
Vasavi College of Engineering, Hyderabad, Telangana
The International Conference on Computational Intelligence and Data Analytics (ICCIDA) is a prestigious biennial conference hosted by the Department of Information Technology at Vasavi College of Engineering in Hyderabad, India. This event aims to serve as a premier platform for researchers, scientists, and educators to share and exchange knowledge in the rapidly evolving fields of Computational Intelligence and Data Analytics. The ICCIDA 2026 will mark the fourth edition of this conference series and is supported by the Vasavi Academy of Education, which has a rich tradition of excellence in technology-based education since its establishment in 1981. Participants can expect to engage in discussions on cutting-edge research and explore potential research problems and future prospects in their respective fields.The ICCIDA series has a strong track record, with previous editions held in 2020, 2022, and 2024, where proceedings were published in Springer’s Lecture Notes on Data Engineering and Communications Technologies, and indexed in SCOPUS. Additionally, the conference fosters the participation of young researchers and encourages them to present papers on various topics related to their research areas, including but not limited to Deep Learning, Remote Sensing, Data Provenance, Workflows, and Scientific Data Management. The peer-review process for the conference is managed using Microsoft’s CMT service, which has been provided free of charge, covering all associated costs.Hyderabad, the capital city of Telangana, India, serves as an ideal backdrop for the conference. Known for its vibrant technology industry, the city offers a blend of modern and historical attractions, including the Golconda Fort and the iconic Charminar. Attendees will not only benefit from the academic discussions but will also have the opportunity to experience the rich cultural heritage of the region. The conference is expected to attract a diverse audience, including Assistant Professors, Proj
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