Dr Sagar Patil | Materials Science Award | Best Researcher Award

Dr Sagar Patil | Materials Science Award | Best Researcher Award

Dr Sagar Patil, Michigan Technological University, United States

Dr. Sagar U. Patil is a dynamic researcher specializing in computational materials science, with a Ph.D. in Mechanical Engineering from Michigan Technological University (MTU). His expertise spans over 5 years, focusing on atomic-scale simulations to elucidate structure-property relationships in materials. He has collaborated extensively with cross-functional teams from academia and industry, including NASA, AFRL, DOE, and major corporations like Solvay and Huntsman Corporation. Passionate about innovation, he has made significant contributions to advancing materials modeling, particularly in molecular dynamics and finite element methods.

Publication Profile

Google scholar

Education

Dr. Patil earned his Ph.D. in Mechanical Engineering – Engineering Mechanics from MTU, USA, where he conducted groundbreaking research on molecular dynamics simulations of polymers and composites. Prior to this, he completed his M.Tech. in General Mechanical Engineering from SVNIT, India, and his B.E. in Mechanical Engineering from RSCOE, Pune University, India. His academic journey has been marked by a deep commitment to integrating theoretical insights with practical applications in materials science.

Experience

Currently a Postdoctoral Scholar at MTU, Dr. Patil pioneers physics-based workflows for optimizing materials such as ultra-strong composites for aerospace and wind energy applications. His research has focused on modeling interface interactions in nanotubes and polymers, enhancing experimental validation and process optimization through computational simulations. As a Graduate Research Assistant, he developed expertise in molecular dynamics and ab-initio methods, contributing significantly to the understanding of complex material behaviors. His teaching experience as a Graduate Teaching Assistant underscored his commitment to education and mentorship in engineering.

Awards and Honors

Dr. Patil has garnered several accolades, including the Group Achievement Award from NASA for his contributions to the Machine Genome Initiative. He secured first place in the ICME Prize Competition at the AIAA SciTech Forum and second place in the 3MT Competition at MTU. His dedication to teaching was recognized with the Deanโ€™s Award for Outstanding Graduate Teaching. He is a member of esteemed societies such as the American Society of Composites, Tau Beta Pi Engineering Honor Society, and the National Postdoctoral Association, reflecting his leadership and impact in the field of materials science.

Research focus

Dr. Patil’s research focuses on utilizing atomic-scale simulations, particularly molecular dynamics and ab-initio methods, to investigate structure-property relationships in materials. His work spans diverse areas such as polymers (epoxies, polyimides), nanotubes, and composite materials. He is passionate about integrating computational models with experimental techniques to advance understanding in fields like aerospace materials, renewable energy composites, and industrial applications. His expertise in finite element methods and machine learning further enhances his ability to predict material behaviors and optimize manufacturing processes. Dr. Patil aims to foster collaborative scientific discovery and innovation, contributing significantly to the advancement of computational materials science.

Publication Top Notes

Molecular dynamics modeling of epoxy resins using the reactive interface force field ๐Ÿ“Š

Interfacial characteristics between flattened CNT stacks and polyimides: A molecular dynamics study ๐Ÿ”

Reactive molecular dynamics simulation of epoxy for the full cross-linking process ๐Ÿ”ฌ

Interfacial modeling of flattened CNT composites with cyanate ester and PEEK polymers ๐ŸŒ

Understanding the origin of the low cure shrinkage of polybenzoxazine resin by computational simulation ๐Ÿ“

Manikandan | Civil Engineering Award | Best Researcher Award

Mr k manikandan | Civil Engineering Award | Best Researcher Award

Mr k manikandan , national institute of technology puducherry , Indiaย 

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. ๐Ÿ›๏ธ๐ŸŒ

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. ๐Ÿ›๏ธ 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. ๐Ÿ—๏ธ 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”