CIDA 2026

The landscape of computational intelligence and data analytics is rapidly evolving, embracing cutting-edge trends such as deep learning, reinforcement learning, swarm intelligence, and explainable AI. These advancements are driving transformative changes across diverse sectors, from autonomous systems and smart healthcare to climate modelling and financial analytics. The integration of computational intelligence with big data technologies, edge computing, and cloud ecosystems is further unlocking unprecedented possibilities, enabling real-time decision-making and predictive insights at scale. As these trends converge, computational intelligence is redefining the boundaries of innovation and addressing some of the most pressing challenges of our time.

In parallel, the exponential growth of data generation—ranging from terabytes to petabytes and beyond—has revolutionized numerous scientific and commercial domains. Fields like social media, electronic health records, genomic studies, astronomical surveys, and streaming data are producing vast amounts of heterogeneous, high-velocity, and complex datasets. This phenomenon, collectively referred to as Big Data, presents significant challenges in terms of data management, integration, and analytics. Addressing issues such as timeliness, privacy, and multimodal data fusion requires innovative approaches that transcend traditional database and storage models.

CIDA 2026 aims to bring together leading academic scientists, researchers, and industry experts to exchange ideas, share groundbreaking research, and foster collaborations in the fields of Computational Intelligence and Data Analytics. This premier interdisciplinary platform will focus on:-

The seminar aspires to inspire innovation, address contemporary challenges, and illuminate pathways for future breakthroughs in computational intelligence and data analytics. With a diverse range of sessions and expert insights, CIDA 2026 will serve as a hub for knowledge exchange and a catalyst for transformative progress.

Thrust Areas

Original research papers, survey papers, case studies and academic or scholarly articles to extended versions of previously published papers are invited to be presented in the Seminar. The papers should be organized so as to accommodate abstract, introduction, state-of-the-art, objective, used methodology, obtained results, and references. Submitted papers should be original and contain contributions of theoretical, experimental or application nature, or be unique experience reports. All the accepted papers will be published in the Seminar proceedings.

Format of Submission

Papers must be submitted within the stipulated time and electronic submission in PDF is required. The page limit for a full-length paper is 6 pages and IEEE format.