Nguyen Thi Oanh

Lecturer, Department Of Computer Science

Ph.D. (Computer Science, Nancy 2 University, France, 2010)
M.S. (Hanoi University of Technology – Institute de la Francophonie pour l’Informatique, 2004)
B.S. (Hanoi University of Technology, Hanoi, Vietnam, 2001)

Email: oanhnt@soict.hust.edu.vn ; oanh.nguyenthi@hust.edu.vn
Web:  

• Computer Vision
• Content-based Retrieval

• Object detection and recognition
• Human Action Recognition
• Multimedia Information Retrieval

Thi-Oanh NGUYEN received her Ph.D. in computer science in 2010 from Nancy 2 University, France. Her current research interests include image/video representation for content-based image retrieval, object detection and recognition, human action recognition, … She many experiences in teaching on image processing and computer vision for undergraduated or gradudated students. Futher, she is member of the Vietname Association for Pattern Recognition (VAPR) and joined Program Commitee and being reviewer of several national and international journals and conferences: IET Computer Vision 2019, IEEE Access 2019, Journal of Science and Technology 2019, ACML 2016, PAKDD2017, MAPR2019, KSE 2018, MIWAI 2018, SOICT 2018, ICDT2018, …

• Luong Nguyen Van and Thi-Oanh Nguyen. “Object counting based on density using perspective transformation”, In Proceedings of RIVF. IEEE, 2019
• Tuan-Dung Le, Thi-Oanh Nguyen, and Thanh-Hai Tran. Improving multi-view human action recognition with spatial-temporal pooling and view shifting techniques. In Proceedings of the Eighth International Symposium on Information and Communication Technology (SoICT 2017), 2017. ACM, New York, NY, USA, 348-355. DOI: https://doi.org/10.1145/3155133.3155204
• Hoa M. Le, Thi-Oanh Nguyen, and Dung Ngo-Tien. 2016. Fully automated multi-label image annotation by convolutional neural network and adaptive thresholding. In Proceedings of the Seventh Symposium on Information and Communication Technology (SoICT ’16), 2016. ACM, New York, NY, USA, 323-330. DOI: https://doi.org/10.1145/3011077.3011118 (best paper award)
• Duc-Cuong Dao, Thi-Oanh Nguyen, and Stéphane Bressan. Factors Influencing the Performance of Image Captioning Model: An Evaluation. In Proceedings of the 14th International Conference on Advances in Mobile Computing and Multi-Media (MoMM ’16), 2016. ACM, New York, NY, USA, 235-243. DOI: https://doi.org/10.1145/3007120.3007136
• Lương-Hiên Nguyen and Thi-Oanh Nguyen, A Copy Detection Method Based on SCAM and PPCHECKER, the Sixth International Symposium on Information and Communication Technology, SoICT 2015.

• Best paper award. The Seventh International Symposium on Information and Communication Technology (SoICT 2016).
• Poitou-Charentes regional scholarship: invited researcher, 2014
• French government scholarships (Bourses du gouvernement francais – BGF),2006-2009
• Lorraine regional scholarships, 2006-2009

• IT3090: Database
• IT3290/IT3290E: Database Lab
• IT4851: Multimedia Database System
• IT4090Q: Image Processing
• IT6870 / IT5409: Computer Vision

• Improving human action recognition using manifold representation and deep learning from multimodal data (Nafosted, member).
• Robust dynamic hand gestures recognition for human machine interaction using multimodal features and manifold learning (Afors, member).
• Learning an effective representation for the hidden semantics (NICOP, member).
• Action recognition based on multi-views information (investigator).