Faculty and graduate student research emphasizes the application of "system thinking" and of formal Systems Engineering methods to areas of importance to CSU, to the Colorado community, and to the nation as a whole. These application areas of research include:
- Energy and Natural Systems
- Aerospace and Defense
- Health Care and Enterprise Systems
- Industry Processes
CSU’s Systems Engineering researchers apply a variety of methodologies to develop new knowledge, new capabilities, and new systems in these applications. These capabilities include:
- Sustainability assessment toolkits including lifecycle assessment, materials and energy balances, techno-economic analysis, and policy-integrated analyses.
- The set of operations research and industrial engineering capabilities including optimization, machine learning, statistical science, design of experiments, decision support tool development, and cyber-physical simulation.
- The development of new theories, frameworks, and methodologies to engineer future systems. CSU Systems Engineering researchers continued to develop key aspects of the systems engineering canon including model-based systems engineering, multi-disciplinary analysis, multi-objective optimization, approximate dynamic programming, and more.
- Innovation in developing systems engineering project processes including requirements engineering, human factors engineering, institutional change, and management.
- The tools of advanced analytics and computing including networks and security, distributed systems, bioinformatics, computer vision, big data, and human-computer interaction.
The broadest possible collaborations across academic departments, universities, industry, government, and nations. CSU’s systems engineering program researches multi-disciplinary solutions to problems at every scale.