Research & Engineering
My research investigates the physics, non-destructive characterization, and lifecycle prognostics of advanced polymer matrix composites. By harmonizing dielectric spectroscopy, multimodal multiphysics modeling, and physics-informed neural networks (PINNs), our group establishes real-time digital twins for structural health monitoring under severe environmental and dynamic fatigue conditions.
Core Research Thrusts
Polymer Composite Materials
Fiber-reinforced polymer (FRP) composites, syntactic foams, thermoset/thermoplastic matrix systems, and sustainable bio-composites.
Structural Health Monitoring
Broadband dielectric spectroscopy (BbDS), impedance spectroscopy, and in-situ electrical state variable tracking under mechanical and hygrothermal degradation.
AI & Multimodal Machine Learning
Physics-informed neural networks (PINNs), supervised/unsupervised learning for damage mode classification, and remaining useful life (RUL) estimation.
Sustainable Manufacturing & Recycling
Life-cycle decision frameworks, carbon fiber recovery from out-of-date prepregs, pyrolysis optimization, and natural fiber composite development.
Digital Image Correlation (DIC)
Full-field strain analysis, high-speed optical measurements, and open-source in-situ 2D DIC software/hardware implementations (RealPi2dDIC).
Custom System & Fixture Design
ASTM-standard mechanical test fixtures (ASTM D6641), multi-mode fatigue test rigs, automated electromechanical testing machinery.
Explore Portfolios
Current & Doctoral Research
Main research projects toward Ph.D. at UT Arlington & UTARI. Includes AI-assisted prognostic health monitoring under fatigue, hygrothermal aging assessment, and custom multi-mode fatigue apparatus.
Secondary Projects
Collaborative research investigations conducted with IPPM colleagues: ASTM D6641 combined-load compression fixture, prepreg cure kinetics, stiffness degradation monitoring, and TIM gap filler characterization.
Undergraduate Projects
Engineering design and experimental initiatives completed during B.Sc. studies at BUET: Coir Particleboard, Undergrad Thesis, Automated Food Elevator, Sono-vision, Workshop Jib Crane, and Eco-Run vehicle.