Smart materials, Shape memory alloys, Steel alloys, Composite Materials
Blast Loading & Impact Engineering
Non-destructive Testing (NDT), OR Non-destructive Evaluation (NDE), Inspection & Evaluation
Acoustic Emission (AE)
Failure Analysis, Fracture Mechanics & Behaviour, Fatigue of Materials, Damage Mechanics, Crack Propagation
Mechanical Properties of Materials, Mechanical Behaviour of Materials, Mechanical Deformation, Mechanical Strength
Tensile Testing, Micro-Tensile Testing, Elastic-Plastic Behaviour, Stress-Strain Relations, Plastic Deformation
Hardness Tests
Materials Characterization & Structure
Deformation Mechanisms
Microstructural Analysis and crystallography, Microscopy (EBSD, SEM)
Machine Learning (ML) & Deep Learning (DL)
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Materials
Materials
Shape memory alloys (SMA, Biomedical)
Steel Alloys
Composites
My research has spanned a broad spectrum of materials systems across multiple engineering applications.
Mechanical Loading
Mechanical Loading
Cyclic loading (Faigue behavior of materials)
Tensile tesing and Micro tensile testing (Mechanical properties / behavior of materials)
Blast loading and Impact Engineering
Hardness tests
My research began during my master’s degree with fatigue testing of composite materials, where I developed a strong foundation in material behavior and failure analysis. During my PhD, I further investigated the effects of blast loading on steel alloys, exploring the relationship between mechanical properties and microstructural evolution.
Structural Health Monitoring (SHM)
Structural Health Monitoring (SHM)
Non-Destructive Testing (NDT), Acoustic Emission (AE)
During my research, I employ Acoustic Emission (AE) techniques as a non-destructive monitoring tool to investigate fatigue damage in materials. AE enabled real-time detection of crack initiation and propagation, as well as the identification of different damage mechanisms.
Microstructural Analysis & crystallography
Microstructural Analysis & crystallography
Electron Backscatter Diffraction (EBSD)
Scanning Electron Microscopy (SEM)
I utilize Scanning Electron Microscopy (SEM) and Electron Backscatter Diffraction (EBSD) for advanced materials characterization, enabling detailed analysis of microstructural features such as grain morphology, phase distribution, and crystallographic orientation. These techniques support the investigation of deformation mechanisms, phase transformations, and failure behavior at the microscale.
Machine Learning (ML) & Deep Learning (DL)
Machine Learning (ML) & Deep Learning (DL)
Supervised Learning
Unsupervised Learning
Neural Networks (NN)
I apply machine learning and deep learning models to predict material behavior and failure mechanisms based on experimental and microstructural data.
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