Dr. Lendaris research interests include the development and application of massively parallel computation methodology known as neural networks or connectionist networks. Methodology development focuses on the idea of matching the structure/architecture of a network to structural relations in data of problem context. This requires developing a common mechanism for describing structure in data and structure of a network so a matching process can be possible.

One approach is based on a knowledge representation formalism known as conceptual structures, and another is based on a structure representation formalism called general systems methodology (GSM) notation. Applications being pursued include pattern recognition and implementation of selected database/expert system operations. In the planning stage are control applications.

Future work includes collaboration with other faculty in developing analog/digital VLSI implementations of neural networks.