Nohelia Gutiérrez | Construction and structures | Women Researcher Award

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Ms. Nohelia Gutiérrez | Construction and structures | Women Researcher Award

PhD student, Coimbra University, Portugal 

Nohelia Gutiérrez is an accomplished architect and researcher specializing in smart materials for sustainable infrastructures. With a strong background in research, teaching, and managing construction projects, she brings creativity and dedication to every endeavor. Currently based in Coimbra, Portugal, she is actively involved in addressing structural engineering challenges through innovative approaches.

Profile

Orcid

🎓 Education:

  • Ph.D. Candidate in Civil Engineering: University of Coimbra, Portugal (2022 – Present)
  • Master’s Degree in Advanced Building Construction: Polytechnic University of Catalonia, Spain (2017 – 2019)
  • Professional Degree in Architecture: National University of Engineering, Peru (2002 – 2008)

🏢 Experience:

Nohelia has a diverse professional background, including roles as an associate professor, lecturer, and supervisor of infrastructure projects. She has worked with institutions such as Continental University in Peru and CREA Architecture and Engineering in Spain. Her roles have encompassed research coordination, teaching, and the supervision of construction and maintenance projects.

🔬 Research Interest:

Her research focuses on smart materials, particularly self-healing concrete and sustainable timber construction. She explores innovative methods to improve the durability and sustainability of building materials, with a keen interest in prefabricated and modular timber construction.

🏅 Awards:

Nohelia has been recognized for her contributions to the field of architecture and civil engineering, particularly in the development of self-healing concrete and sustainable building practices.

📝 Publications Top Notes:

Bibliometric Review of Prefabricated and Modular Timber Construction from 1990 to 2023: Evolution, Trends, and Current Challenges – Sustainability, 2024. Cited by 3 articles.

Development of Sustainable Timber Construction in Ibero-America: State of the Art in the Region and Identification of Current International Gaps in the Construction Industry – Sustainability, 2022. Cited by 5 articles.

Study of Autogenous Self-Healing in Different Mortar Formulations – DBMC Conference Proceedings, 2020. Cited by 7 articles.


















	


	

	






	
	

		


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”