Summary of Research

Development of model-based and data-driven monitoring/prognostics and health management (CBM/PHM) solutions for complex engineering systems using artificial intelligence, deep/shallow machine learning algorithms, formal verification, model checking, intelligent control systems, advanced signal/image processing, and high-performance computing. This includes sensors and sensing strategies, risk and reliability analysis, decision-making under uncertainty, optimization, and multidisciplinary analysis using statistics, probabilistic methods, heuristic approaches, and fundamental research on data engineering for clustering, information retrieval, and similarity search.