Vision & Goals

The vision of the Center for Cognitive Computing is to promote learning and research in the field of Cognitive Computing. The research community should be able to exchange ideas and become accustomed to the field through formal interactions with experts of the domain. The center should work as a bridge between different departments, labs, and researchers to make new contributions to the field. Also, The center should provide a channel to bring projects and findings from Government and Private Sectors.

The Center Goal is to provide a platform to the students, faculty, and researchers to work together and initiate teaching and research activities in the area to unveil various concepts and tools. The center will provide a common ground research community to discover challenges and possible solutions in computer vision. Teaching and learning will be the backbone of the future research activities, which would involve all stake holders.

The proposed Center will contribute:

  • In an enhancement of quality education provided by the Institute with emphasis on domain specific expertise.
  • Grooming and Nurturing young talent willing to work in the field and facilitate with ample opportunities and guidance.
  • In promoting research through investigating existing problems that can be solved with available tools and application in Cognitive Computing.
  • In identification of the problems where cognitive computing could serve as one of the best solutions.

The proposed Center will have the capacity to:

  • Establish infrastructure mostly through research funding.
  • Leverage campus and state collaborations to that each benefits the other.
  • Provide seamless support between and among student service areas (including advising, tutoring, counselling, etc.), productivity involving both staff and faculty in the area.
  • Expand into new and emerging technologies.
  • Collaborate with faculty, staff, students, community-based teaching, learning, and scholarships, thereby helping to strengthen such efforts and generating new models.