In the Department of Industrial and Systems Engineering, machine learning (ML) is revolutionizing advanced manufacturing by enabling data-driven process optimization, predictive maintenance, and real-time quality control. Research focuses on developing ML models that enhance efficiency, reduce downtime, and improve product quality by analyzing data from sensors and machinery. Additionally, ML is applied to optimize supply chains, enhance human-machine collaboration, and increase manufacturing flexibility, especially for customized production. This research is pivotal in advancing sustainable practices by optimizing energy use, ultimately driving innovation in modern manufacturing systems.