About Computional Intelligence Society (CIS)
Computational Intelligence Society (CIS) is a part of the IEEE organization that focuses on areas like neural networks, fuzzy systems, and evolutionary computation.
Computational Intelligence Society (CIS) is a part of the IEEE organization that focuses on areas like neural networks, fuzzy systems, and evolutionary computation.
To advance the theory, design, application, and development of biologically and linguistically motivated computational paradigms. The society envisions a world where computational intelligence technologies empower innovation, solve real-world problems, and enhance the quality of life across diverse domains.
Advance Innovation: Promote the development and application of computational
intelligence technologies through cutting-edge research, interdisciplinary collaboration, and
real-world problem solving.
Enhance Education: Support lifelong learning and skill-building by offering
educational resources, student programs, workshops, and mentorship opportunities for all levels of
experience.
Foster Collaboration: Build a global community of researchers, professionals, and
students to share knowledge, tools, and experiences in computational intelligence.
Support Ethical Growth: Encourage responsible and ethical development of
intelligent systems that benefit society and respect human values and well-being.
Inspire Leadership: Provide platforms and opportunities for individuals to lead,
innovate, and make impactful contributions within IEEE CIS and the broader tech ecosystem.
Promote Excellence: Support and encourage high-quality research in computational
intelligence by facilitating access to top-tier journals, conferences, and academic
collaborations.
Expand Global Reach: Grow the society’s presence worldwide by establishing active
chapters, hosting international events, and engaging with diverse communities in engineering and
technology.
Bridge Academia and Industry Strengthen connections between academic research and
industry applications, ensuring that innovations in computational intelligence have real-world
impact.
Increase Member Engagement: Create meaningful opportunities for members to
participate in projects, committees, and events that foster professional growth and community
involvement.
Advance Computational Intelligence: By fostering innovation in neural networks,
fuzzy systems, evolutionary algorithms, and other biologically inspired technologies to address
real-world challenges.
Educate and Empower: Through workshops, conferences, publications, and mentorship
that develop the next generation of thinkers, researchers, and leaders in intelligent systems.
Build a Global Community: Connecting professionals, students, and researchers
across disciplines and countries to collaborate, share ideas, and inspire progress.
Uphold Ethical Standards: Promoting responsible AI and intelligent systems that
align with human values, fairness, transparency, and societal good.
Bridge Gaps Between Research and Industry: Encouraging the translation of academic
breakthroughs into scalable, impactful technologies in sectors like healthcare, finance, robotics,
and sustainability.
Inspire Future Generations: Inspire and engage the next generation of engineers
through outreach programs, role models, and success stories.
At NBKRIST, we are committed to supporting and advancing the careers of engineers through various initiatives and programs.
MR. K. PENCHALAIAH
P. VEERA NARAYANA
N. SNEHALATHA
M.LEKHA SREE