Methodologies
Optimization
Methodological research in optimization uses techniques of algebra, geometry, analysis
and combinatorics to develop and analyze algorithms for fundamental optimization models
having broad applicability.
Data Analytics, Machine Learning and Artificial Intelligence
Data science research uses principles from computation, machine learning, statistics,
and mathematics, to develop methods to analyze data and gain insight and knowledge
about underlying systems to improve decision making.
Stochastic Processes
This area of research is concerned with systems that involve uncertainty. Unlike deterministic
systems, a stochastic system does not always generate the same output for a given
input.
Human Factors and Ergonomics
The domain of human systems integration is a multidisciplinary field of research that
endeavors to extend knowledge about how people interact with technology.
Computational Modeling
Data science research uses principles from computation, machine learning, statistics,
and mathematics, to develop methods to analyze data and gain insight and knowledge
about underlying systems to improve decision making.
Manufacturing Processes
The domain of human systems integration is a multidisciplinary field of research that
endeavors to extend knowledge about how people interact with technology.
Quality Control and Reliability
Data science research uses principles from computation, machine learning, statistics,
and mathematics, to develop methods to analyze data and gain insight and knowledge
about underlying systems to improve decision making.