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About

Computational Intelligence (CI) is the theory, design, application and development of biologically and linguistically motivated computational paradigms. Traditionally the three main pillars of CI have been Neural Networks, Fuzzy Systems and Evolutionary Computation. However, in time many nature inspired computing paradigms have evolved. Thus CI is an evolving field and at present in addition to the three main constituents, it encompasses computing paradigms like ambient intelligence, artificial life, cultural learning, artificial endocrine networks, social reasoning, and artificial hormone networks.

CI plays a major role in developing successful intelligent systems, including games and cognitive developmental systems. Over the last few years there has been an explosion of research on Deep Learning, in particular deep convolutional neural networks. Nowadays, deep learning has become the core method for artificial intelligence. In fact, some of the most successful AI systems are based on CI.

Learn more about CIS


Mission & Vision Starement

  • Advancing nature-inspired computational paradigms in science and engineering.
  • Be the international leader in innovative interdisciplinary research, technology transfer, real-world applications, and education in Computational Intelligence.



    • Field of Interest

    The Field of Interest of the Computational Intelligence Society (CIS) shall be the theory, design, application, and development of biologically and linguistically motivated computational paradigms emphasizing neural networks, connectionist systems, genetic algorithms, evolutionary programming, fuzzy systems, and hybrid intelligent systems in which these paradigms are contained.



    Publications Under CIS

  • IEEE Computational Intelligence Magazine - publishes research and general interest articles covering the entire scope of CIS.
    • Three Main Transactions under CIS are:
    • IEEE Transactions on Neural Networks and Learning Systems
    • IEEE Transactions on Evolutionary Computation
    • IEEE Transactions on Fuzzy Systems
    Other Publications under CIS:
    • IEEE Transactions on Emerging Topics in Computational Intelligence
    • IEEE Transactions on Cognitive and Developmental Systems
    • IEEE Transactions on Games
    • IEEE Press Book Series
    • Other Co-Sponsored Journals

    Conference organised by CIS

    The IEEE CIS organizes several conferences every year. The main conferences where the Society is a financial sponsor are listed below. The Society also is a technical sponsor of many conferences. The Society organizes other events such as Competitions, Tech Challenges, Summer Schools, Webinars, and Distinguished Lecturers. For more information please visit the conferences & eventswebpage.

    Conferences
    • IEEE World Congress on Computational Intelligence* (WCCI)
    • IEEE Symposium Series on Computational Intelligence (SSCI)
    • International Joint Conference on Neural Networks** (IJCNN)
    • IEEE Congress on Evolutionary Computation (CEC)
    • IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
    • IEEE Conference on Computational Intelligence and Games (CIG)
    • IEEE International Conference on Data Science and Advanced Analytics (DSAA)
    • IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)
    • IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
    • IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)
    • Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDLEpiRob)
    • IEEE Latin American Conference on Computational Intelligence (LA-CCI)
    • *Note: WCCI is organized on even numbered years **Note: IJCNN is jointly organized by IEEE CIS and the International Neural Networks Society

    PSIT Student Branch

    CIS has a variety of programs which include: social activities held within CIS-sponsored conferences, a webinar series, summer research grants for students, job opportunities, a Distinguished Lecturers Program that allows local CIS chapters to have lectures from world class computational intelligence researchers, as well as travel grants to present papers at CIS-sponsored conferences

    PSIT Student Branch

    Shivam Tripathi

    Research internship under the guidance of Prof. Nikhil R. Pal (President of CIS-IEEE). The research work focused on Manifold Learning for Data Visualization. During the period of two months I implemented a couple of data visualization algorithms (like t-SNE) and tried to improve upon them. Moreover, I studied and implemented various autoencoder algorithms to solve the similar problem.

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