MIT in Decision Support Systems:
 Detection of abrupt changes in dynamical system models
 Linear and nonlinear programming
 Sequential methods in statistical hypotheses testing and pattern recognition
MIT in Data Processing and Control Systems:

Ordinary and total least squares

Digital signal spectra analysis

Discrete time multiinput multioutput control systems

Stochastic optimal linear estimation and control

Adaptive filtering and control systems

Robust methods of estimation and control
MIT in system modeling and analysis:

Regression, pseudoinverse and recurrent estimation

Stochastic system models estimation
 Combined navigation systems: error budget analysis and component optimization
MIT in computation:
 Traditional linear algebra computation methods
 Modern linear algebra computation methods:
factorization, orthogonalization, and parallelization