Welcome to my personal web page!
I hope to give you an insight about my research activity at Georgia Tech as a PhD student in Dr. Surya R. Kalidindi’s group. I am part of the MINED group (materials informatics for engineering design), and the overall goal of our group is to advance the development of new materials and also advance our understanding of existing materials systems. This is done by solving the bottlenecks that currently exist in materials science domain. There are a large number of bottlenecks, however, I am focused on solving the issues of high-throughput experimental data acquisition and analysis, and also creating frameworks for data-driven materials models.
Although I am a student in the Mechanical Engineering school, it is difficult to bin my research topic into one field or department. Rather, it is part of an emerging field of Materials Informatics, which is the intersection of materials science, data science, and mechanical engineering. The goal of materials informatics is to utilize data from materials simulation or experimental studies to extract knowledge about the behavior of materials. Behavior can be further broken down into three main pillars: Process, Structure, and Property. Process is the thermal and/or mechanical history of the material in question. Structure is the internal arrangement of the material. Property is the mechanical and/or thermal performance of the material. These pillars are intricately interconnected in complex ways and it is my task to find the mathematical relationships between them. I have posted my main research projects below, please take a look at what interests you!
1. Digital processing and segmentation of materials microstructure images
Segmentation is the process of labeling each pixel in the microstructure image with a discrete local state. This is a key step in quantifying the structure in an automated way. The segmented image is basically processing the image through a series of filters so that the computer can understand it’s context (machine vision).
2. High-throughput mechanical evaluation with spherical indentation
The novel spherical indentation protocol pioneered by the MINED group allows us to extract indentation stress-strain curves from very small volumes of material. The advantages of indentation include extraction of local and/or bulk properties material properties in a high-throughput manner. This technique is a form of non-destructive testing, as the indentation zones are on the order of microns.
3. Process-Structure-Property linkages for hierarchical material systems
Process-Structure-Property (PSP) linkages is the mathematical relationship (model) between the three domains of an engineered material. As mentioned earlier, the relationships between process, structure, and property is complex and interrelated. Establishing these linkages requires materials informatics-specific protocols such as microstructure segmentation, microstructure quantification, spherical indentation, and many more.