Dr. Mayank Chadha

Biography

Mayank Chadha's research encompasses a wide spectrum of ideas ranging from fundamental applied mechanics to practical data-driven engineering decision-making. His work extensively utilizes diverse mathematical tools and modeling techniques to study the lifecycle of large structures, construct digital twins with specific targets in mind, and establish decision-making frameworks for engineering applications. He devises sensor optimization frameworks and quantifies Value Information in Structural Health Monitoring (SHM) systems. Additionally, he employs machine learning to build physics-based hybrid forecasting models, performs model updating through Bayesian inference as new information becomes available, and conducts risk analysis and uncertainty quantification. His multifaceted research approach blends theoretical underpinnings with practical applications to address critical challenges in the field of engineering.

Research Interests