Applied Intelligent Systems

Intelligent systems refer to a collection of computational paradigms that include neural computing, fuzzy logic, expert systems, anticipatory systems and genetic algorithms. Intelligent systems research in nuclear engineering aims at improving safety and operations of current reactors, as well as contributing to passive safety, enhanced autonomy, and remote monitoring diagnostics and control in future reactor systems.

The Applied Intelligent Systems Laboratory (AISL) is one of the leading engineering laboratories in applied artificial intelligence, with a broad range of projects sponsored by industrial and governmental sources. In addition to nuclear-related research, such projects include work on the intelligent control of the national electric power grid (CIMEG), the anticipatory control of magnetic flow meters, and artificial hearing.

Contact: Dr. Tsoukalas