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
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”