Submission Deadline: 31 December 2025 View: 27 Submit to Special Issue
Dr. Suping Xu
Email: suping2@ualberta.ca
Affiliation: Department of Electrical and Computer Engineering, University of Alberta, Edmonton, T6G 2R3, Canada
Research Interests: artificial intelligence, machine learning, and data mining
Dr. Keyu Liu
Email: kyliu@just.edu.cn
Affiliation: School of Computer, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, 212100, China
Research Interests: machine learning, data mining, and uncertainty reasoning
Dr. Hengrong Ju
Email: juhengrong@ntu.edu.cn
Affiliation: School of Artificial Intelligence and Computer Science, Nantong University, Nantong 226000, China
Research Interests: artificial intelligence, knowledge discovery, and data mining
In recent years, knowledge representation and reasoning techniques have emerged as foundational elements for developing truly intelligent systems capable of addressing complex real-world challenges. These methodologies enable AI systems to organize information structurally, derive meaningful insights, and make informed decisions across diverse domains including healthcare, manufacturing, transportation, energy, and financial services. As AI applications continue to penetrate critical infrastructure and decision-making processes, the need for sophisticated knowledge models that can effectively capture domain expertise, handle uncertainty, and provide interpretable results becomes increasingly vital for both theoretical advancement and practical deployment.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Deep knowledge representation and learning
- Explainable AI with knowledge representation
- Knowledge-based systems
- Reasoning under uncertainty
- Knowledge representation in computer vision, audio analysis
- Applications in electrical power systems (e.g., grid management, renewable integration)
- Applications in healthcare (e.g., clinical decision support, medical imaging)
- Applications in manufacturing (e.g., process optimization, predictive maintenance)
- Applications in transportation (e.g., intelligent traffic management, autonomous vehicles)
We look forward to receiving your contributions to this important field that bridges theoretical AI advances with impactful real-world applications.
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