The Role of AI-Driven Digital Twins in Modern Infrastructure
Exploring how real-time sensor data and machine learning are revolutionizing structural health monitoring and predictive maintenance.
A repository of my peer-reviewed academic papers, ongoing computational research, and engineering insights bridging physical infrastructure with intelligent systems.
Journal of Climate Resilience
This study evaluates the performance of Artificial Neural Networks (ANN) and XGBoost in predicting meteorological drought across Khyber Pakhtunkhwa. By leveraging the Standardized Precipitation Evapotranspiration Index (SPEI) and high-resolution CMIP6 climate models, the research provides robust predictive insights for regional climate resilience and water resource management.
Structures & Materials
An in-depth investigation into the structural integrity of unreinforced brick masonry retrofitted with Carbon Fiber Reinforced Polymers (CFRP). Experimental testing following ASTM E519 standards is correlated with advanced Finite Element Modeling utilizing Abaqus CAE and the Concrete Damaged Plasticity (CDP) model.
Exploring how real-time sensor data and machine learning are revolutionizing structural health monitoring and predictive maintenance.
A deep dive into integrating climate projections (CMIP6) directly into Building Information Modeling workflows for resilient design.