Intelligent Systems Laboratory
The Intelligent Systems Lab offers an experimental environment for developing, modeling, testing, demonstrating and validating advanced logistics and supply chain management concepts, specifically those that use intelligent software to build “smart” business and logistics processes.
Software tools developed in the lab, such as ReasonSmart™, help the center’s clients in both public and commercial sectors improve their processes, operations and intelligence systems to achieve their goals in productivity, profitability and service.
The Intelligent Systems Lab develops intelligent tools and analytics for:
- Distributed Networking — modeling data-rich processes in domains g from medicine and public health to global supply chain that offer rapid and easy information exchange, as well as interoperability across heterogeneous data and systems.
- Secure Data Sharing — connecting lab and international university partners to enable data sharing, team collaboration and research in a secure environment. The lab’s data grid is powered by iRODS™, the Integrated Rule-Oriented Data System, a data grid software system developed by the Data Intensive Cyber Environments research group and collaborators, which includes UNC’s Data Intensive Cyber Environments (DICE).
- Knowledge Discovery — uncovering patterns in datasets, small and large, to generate useful formation and new knowledge that will power decision support tools used by our clients.
- Visualization — enabling data and analytics to be expressed as graphics on a dashboard, rather than as piles of text, to help clients more quickly and easily extract information, spot and analyze trends, and act upon that information.
- RFID testing and research — using the lab’s SIMSpace, a virtual supply chain laboratory linking the lab with Tsinghua University in Beijing. The SIMSpace provides an environment for conducting doing Radio Frequency Identification (RFID) research and testing through interactive exercises and simulation of real-time experiments, providing a platform for studying special problems of supply chain visibility using RFID technology.
The lab also serves as the portal for the National Science Foundation-funded Collaborative Learning Environment. These virtual environments link participants at universities and industries worldwide for training and collaboration using new information tools and technologies.
Contact Monica Nogueira at the Intelligent Systems Lab, (919) 843-4740 or , to learn how to access the tools and resources the lab offers.