International Conference on Intelligent Systems and Data-driven Computing

The International Conference on Intelligent Systems and Data-Driven Computing explores the convergence of intelligent algorithms with the rich insights available through modern data analytics. The conference addresses how learning-based systems can be designed to extract actionable knowledge from complex, high-dimensional datasets across diverse application domains. Research themes include supervised and unsupervised learning for decision support, neural network architectures for prediction, data-driven control systems, intelligent anomaly detection, and the ethical dimensions of deploying data-driven AI in high-stakes environments.

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We invite submissions on intelligent systems design, data-driven machine learning methods, neural networks for prediction and classification, optimization algorithms for learning systems, intelligent decision support, federated and privacy-preserving learning, and applications of data-driven AI in healthcare, manufacturing, finance, and transportation. Papers presenting novel algorithms with empirical validation or rigorous theoretical guarantees are especially encouraged.