ISyE faculty and students are working on theoretical and methodological advances in analytics and machine learning, as well as with companies and organizations to bring state-of-the-art analytics and big-data research to bear on real-life problems.
Analytics and machine learning have quickly become key business strategies amd tools for making better decisions.. Data streams are growing rapidly in size, speed, and diversity. When you add in high-performance computing capacity and advanced statistical and operations research algorithms, the combination becomes very powerful. The perspective and skills of analytics are in high demand in a wide range of industries, and the need for fundamental research in analytics and machine learning related areas is significant.
To improve our ability to analyze, predict, and optimize based on fast-moving and massive-scale data sets, we are working on cutting-edge research in many aspects of the theory, methodology, modeling, and application of modern analytics.
We are conducting research in application areas that include aspects of business and industry like strategic planning and dynamic operating decision-making in: