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The graduate program in Industrial and Systems Engineering (ISE) offers a worldwide perspective for students aiming to conduct pioneering research in the field. ISE research spans mathematical optimization, data science and machine learning, energy and service systems, and high-performance computing. Key focus areas for Ph.D. candidates encompass: Optimization techniques (including nonlinear, discrete, and convex optimization), integer programming, optimization algorithms and software, stochastic and robust optimization, machine learning applications, Probability and Statistics (covering stochastic processes and queueing networks), Simulation techniques, Operations Research applications (such as supply chain management and financial optimization), energy sector applications like smart grids, scheduling methodologies, and healthcare systems analysis.