Knowledge engineering and machine learning

Department of Knowledge Engineering and Machine Learning has the curriculum in majors:

  • Knowledge representation and Reasoning: Research models for knowledge representation and design knowledge bases. Besides that, develop automated reasoning method to apply in the practical intelligent systems.
  • Knowledge management: Research the methods for organization the knowledge, documents as semantic. These methods are applied to build the documents repository management system supporting semantic search and knowledge query.
  • Data mining and knowledge discovery: Research the methods to discovery the useful and new knowledge in data, big data. They can apply in e-commerce, healthcare, telecommunication and network security.

The knowledge in our curriculum has been applied to construct some intelligent systems in practice:

  • Intelligent systems in education:
    • Intelligent system for solving exercises in the courses automatically.
    • The system for searching the knowledge, the content of these courses by many requirements from the users.
    • The system for evaluation the understanding of learners by multiple choice testing.
  • Documents Resource Repository Management System supported semantic search.
  • Expert systems, decision support systems in healthcare, economic.
Dr.  Lê Đình Duy, Head
Dr. Trương Hải Bằng
Msc. Nguyễn Đình Hiển
Msc. Huỳnh Thị Thanh Thương
Msc. Phạm Nguyễn Trường An
Msc. Nguyễn Thị Ngọc Diễm
Msc. Châu Kim Hùng
Msc. Hồ Long Vân