PhD in Operations Research - Applied Probability and Simulation in Atlanta United States | Georgia Institute of Technology

ISyE's applied probability and simulation research spans from theoretical foundations to practical implementations. Current methodological studies in applied probability cover:

Approximation techniques for queuing network models.
Analysis of rare occurrences (including large deviations, extreme values, and tail asymptotics) in queuing systems, Gaussian processes, and heavy-tailed scenarios.
Duality principles, mixing times, and phase transitions within controlled and uncontrolled Markov processes.
Development and evaluation of algorithms with associated combinatorial aspects.
Inventory management theory.
In simulation research, projects focus on enhancing the effectiveness and reliability of complex simulations. Key initiatives involve:

Refining simulation models through optimization techniques (such as adaptive random search, ranking/selection methods, or multinomial selection).
Modeling stochastic processes with significant dependencies.
Sequential approaches for quantile estimation.
Variance reduction techniques for option pricing calculations.
Sampling methodologies from model manifolds.