Hien M. Nguyen
Lecturer, Faculty of Computer Science and Engineering
Address: 175 Tay Son, Dong Da, Hanoi, Vietnam
Email: hiennm@tlu.edu.vn
Research Interests
Data mining: Imbalanced learning, outlier detection, data stream mining, time series analysis.
Machine learning: Kernel methods, ensemble methods, neural networks.
Publications
Modeling Emotional Evaluation of Traditional Vietnamese Aodai Clothes Based on Computer Vision and Machine Learning. Thang Cao, Hung T. Nguyen, Hien M. Nguyen, and Yukinobu Hoshino. Industrial Applications of Affective Engineering, 2014.
An Energy-Aware Routing Protocol for Wireless Sensor Networks Based on k-Means Clustering. Thai T. Vu, Viet D. Nguyen, and Hien M. Nguyen. International Conference on Advanced Engineering – Theory and Applications, 2013.
A Comparative Study on Sampling Techniques for Handling Class Imbalance in Streaming Data. Hien M. Nguyen, Eric W. Cooper, and Katsuari Kamei. International Conference on Soft Computing and Intelligent Systems, 2012.
Adaptive Data Reuse for Classifying Imbalanced and Concept-Drifting Data Streams. Hien M. Nguyen, Eric W. Cooper, and Katsuari Kamei. International Journal of Innovative Computing, Information, and Control, 2012.
Mining Imbalanced and Concept-Drifting Data Streams Using Support Vector Machines. Hien M. Nguyen, Eric W. Cooper, and Katsuari Kamei. ICIC Express Letters, 2012.
Online Learning from Imbalanced Data Streams. Hien M. Nguyen, Eric W. Cooper, and Katsuari Kamei. International Conference on Soft Computing and Pattern Recognition, 2011.
Borderline Over-Sampling for Imbalanced Data Classification. Hien M. Nguyen, Eric W. Cooper, and Katsuari Kamei. International Journal of Knowledge Engineering and Soft Data Paradigms, 2011.
Borderline Over-Sampling for Imbalanced Data Classification. Hien M. Nguyen, Eric W. Cooper, and Katsuari Kamei. International Workshop on Computational Intelligence and Applications, 2009. (Best presentation award)
Classification of Vietnamese Documents Using Support Vector Machines. Giang L. Nguyen and Hien M. Nguyen. Journal of Research and Development on Information and Communication Technology, 2005. (in Vietnamese)
Education
2013: Ph.D. in Information Science and Engineering, Ritsumeikan University. Thesis title: Learning Algorithms for Classification in Imbalanced Data Environments.
2010: M.E. in Information Science and Engineering, Ritsumeikan University. Thesis title: Classification of Imbalanced Data Sets Using Over-Sampling and Support Vector Machines.
2004: B.E. in Computer Science and Engineering, Hanoi University of Science and Technology. Thesis title: Vietnamese Text Classification Using Support Vector Machines. In the same year, I also received the certificate of Japan Fundamental Information Technology Engineer.
Teaching
Introduction to Programming
Data Structures and Algorithms
Information Retrieval and Web Search
Programming
Machine learning: Scikit-Learn, LIBSVM, Keras, TensorFlow, PyTorch
Imbalanced learning: Imbalanced-Learn
Outlier detection: PyOD
Software
Writing: TeXstudio
Plotting: Matplotlib
Drawing: Inkscape