CILab

Computational Intelligence Laboratory

CILab is a research laboratory at the Department of Informatics of the University of Bari that engages in fundamental as well as applied research in the field of Computational Intelligence.

The CILab research group was formed by Prof. Anna Maria Fanelli and it is currently coordinated by Prof. Giovanna Castellano.

Computational Intelligence

Computational Intelligence (CI) concerns the design, the application, and the development of biologically and linguistically motivated computational paradigms. The guiding principle of CI is to exploit the key features of such paradigms that are their tolerance to imprecision, approximation, partial truth in order to obtain tractability, robustness and low cost solutions to real-world problems characterized by different degrees of uncertainty. CI takes advantage of different methodologies that are combined in a synergistic and complementary, rather than competitive, way:

  • Neural Computation supplies system identification, learning and adaptation;
  • Fuzzy Logic provides a methodology for dealing with imprecision, approximate reasoning, rule based systems and computing with words;
  • Genetic Algorithms allow a systematized random research and optimization techniques.

This is the way leading to the so-called "hybrid intelligent systems" which may have great potential in improving the interaction between man and machine in the very next future.

Objectives

Central objectives of the CILab evolve around four axes:

  • investigation and mathematical foundation of CI methods
  • development of innovative CI methods
  • application of the acquired expertise to address challenging real-life problems in different branches of science
  • dissemination of this knowledge to undergraduate and postgraduate students

Research

Current research at the CILab grows around the following core topics:

  • Granular Computing
  • Interpretable Fuzzy Systems
  • Fuzzy Image Processing and Retrieval
  • Fuzzy Clustering for Data Streams
  • Numerical Methods for Intelligent Data Analysis
  • Computational Intelligence in Healthcare