Optimization methods and models in Economics, in particular, the study of various Scheduling problems and algorithms arising in Operation Research and Optimization; analysis and design of metaheuristic methods such as Genetic Algorithms (GA) in Machine Learning for Scheduling; the usage of the MATLAB based GA procedures, the relationship between Scheduling Theory and Computational Complexity Theory; Econometrics, namely, examining Heteroscedasticity in the real-world econometric models, testing for Heteroscedasticity in High-dimensional Regressions, MATLAB software implementation in analyzing and avoiding Heteroscedasticity.