Stochastic control deals with the uncertainties in data observation playing a crucial role in data evolution. Stochastic control plays a crucial role in a number of scientific and applied disciplines including engineering, finance, communications and medicine. Stochastic modeling is one of the most useful techniques for formulation of optimal decision-making strategies in applications. This book provides a compilation of exceptional investigations in different aspects of stochastic systems and their behavior. It presents a distinct analysis on practical aspects of calculus and stochastic modeling including applications derived from computer science, engineering and statistics. This book will be of great utility to readers with knowledge about stochastic calculus and basic probability theory. It will specifically serve as a useful resource for PhD students and researchers in stochastic control.