Woojin Chang

Professor Woojin Chang's research lab specializes in statistical modeling and data analysis with a focus on reliability engineering, survival analysis, and statistical learning. The lab develops advanced methodologies for handling incomplete or censored data, particularly in reliability trend analysis using power law processes and wavelet-based classification techniques. Research also extends to econometric applications, such as the impact of financial distress risk on executive compensation, integrating statistical inference with real-world economic decision-making. The lab emphasizes both theoretical rigor and practical implementation across engineering, industrial, and financial domains.