10/2014 - present: Lecturer, Faculty of Information Technology, Uninersity of Science, VNU-HCM
10/2010 - 09/2014: Researcher, Japan Advanced Institute of Science and Technology (JAIST)
09/2006 - 12/2006: Teaching Assistant, Faculty of Information Technology, Uninersity of Science, VNU-HCM
Courses Taught
Big Data
Pattern Recognition
Graph Theory
Advanced Data Mining
Text Mining and Applications
Research Interests
Extract Visual Characteristics
Exploiting Frequent Itemsets, Exploit User Comments
Selected Publication
Thao-Ngoc Nguyen, Kazunori Miyata. Multi-scale region perpendicular local binary pattern: an effective feature for interest region description. The Visual Computer 31(4): 391406 (2015)
Thao-Ngoc Nguyen, Bac Hoai Le, Kazunori Miyata. A novel integration of intensity order and texture for effective feature description. IEICE Transactions on Information and Systems E97-D(8), 2021-2029 (2014)
Thao-Ngoc Nguyen, Bac Hoai Le, Kazunori Miyata. A novel local binary pattern feature for robust pedestrian detection. In: Proceedings of NICOGRAPH International 2014, pp. 127–136 (2014)
Thao-Ngoc Nguyen, Bac Hoai Le, Kazunori Miyata. Effective feature description using intensity order local binary pattern. In: Proceedings of International Conference on Cyberworlds (CW), pp. 175–182 (2013)