effectively at conferences and workshops, thereby increasing his influence and visibility.

Education:

Gelana holds a BSc in Veterinary Laboratory Technology from Wollega University, where he explored parasitic disease diagnosis. He then earned an MSc in Fishery Development from Nanjing Agricultural University, focusing on aquatic disease management with a thesis on the bactericidal activity of emodin. Currently, he is pursuing a PhD at Shanghai Ocean University, concentrating on aquatic disease diagnosis, prevention, and control. His education has equipped him with the knowledge and skills to address critical challenges in veterinary medicine and sustainable aquaculture, preparing him for impactful research and teaching roles.

Experience:

Since September 2017, Gelana has served as the Chief Laboratory Assistant at Jimma University’s College of Agriculture and Veterinary Medicine. His responsibilities include lecturing BSc students, conducting practical laboratory sessions, and assisting MSc and PhD students in microbiology. Gelana actively engages in research collaborations with faculty, focusing on animal disease diagnosis and data analysis. He is also dedicated to community service, providing training and support to improve local veterinary practices. His diverse experiences in teaching, research, and community involvement reflect his commitment to advancing knowledge and practice in agriculture and veterinary medicine.

Research Focus:

Gelana’s research focuses on aquatic disease diagnosis, prevention, and control, particularly within the fields of veterinary science and aquaculture. His current work includes investigating the bactericidal effects of natural compounds on pathogenic bacteria, contributing to sustainable disease management strategies. Through collaborative projects, he aims to develop effective interventions to enhance animal health and production. His recent studies on probiotics in poultry production and biosecurity reflect his commitment to integrating innovative approaches into veterinary practice. Gelana’s research is poised to make a significant impact on food security and public health in Ethiopia and beyond.

Publications Top Notes:

  • Effect of Rice–Carp Coculture on Phytoplankton and Microzooplankton Community Composition in Paddy Water during Different Rice Growth Stages 🌾🐟
  • Probiotics in Disease Management for Sustainable Poultry Production 🐔🔬
  • Natural Sunlight-Mediated Emodin Photoinactivation of Aeromonas hydrophila 💡🔬
  • Probiotics in Disease Management for Sustainable Poultry Production 📄🐔
  • Bacteriological Identification among Patients Attending at Jimma University Veterinary Clinic 🧪🐾

Conclusion:

Gelana Urgesa Ayana exemplifies the qualities of an exemplary researcher through his strong academic background, substantial contributions to the field of aquatic disease management, and dedication to community service. His ongoing commitment to professional development and collaboration positions him well for the Research for Best Researcher Award. Addressing identified areas for improvement could further enhance his research profile and broaden his impact in the academic community.