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The 8th International Conference on Data-driven Optimization of Complex Systems (DOCS 2026) warmly invite submissions from researchers, practitioners, and academics in the expansive field related to data-driven optimization of complex systems. We encourage interested authors to submit previously unpublished contributions from a broad range of including but not limited to the following.
● Data-driven Learning: Deep learning, reinforcement learning, transfer learning, self-supervised learning, distributed and federated machine learning, trustworthy machine learning, generative models, large language models (LLMs), automated verification of LLMs, coordination between small and large models, AI for science and engineering, AI for education and society, AI for art, secure AI;
● Data-driven Optimization and Decision Making: Data-driven optimization algorithms, Bayesian optimization, neural combinatorial optimization, large-scale and multi-objective optimization, integration of machine learning and optimization, data-driven decision paradigm, intelligent scheduling, reinforcement learning for combinatorial optimization, distributed and federated optimization, industrial and manufacturing system analysis, and decision-making;diffusion models for optimization, LLM-assisted optimization;
● Data-driven Modeling and Control: Learning and adaptive control, robust control, intelligent control, optimization-based and optimal control, model predictive control, fault detection and identification, hybrid intelligent systems, neural control, fuzzy logic control, networked control, industrial automation, intelligent transportation systems, environmental monitoring and control, intelligent manufacturing systems, green communication systems;
● Big Data Analysis and Application: Big data storage and mining, data coordination, integration and processing, big data analytics and metrics, theory and methods of multi-source big data fusion, data base management systems, big data service, big data-oriented cloud computing technology, privacy preserving big data analysis, visual city data analysis, intelligent transportation data analysis, healthcare data analysis, bioinformatics.
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