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Announcements
24 September 2026
Meet Us at the 27th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2026), 19–21 November 2026, Manchester, UK
MDPI will be attending the 27th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2026), to be held in Manchester, UK, from 19 to 21 November 2026. As a leading international forum for intelligent data engineering and automated learning, the conference brings together researchers, academics, and industry practitioners to exchange ideas and share the latest advances in artificial intelligence, machine learning, and data science.
IDEAL 2026 provides a premier platform for knowledge exchange and collaboration, covering both theoretical foundations and practical applications. The conference attracts leading researchers, scientists, and professionals from around the world, offering an opportunity to explore how cutting-edge research and technological innovation can address real-world challenges in data-driven intelligent systems.
The key technical and scientific program themes include the following:
- Intelligent Data Engineering;
- Machine Learning and Deep Learning;
- Automated Learning and Optimization;
- Data Mining and Knowledge Discovery;
- Big Data Analytics and Applications;
- AI in Healthcare, Finance, and Industry;
- Emerging Trends in Intelligent Systems.
The following MDPI journals will be represented at the conference:
- AI;
- Analytics;
- MAKE;
- Computers;
- BDCC;
- Informatics;
- AI Sensors;
- AI for Society;
- AI Agents;
- Modelling;
- Knowledge;
- Sensors;
- Stats.
We cordially invite all attendees, authors, and reviewers to visit our team at the MDPI booth during the exhibition. Our representatives will be available to answer your questions, discuss potential publishing collaborations, and share more about our latest journal developments and open access initiatives in the fields of artificial intelligence, data science, and intelligent systems.
We look forward to meeting you in Manchester.
