Laboratory for Intelligent Systems and Quality (LISQ) originally started as the Artificial Intelligence (AI) Laboratory in 1987 founded by Professor Kumara. During the mid nineties Professors Kumara, Barton, and Chandra joined together to take the AI lab to the next step: Intelligent Design and Diagnostics Research Laboratory (IDDRL). Professor Gautam teamed up with the lab in 1996.

AI lab was founded with the mission of exploring Information Technology in Manufacturing, Logistics and Large scale systems integration. LISQ members have conducted extensive and ground breaking research in:

• Sensor based monitoring of machining processes;
• Sensor data representation using Wavelets;
• Chaos modeling of manufacturing processes;
• Distributed databases in manufacturing;
• Quality Control;
• Internet based manufacturing;
• Distributed Intelligent Agents in manufacturing and logistics;
• Distributed Sensing.

Our rich background work naturally took us to the unexplored territory of large-scale systems. In the futuristic world whether it is the shop floor of a manufacturing system, trucks in a transportation network, medical facilities in health care, or the nodes in an Internet – all will be a part of the larger integrated distributed system. Individual sensors collect data, and use their intelligence to communicate with different geographically distributed entities (people, equipment, and computers), forming complex networks. Though each entity may individually exhibit simple behaviors, collectively complex behaviors will manifest. The fundamental question that will be faced by the futuristic world is “How will we make these large scale systems adaptive so that their survivability is ensured?”

The Objective of LISQ in essence is to study survivability of large-scale complex systems. The three pillars of survivability are: Robustness, Security, and Performance. The LISQ team is studying the theoretical, applied and implementation details related to the survivability of large-scale complex adaptive systems  (CAS).

We use distributed multi agent framework for implementation. Our theoretical work encompasses models for: sensor signal representation, data fusion, networks, adaptive control, data mining, robustness, performance and security. LISQ research is interdisciplinary in nature and combines Biology, Economics, Statistics, Computer Science, Non-linear Systems Theory, Complexity and Operations Research models. We wish to generate a body of knowledge that will lay the foundation for building a unified theory for the control of complex adaptive systems to ensure their survivability. Our theoretical work is rooted in applications from Manufacturing, Supply Chain Logistics, Military Logistics, Communication Networks and the Internet.

In the past, LISQ has been associated with eminent scholars like Professors Inyong Ham (PSU), Allen Soyster (North Eastern University) J. Hatvany (Hungary), and Nam P.Suh (MIT).

Currently about thirty faculty members from PSU and outside actively collaborate with LISQ. Some of them are involved with several research projects. About thirty graduate students, two researchers, two visiting faculty and one secretary are associated with the Lab.

LISQ has many active funded projects in the current academic year with a total funding of about $1.6 Million.

 

Contact Information Phone: 814 - 863 - 4799 814 - 865 -7859 E-mail: skumara@psu.edu Link to this site's stats