Research

My research explores the intersection of materials science, engineering mechanics, and sustainability, with a strong emphasis on understanding failure mechanisms, enhancing material reliability, and designing next-generation materials. By integrating nanotechnology, multi-scale modeling, and advanced characterization techniques, I aim to contribute to the development of resilient and eco-conscious engineering systems.

Fracture Nanotechnology

Cracks don’t start big — they start invisible

I dive into the nanoscale world to uncover how atomic-level flaws lead to catastrophic failure. Using atomistic simulations and nano-mechanical experiments, I aim to crack the code of fracture initiation and turn vulnerability into insight.

Failure Analysis

Every failure tells a story — I listen

Through forensic material science, I analyze why systems break — and how they shouldn’t. By merging scanning electron microscopy, predictive modeling, and reverse-engineering techniques, I help uncover root causes and shape failure-resistant design.

Sustainable Materials

Materials that heal the planet, not harm it

I engineer high-performance materials using waste, bio-sources, and circular design principles. My work focuses on green concrete, recycled polymers, and materials with minimal carbon footprints — without compromising structural integrity.

Multi-scale Modeling & Simulation

From atoms to bridges: modeling the invisible to build the unbreakable

I build computational models that unify molecular interactions with macro-level behaviors. Using finite element methods and micro-mechanics, I simulate how materials perform, degrade, and adapt — across time and scale.

Advanced Material Characterization

To design better, we must see deeper

I use cutting-edge tools — from SEM to nanoindentation — to decode material properties from within. My work connects microstructure to performance, revealing hidden weaknesses and untapped strengths.

Reliability Engineering

Engineering certainty in an uncertain world

I develop models that predict failure before it happens — under stress, time, and randomness. By integrating probabilistic methods, data-driven analytics, and fatigue assessments, I design for resilience, longevity, and trust.