Workshops / Workshop · KEIS 2027
Knowledge-Driven and Explainable Intelligent Systems
About this workshop
The workshop “Knowledge-Driven and Explainable Intelligent Systems (KEIS 2027)” aims to provide an interdisciplinary forum for researchers, practitioners, and industry experts working on intelligent systems that integrate learning, reasoning, uncertainty modeling, and explainability.
Recent advances in machine learning, foundation models, and intelligent data analytics have significantly improved the capability of AI systems across diverse domains. However, challenges related to interpretability, reliability, uncertainty handling, and trustworthy decision-making remain critical for deploying AI systems in real-world environments.
This workshop focuses on emerging approaches that combine knowledge-driven intelligence, explainable AI, soft computing, and hybrid learning systems to develop transparent, adaptive, and human-centered intelligent solutions. It welcomes both theoretical advances and practical applications across interdisciplinary AI domains.
Topics of interest
Topics of interest include, but are not limited to:
Intelligent Data Analytics
- Data mining and knowledge discovery
- Machine learning and deep learning
- Data-driven intelligent systems
Explainable and Trustworthy AI
- Explainable AI (XAI)
- Interpretable and reliable AI systems
- Human-centered artificial intelligence
Knowledge-Driven and Soft Computing Systems
- Knowledge-based and reasoning systems
- Rough sets, fuzzy systems, and uncertainty modeling
- Soft computing and hybrid intelligent systems
Workshop Organizers
- Dr. Quang-Thinh BuiTien Giang University
- Dr. Hung NguyenHo Chi Minh City University of Education
- Dr. Ngo Duc LuuBac Lieu University
- Asst. Prof. Minh NguyenFlorida Atlantic University, USA
- Asst. Prof. Deepti GuptaTexas A&M University, USA