Mohammed Alzard | Civil Engineering | Innovative Research Award

Innovative Research Award

Mohammed Alzard
Riga Technical University, Latvia

Mohammed Alzard
Affiliation Riga Technical University
Country Latvia
Scopus ID 57193922107
Documents 23
Citations 368
h-index 8
Subject Area Civil Engineering
Event International Young Scientist Award
ORCID 0000-0002-7864-7889

The Innovative Research Award recognizes research contributions that demonstrate originality, technical relevance, and potential value to scientific and engineering practice. This article presents the available academic profile information for Mohammed Alzard, affiliated with Riga Technical University, Latvia, in the field of civil engineering.

Abstract

Mohammed Alzard’s reported research profile includes 23 documents, 368 citations, and an h-index of 8. These bibliometric indicators provide a quantitative overview of scholarly output and citation activity. They should be interpreted alongside publication quality, research originality, and verified contributions to civil engineering.

Keywords

Innovative Research Award, Mohammed Alzard, civil engineering, research impact, scholarly publications, citation analysis, Riga Technical University.

Introduction

Civil engineering research supports the development, assessment, and improvement of infrastructure and construction practices. Innovation in this field can contribute to structural performance, material efficiency, durability, and sustainable engineering solutions. Evaluating research requires consideration of both measurable academic indicators and the practical significance of individual contributions.

Research Profile

The supplied profile identifies Mohammed Alzard as affiliated with Riga Technical University in Latvia. The reported Scopus indicators are 23 documents, 368 citations, and an h-index of 8. The associated ORCID record provides an additional researcher-identification resource.

Research Contributions

Assessment of research contributions should examine methodological soundness, originality, relevance to engineering challenges, and reproducibility. Specific projects or technical achievements should be described only after verification through publications or institutional records.

Publications

The supplied bibliometric information reports 23 documents. Individual publication titles, authorship details, and DOI identifiers require confirmation through the researcher’s bibliographic records.

Research Impact

The reported 368 citations indicate that the indexed publications have received scholarly attention. Citation counts vary by database and date and do not independently establish research quality or societal impact.

Award Suitability

The profile provides preliminary quantitative information relevant to consideration for the Innovative Research Award associated with the International Young Scientist Award. Final suitability should depend on verified eligibility, original research contributions, publication evidence, and the award’s official assessment criteria.

Conclusion

Mohammed Alzard’s reported publication and citation indicators offer a starting point for reviewing his academic profile in civil engineering. A balanced evaluation should combine bibliometric evidence with verified research quality and demonstrated contribution.

References

  1. Elsevier. (n.d.). Scopus author details. Scopus. Profile metrics supplied for this article; verify the correct author record before publication.
    https://www.scopus.com/authid/detail.uri?authorId=58175373800
  2. ORCID. (n.d.). ORCID researcher record: 0000-0002-7864-7889.
    https://orcid.org/0000-0002-7864-7889
  3. Google Scholar. (n.d.). Author citation profile.
    https://scholar.google.com/citations?user=8sd1t6wAAAAJ&hl=en&oi=ao

Uwayesu Happy Edwards | Engineering | Excellence in Research Award

Mr. Uwayesu Happy Edwards | Engineering | Excellence in Research Award

Suzhou university of science and technology | China

Mr. Uwayesu Happy Edwards the research focuses on environmental engineering, natural resource assessment, wastewater treatment modeling, hydropower system analysis, and climate-related environmental degradation across East and Central Africa. Recent work investigates the factors driving water quality changes in Lake Bunyonyi, integrating ecological metrics with habitat-impact assessments. Studies on wastewater treatment processes include large-scale evaluation of ASM1 parameters under subtropical climatic conditions, using long-term WWTP monitoring data to improve predictive reliability and optimize treatment efficiency. Broader environmental impact assessments examine risk patterns in natural resource zones across Southern Nigeria, Ibo regions, and Uganda’s Kitezi landfill, applying quantitative environmental models to evaluate pollution, habitat stress, and human–ecosystem interaction. Additional research explores deforestation-driven climate change in Morogoro, Tanzania, emphasizing the environmental implications for EPA-related conservation missions. Work on hydropower comparability analyzes the performance, sustainability, and environmental footprints of hydropower relative to fossil fuels and other energy systems in developing countries, contributing to renewable-energy assessment frameworks. Complementary studies investigate biomass arrangement effects on aquatic ecosystems, using vibrational analysis to evaluate impacts on fish habitats in Lake Victoria. Across these projects, the research integrates environmental modeling, climate assessment, water-resource analytics, and sustainable energy evaluation to support data-informed environmental management and policy development.

Featured Publications

Uwayesu, H. E., & Mulangila, J. (2025). Factor contributing to change of water in Lake Bunyonyi [Dataset]. Figshare. https://doi.org/10.6084/m9.figshare.30041587

Uwayesu, H. E. (2025). Address of Edwards line of emissions in reducing/positive impact to climate [Dataset]. OSF. https://doi.org/10.17605/osf.io/csz8x

 Uwayesu, H. E. (2025). Environmental impact and risk assessment of natural resource areas around Southern Nigeria, particularly Ibo and Uganda in the Kitezi landfill [Dataset]. Harvard Dataverse. https://doi.org/10.7910/DVN/EJ4Z7E

 Uwayesu, H. E. (2025). Evaluation of ASM1 parameters using large-scale WWTP monitoring data from a subtropical climate in Entebbe [Dataset]. Harvard Dataverse. https://doi.org/10.7910/DVN/BG5VJB