Benjamin Mauzé | Engineering | Best Researcher Award

   Best Researcher Award

            Benjamin Mauzé
Affiliation University of Technology Tarbes Occitanie Pyrénées
Country France
Scopus ID 57216521395
Documents 6
Citations 149
h-index 5
Subject Area Engineering
Event International Popular Scientist Awards
ORCID 0000-0002-7603-3701
Benjamin Mauzé
University of Technology Tarbes Occitanie Pyrénées

Benjamin Mauzé is an engineering researcher affiliated with the University of Technology Tarbes Occitanie Pyrénées, France. His scholarly work focuses on engineering research, technological innovation, and applied scientific methodologies. Through peer-reviewed publications and measurable research impact, his academic profile demonstrates sustained engagement in engineering research and collaborative scientific development.[1]

Abstract

This article summarizes the academic profile of Benjamin Mauzé in relation to the Best Researcher Award presented during the International Popular Scientist Awards. The profile considers publication output, citation metrics, research quality, engineering specialization, and contributions to applied scientific knowledge. Evaluation is based on publicly available scholarly indicators and established academic assessment practices.[1]

Keywords

  • Engineering
  • Applied Research
  • Scientific Publications
  • Research Impact
  • Innovation
  • Technology

Introduction

Engineering research contributes significantly to industrial advancement, technological development, and sustainable innovation. Benjamin Mauzé has participated in research activities that support scientific progress through engineering methodologies and scholarly dissemination. His academic work reflects interdisciplinary collaboration and practical relevance within engineering sciences.[2]

Research Profile

The research profile includes six indexed scholarly publications with a cumulative citation count of 149 and an h-index of 5. These indicators demonstrate measurable academic visibility and continued engagement within engineering research communities. Bibliometric metrics provide one perspective on scholarly influence when interpreted alongside publication quality and research relevance.[1]

Research Contributions

  • Applied engineering research.
  • Technology-oriented scientific investigations.
  • Peer-reviewed scholarly publications.
  • Collaborative engineering research.
  • Knowledge dissemination through academic literature.

Publications

The publication portfolio includes engineering research articles indexed in international scholarly databases. These publications contribute to ongoing discussions in engineering and applied sciences while supporting future technological developments.[2]

Research Impact

Research impact is reflected through scholarly citations, publication quality, and academic engagement. With 149 citations and an h-index of 5, Benjamin Mauzé has established a measurable scholarly presence within engineering research. Bibliometric indicators are widely used to complement qualitative assessments of scientific contribution.[1]

Award Suitability

Based on available academic indicators, Benjamin Mauzé demonstrates qualifications aligned with the objectives of the Best Researcher Award. His publication record, citation performance, engineering specialization, and sustained scholarly activity represent characteristics commonly considered during academic recognition processes.[3]

Conclusion

Benjamin Mauzé’s academic profile reflects continued participation in engineering research through scholarly publication, scientific collaboration, and measurable research influence. His contributions support ongoing engineering innovation and align with recognized standards of academic excellence evaluated within international research award programs.[3]

External Links

References

  1. Scopus Author Profile, Benjamin Mauzé.
    https://www.scopus.com/pages/authors/57216521395
  2. Crossref DOI Foundation. DOI Handbook.
  3. International Popular Scientist Awards. Official Website.
    https://popularscientist.com/

 

Deme Hirko | Civil | Best Researcher Award

Mr. Deme Hirko | Civil | Best Researcher Award

Lecturer | Stellenbosch University | South Africa

Mr. Deme Hirko is a Water Resources Engineer, Climate Researcher, and Lecturer with extensive experience in teaching, research, and project coordination in the fields of hydrology, irrigation, and water systems management. His work focuses on sustainable water resource strategies, integrating advanced hydrological models with machine learning to optimize water allocation and assess the impacts of climate change. As a PhD researcher at Stellenbosch University, he develops Python-based analytical tools and applies data-driven methods to enhance climate impact assessments and water management efficiency. He has taught and supervised numerous students in hydraulic engineering and water resource modelling, combining academic rigor with practical insights from his earlier experience in infrastructure project management. His research explores the intersection of climate science, data analytics, and high-performance computing, aiming to improve resilience in water-scarce regions. He has published several peer-reviewed papers on topics such as machine learning applications in hydrology, water allocation modelling, and irrigation performance evaluation. In addition to his academic work, he actively participates in international conferences and specialized training programs related to climate modelling, Earth observation, and water resource assessment. Committed to interdisciplinary collaboration, he strives to advance research that supports equitable and data-informed water management policies, particularly within the context of climate variability in Africa.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Hirko, D. B., Du Plessis, J. A., & Bosman, A. (2025). Using machine learning and satellite data to analyse climate change in the Upper Awash Sub-basin, Ethiopia. Physics and Chemistry of the Earth, Parts A/B/C.

Hirko, D. B., Du Plessis, J. A., & Bosman, A. (2025). Review of machine learning and WEAP models for water allocation under climate change. Earth Science Informatics.

Hirko, D. B., Gebul, M. A., Du Plessis, J. A., & Emama, W. O. (2023). Assessment of irrigation water allocation, Koftu, Ethiopia. Water Practice & Technology, 18(6).

Hirko, D. B., & Du Plessis, J. A. (2023, April 16). Assessing the effectiveness of Koftu’s small-scale irrigation schemes in enhancing water resource utilization in Ethiopia [Preprint]. ESSOAr.

Hirko, D. B. (2022, July 27). Irrigation land suitability assessment of Sibilu River catchment using geographic information system. Irrigation & Drainage Systems Engineering.