Complex Systems Monitoring, Modeling, and Controls Lab
Located in 224 Leonhard Building, the Complex Systems Monitoring, Modeling, and Control Laboratory focuses on sensor-based modeling and analysis of complex systems for process monitoring, fault diagnostics/prognostics, quality improvement, and performance optimization, with special research interests on nonlinear stochastic dynamics and the resulting chaotic, recurrence, self-organizing behaviors.
The lab is equipped with the sensing, measurement, and computational resources to pursue the following research and development activities: Process Monitoring and Advanced Control; Health Information Systems and Healthcare Informatics; Computer Simulation and Optimization; Design and Analysis of Physical and Computer Experiments; Big Data Analytics for Large-Scale Complex Systems; and Nonlinear Dynamics and Chaos.
Under the guidance of Hui Yang, associate professor of industrial engineering, the lab provides close to 500-square-feet of space dedicated to research and education on sensor-based system informatics and control. It contains an array of equipment for advanced sensing, process monitoring, and system control, including: patient simulator, Portable Oscilloscope, wireless sensor network, Bluetooth sensors, and two parallel computing workstations (4 K80 Passive GPU Computing Processor 2x2496=4992 cores and 2x Twelve-Core/24-Threads Intel® Xeon CPUs).