Conference Information

ICETCI 2026: International Conference on Emerging Techniques in Computational Intelligence

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Submission Date:
2026-03-20
Notification Date:
2026-06-15
Conference Date:
2026-08-19
Location:
Hyderabad, India
Years:
6
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Call For Papers

ICETCI 2026 (International Conference on Emerging Techniques in Computational Intelligence) is an academic conference held in Hyderabad, India on 2026-08-19. The paper submission deadline is 2026-03-20. Acceptance notifications are sent on 2026-06-15.

The Sixth International Conference on Emerging Techniques in Computational Intelligence, ICETCI 2026 will be held at Mahindra University, Hyderabad on Aug 19-22, 2026. This aims to highlight the evolution of topics, frontline research and multiple applications, in the domain of Computational Intelligence from the mainstream foundations to novel investigations and applications.The Conference comprises of a total of four days, out of which the first two days will be a Workshop, followed by two days of Keynote Lectures by invited international experts from Industry and Academia, and technical paper presentations. Also, the conference hosts several special sessions on emerging technologies and applications in computational intelligence. The Conference is supported by industry relevant sessions during the Workshop, conducted by various organizations. More information on the Conference may be found at http://ietcint.com/ ICETCI 2026 invites submissions that are original, previously unpublished innovative work in any area of Computational Intelligence, both emerging topics which form the theme of the conference as well as more foundational areas. The three main tracks of the Conference are: Deep Learning Sequence Modelling and General Topics in Computational Intelligence LIST OF TOPICS MODELS Neural Networks Evolutionary Algorithms Fuzzy Logic Rough Sets Bayesian Methods Reinforcement Learning Cognitive Learning Quantum Computing Learning Paradigms Memory Paradigms Reasoning Models Deep Learning Explainable AI Physics Informed Neural Networks Adversarial Machine Learning Game Theory Extreme Learning Machines Intelligent Agents Multi-Objective Optimization Unsupervised and Semi-supervised Learning Generative Models Large Language Models Neuroscience Hybrid Models APPLICATIONS Natural Language Processing Computational Genomics Recommendation Systems Music Information Retrieval Generative Adversarial Models Blockchain Augmented & Virtual Reality Industry 4.0 Cybersecurity Social and Crowd Computing Big Data Analytics Robotic Process Automation 5G/6G Communications Renewable Energy Systems Structural Health Monitoring Smart Cities Intelligent Transportation Systems Neuroscience Healthcare Graphical Models Climate Science Remote Sensing Computational Finance Computer Vision Sentiment Analysis Condition Monitoring and Control Autonomous Systems Creation of Art and Music
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