IEEE MIAC invites original research, survey, and workshop proposals across six technical tracks:
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Computational Intelligence, Learning, and Optimization
- Computational intelligence and optimization methods
- Machine learning and deep learning algorithms
- Evolutionary computation and swarm intelligence
- Fuzzy systems and multi objective optimization
- Graph learning and network intelligence
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Intelligent Data Systems, Language Intelligence, and Knowledge Computing
- Natural language processing and understanding
- Knowledge graphs and semantic computing
- Information retrieval and text mining
- Intelligent pipelines for structured and unstructured data
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Vision Intelligence, Generative AI, and Autonomous Systems
- Vision intelligence and visual understanding
- Foundation models and generative intelligence
- Multimodal perception and sensor fusion
- Autonomous systems and embodied AI
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Edge Intelligence, Quantum Computing, and Future Connected Systems
- On device and edge AI
- Quantum inspired and quantum ready algorithms
- IoT and cyber physical systems
- 6G and next generation networked intelligence
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Trustworthy AI, Secure Intelligence, and Responsible Computing
- Explainability and interpretability
- Fairness, privacy, and robustness
- AI safety and governance
- Secure deployment of intelligent systems
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Computational Intelligence for Industry and Society
- Machine learning and deep learning applications in industry
- Computational intelligence in healthcare and medicine
- Computational intelligence in finance and business
- Computational intelligence in smart agriculture
- AI for sustainable engineering and societal impact
Select the track that best matches your contribution when submitting. Track chairs and scope details may be updated on this page as the program is finalized.
