Subir Chowdhury School of Quality and Reliability

My research areas encompass several critical aspects of structural engineering, with a primary focus on enhancing the reliability and safety of structures through innovative approaches. A key component of my work involves developing structural health monitoring techniques that enable non-intrusive evaluation of structures to detect potential issues and ensure their long-term performance. I also explore stochastic degradation modeling to better understand and account for uncertainties in structural behavior over time. By integrating probabilistic approaches, I aim to achieve reliability-based design optimization, where the design process considers not only traditional engineering factors but also the inherent variability of materials and loading conditions. Additionally, I investigate the potential of probabilistic machine learning in improving predictive capabilities for structural performance, thereby paving the way for data-driven and risk-aware engineering design. Ultimately, my research endeavors to contribute to the development of resilient and sustainable infrastructure, fostering a safer built environment for the future.