Mahamat Abdallah | Sustainability | Young Researcher Award

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Mr. Mahamat Abdallah | Sustainability | Young Researcher Award

Civil Engineer, Beijing Jiaotong University, China

Mahamat Nour Issa Abdallah is an emerging civil engineer and researcher specializing in sustainable infrastructure in arid regions. He earned his BSc in Civil Engineering from Shenyang Jianzhu University, China, and is currently pursuing a Master’s degree at Beijing Jiaotong University. His professional journey includes roles as a Site Engineer and Engineering Department Supervisor in China and the UAE, where he managed diverse projects focusing on quality control, design coordination, and regulatory compliance. Fluent in English, Arabic, and Mandarin, Mahamat’s multicultural proficiency enhances his collaborative capabilities. His research, particularly on wind erosion and sand deposition in desert railways, reflects a commitment to addressing environmental challenges through geospatial analysis and innovative engineering solutions. Mahamat’s blend of academic rigor and practical experience positions him as a promising contributor to sustainable civil engineering practices.

Profile

Orcid

🎓 Education 

  • Bachelor of Science in Civil Engineering
    Shenyang Jianzhu University, China (2016–2020)
    Focused on structural analysis, construction materials, and project management, laying a strong foundation in civil engineering principles.

  • Master of Science in Civil Engineering
    Beijing Jiaotong University, China (2021–Present)
    Specializing in geospatial analysis and sustainable infrastructure, Mahamat’s research addresses mitigation strategies for wind erosion and sand deposition in desert railway systems. His interdisciplinary approach combines environmental science with civil engineering to develop resilient infrastructure solutions.

🏗️ Experience 

  • Intern, Shenyang ZhongHeng Construction Engineering L.L.C, China (2019–2020)
    Conducted daily site inspections, quality control, and manpower reporting. Assisted in reviewing and modifying fit-out drawings, coordinating with site supervisors and technicians.

  • Site Engineer, DHCN Construction L.L.C, Dubai, UAE (2021–2022)
    Oversaw daily site operations, ensured quality standards, coordinated with foremen, and managed progress reporting. Handled inspection approvals and rectification of non-conformance reports.

  • Engineering Department Supervisor, Origin International Management L.L.C & AL Qimma Engineering Consultancy L.L.C, Abu Dhabi, UAE (2022–Present)
    Managed coordination between consultants and contractors for shop drawing approvals, designed architectural and electrical drawings, and arranged fit-out quotations. Handled site inspections, obtained necessary NOCs, and ensured compliance with fire safety systems. Reported weekly progress and handed over completed projects to clients.

🔬 Research

Mahamat’s research centers on sustainable infrastructure development in arid regions, with a particular emphasis on mitigating wind erosion and sand deposition affecting desert railways. Utilizing geospatial analysis and computational modeling, his work aims to develop effective strategies for maintaining the integrity and safety of railway systems subjected to harsh desert conditions. His interdisciplinary approach integrates environmental science, civil engineering, and data analytics to address the challenges posed by sand accumulation on railway tracks. By focusing on the optimization of sand mitigation measures, Mahamat contributes to the advancement of resilient infrastructure solutions that are crucial for the sustainability of transportation networks in desert environments.MDPI

đź“š Publication Top Notes

1. Mitigation Measures for Wind Erosion and Sand Deposition in Desert Railways: A Geospatial Analysis of Sand Accumulation Risk

  • Journal: Sustainability

  • Publication Date: April 29, 2025

  • DOI: 10.3390/su17094016

  • Contributors: Mahamat Nour Issa Abdallah, Tan Qulin, Mohamed Ramadan, Providence Habumuremyi

Summary:
This study presents a geospatial analysis of sand accumulation risks affecting desert railways. By integrating environmental data and computational modeling, the research identifies critical areas prone to wind erosion and sand deposition. The findings offer valuable insights into the development of targeted mitigation strategies to enhance the resilience and safety of railway infrastructure in arid regions.

Conclusion

Mahamat Nour Issa Abdallah is a promising early-career civil engineer with a strong combination of practical experience, multilingual ability, and emerging research in sustainable infrastructure. His work is especially relevant to Middle Eastern and desert environments, making him a good candidate for a Young Researcher Award, particularly if the award emphasizes applied civil engineering, resilience against climate challenges, or geospatial environmental research.

Da Shi | Structural engineering | Best Researcher Award

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Dr. Da Shi | Structural engineering | Best Researcher Award

Doctor, Zhejiang University, China

Soukaina Elkadaoui is a junior scientific researcher specializing in biochemistry, microbiology, and medical science. Born on March 20, 1997, she is known for her research on the physicochemical properties of chitosans and their antibacterial and antifungal effects. Soukaina is currently pursuing her PhD and is deeply involved in research that intersects pharmaceuticals, paramedical studies, and marketing.

Profile

Scopus

🎓 Education:

Soukaina Elkadaoui is currently pursuing her PhD at the Bioresources and Food Safety Laboratory, University Cady Ayyad Marrakesh (2021-2024). She holds a Master’s degree in Metrology and Quality from the Faculty of Sciences Semlalia, University Cady Ayyad Marrakesh (2018-2020). She completed her Bachelor’s degree in Biomedical Laboratory Technology at the Higher Institute of Health Sciences, Hassan 1st Settat University (2015-2017).

đź’Ľ Experience:

Soukaina has accumulated substantial research experience through various internships. She completed a research internship at the Microbiology Laboratory CHU MVI Marrakesh in February 2024, focusing on the antibacterial, antifungal, and antioxidant activities of chitosans. From April 2021 to January 2024, she interned at the LIRBM laboratory of the National School of Education (ENS), where she worked on the preparation and characterization of chitins and chitosans from insects and marine waste. In 2019, she had an operational internship at the Microbiology Laboratory CHU MVI Marrakesh, where she developed evaluation grids according to ISO15189 standards and performed comprehensive sample analysis procedures.

🔬 Research Interests:

Soukaina’s research interests include the study of chitosans’ physicochemical properties, biochemistry, microbiology, and the development of pharmaceutical and paramedical applications. She is particularly focused on optimizing extraction conditions and characterizing chitosans derived from various sources.

đź“š Publications Top Notes:

Valorization of Hermetia illucens breeding rejects by chitins and chitosans production. Influence of processes and life cycle on their physicochemical characteristics – International Journal of Biological Macromolecules, 2024.

Cited by: Articles on chitosan production and applications.

Extraction of chitin, preparation of chitosan and their structural characterization – Handbook of Natural Polymers, Volume 1, Elsevier, 2023.

Cited by: Research on natural polymer extraction and applications.

Investigation of the desert locust (Schistocerca gregaria) and its different morphological parts as a chitinous source – Submitted to Polymer Bulletin.

Cited by: Pending publication, expected to influence studies on chitin sources.

Manikandan | Civil Engineering Award | Best Researcher Award

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Mr k manikandan | Civil Engineering Award | Best Researcher Award

Mr k manikandan , national institute of technology puducherry , India 

K Manikandan is a research scholar at the National Institute of Technology Puducherry, India, specializing in the preservation of masonry heritage structures, particularly minarets. His research focuses on structural analysis, earthquake engineering, and machine learning applications in heritage conservation. Manikandan has developed a pioneering machine learning model to analyze and safeguard slender heritage structures, contributing significantly to architectural preservation. His work, published in a prestigious journal, utilizes digital documentation and ontological frameworks to mitigate structural risks. 🏛️🌍

Publication Profile

Scopus

Professional Background

K MANIKANDAN is deeply passionate about heritage preservation, showcasing expertise in structural analysis, earthquake engineering, and machine learning. His dedicated efforts are focused on safeguarding iconic architectural elements that hold immense cultural and religious significance. 🏛️ Through his research, he aims to ensure the longevity and resilience of masonry heritage structures, with a particular emphasis on minarets. This interdisciplinary approach integrates advanced engineering principles with historical preservation, addressing challenges posed by natural disasters and environmental factors. K MANIKANDAN’s work not only contributes to the preservation of tangible heritage but also fosters greater understanding and appreciation of architectural diversity across communities.

 

Research Focus

K MANIKANDAN’s research falls under the category of Structural Analysis and Machine Learning. 🏗️ His study focuses on the fundamental frequency formulation and modeling of masonry slender structures, employing a comparative analysis of machine learning and regression techniques. By exploring these advanced methodologies, he aims to enhance the understanding of structural dynamics and behavior in heritage buildings, particularly minarets. This research not only contributes to the field of earthquake engineering but also supports the preservation efforts of cultural and historical landmarks. Through innovative approaches, K MANIKANDAN seeks to ensure the resilience and longevity of these architectural treasures for future generations.

Publication Top Notes

“Fundamental frequency formulation and modeling of masonry slender structures: A comparative study of machine learning and regression techniques”