CILab

Computational Intelligence Laboratory

CILab is a research laboratory at the Department of Computer Science of the University of Bari "Aldo Moro" 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 is currently coordinated by Prof. Giovanna Castellano.

Computational Intelligence

Computational Intelligence (CI) is concerned with the design, application, and 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, and 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 for systematized random research and optimization techniques

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

Objectives

The central objectives of 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 CILab grows around the following core topics:

  • Granular Computing

  • Interpretable Fuzzy Systems

  • Image Processing, Computer Vision and Deep Learning

  • Fuzzy Clustering for Data Streams

  • Numerical Methods for Intelligent Data Analysis

  • Computational Intelligence in Healthcare