The Predictive Analytics and Optimization Laboratory conducts applied research at the intersection of artificial intelligence, data analytics, optimization under uncertainty, and engineering systems. Its work focuses on designing and implementing predictive and prescriptive models to support decision-making in operation, maintenance, and planning of complex systems, with a special emphasis on energy applications and critical assets. The laboratory seeks to transform operational and asset-condition data into robust, explainable, and high-impact decisions for industry.