Computational Intelligence Lab

Department of Computer Science
South Asian University, New Delhi, India

Computational Intelligence

Computational intelligence (CI) is a set of nature-inspired computational methodologies and approaches to address complex real-world problems, to which mathematical or traditional modeling is not useful. CI provides a consortium of methodologies that works synergistically and provides, in one form or another, flexible information processing capabilities for handling real life ambiguous situations. Its aim is to exploit the tolerance for imprecision, uncertainty, approximate reasoning and partial truth in order to achieve tractability, robustness, low cost solutions, and close resemblance to human like decision making. Fuzzy Logic, Rough Sets, Artificial Neural Networks and Evolutionary Algorithms are the principal components of CI paradigm. The relevance of CI research in pattern recognition, machine learning, image processing, data mining and control problems, among others, along with different real life applications is evident worldwide.

Due to advent in technology, domains like data mining, natural language processing, e-commerce, bioinformatics, intelligent manufacturing systems, telecommunication, and engineering applications may also be considered as prospective candidates for CI applications.

Objectives

  • Focus on the theory, design, application, and development of computational paradigms emphasizing fuzzy systems, neural networks, evolutionary computation and hybrid intelligent systems.
  • Involve faculty, students, and researchers in collaborative learning activities through a comprehensive network for better understanding and development of state-of-the-art techniques in CI.
  • Sincerely follow the research ethics and develop innovative research in core computer science/ interdisciplinary fields, thus to contribute to the reputed journals and international conferences.
  • Develop easy to use software packages/codes to upsurge the benefits of the society and help other research colleagues to innovate modified but new products.
  • Provide theoretical and empirical information about CI to postgraduate students to develop their knowledge base which they can utilize to solve real-world problems during their dissertations/theses.

Research activity : Theory and applications of following topics

  • Fuzzy Set and Systems

  • Evolutionary Algorithms

  • Deep Learning

  • Transfer Learning