IEEE CIS promotes the study and application of artificial intelligence, machine learning, and computational techniques to address complex problems across various domains. Through research, innovation, and collaboration, it advances intelligent systems, fosters knowledge exchange, and supports the development of adaptive, efficient, and scalable solutions for real-world challenges in science and industry.
IEEE Computational Intelligence Society
Vision
To envision a world where computational intelligence drives innovation, enhances decision-making, and solves complex problems. It aims to advance research, education, and applications of intelligent systems for the benefit of humanity and technological progress.
Mission
To advance computational intelligence through cutting-edge research, interdisciplinary collaboration, and global education. It fosters innovation in neural networks, fuzzy systems, and evolutionary computation, empowering professionals and researchers to develop intelligent technologies that address real-world challenges and improve society's well-being.
Objectives
- Conduct training workshops on AI and machine learning.
- Organize competitions in neural networks.
- Support real-world applications of AI.
- Encourage collaboration with AI industries.
- Host seminars on evolutionary computing.
- Develop AI-driven solutions for society.
- Foster knowledge-sharing in smart computing.
- Support students involved in AI-based startups.
Our Team
Experts united, outcomes delivered.
Faculty Advisor, MBU
Dr. C. Sudarsana Reddy
Chair, MBU
Mr. Mannipudi Prabhu Das
Vice-Chair, MBU
Mr. Yamasani Srinivas Reddy
Secretary, MBU
Mr. Chittuluri Tharun Kumar
Treasurer, MBU
Mr. Vennapusa Swetha
Web Master, MBU
Ms. Mallappa Gari SireeshaEvents
- An IEEE Distinguished Lecture: Machine Intelligence for eHealth: Hearables for 24/7 Doctorless Hospitals? On 02.11.2024.
- An IEEE Distinguished Lecture: “From Nature-inspired Computation to Machine Learning” on 20.12.2024.
- An Expert Lecture on AI-Driven Innovations in Nanobiotechnology: Advancing Drug Delivery and Environmental Remediation on 21.12.2024.
- An Expert Lecture on “Leveraging AI and IoMT for Transformative Healthcare Solutions: Insights and Strategies” on 25.01.2025.
- An InnovateX – Open-Source Hackathon on 21.02.2025.
- A Git & GitHub Workshop on 22.02.2025.
- A Guest Lecture on Web Domain and its Future Scope on 13.03.2025.
- An Expert Lecture on "Technology in Healthcare & The Healthcare System: Innovation and Impact" on 04.04.2025.
- An XHorizon Hackathon for MBU Students on 13.04.2025.