A9-1502
an.dangthithuy@phenikaa-uni.edu.vn

Full CV

DANG THI THUY AN
Lecturer

Post-doc (Computer Science and Information Engineering Institute of Information Science, Academia Sinica, Taiwan, 2023)
Ph.D. (Computer Science and Information Engineering National Central University, Taiwan, 2022)
M.Sc. (Computer Science and Information Engineering National Central University, Taiwan, 2017)
B.Sc. (Information Technology Danang university of Education, Danang, Vietnam, 2011)

RESEARCH INTERESTS

SELECTED PUBLICATIONS

  • An Dang, and Toan Vu. “Data Augmentation Methods for Cross-Device Acoustic Scene Classification.” In Conference on Information Technology and its Applications, pp. 283-294. Cham: Springer Nature Switzerland, 2024.
  • An Dang, Toan H. Vu, L. Dinh Nguyen and J Jia-Ching Wang, “EMIX: A Data Augmentation Method for Speech Emotion Recognition,” ICASSP 2023 – 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10096789, 2023.
  • An Dang, Toan H. Vu, and J Jia-Ching Wang. “Learning to remember beauty products.” In Proceedings of the 28th ACM International Conference on Multimedia, pp. 4728-4732. 2020.
  • An Dang, Toan H. Vu, and J Jia-Ching Wang. “Encoder-recurrent decoder network for single image dehazing.” In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4432-4436. IEEE, 2020.
  • Toan H. Vu, An Dang, and J Jia-Ching Wang. “A deep neural network for real-time driver drowsiness detection.” IEICE TRANSACTIONS on Information and Systems
  • An Dang, Toan H. Vu, and J Jia-Ching Wang. “Acoustic scene classification using ensemble of convnets.” In Tech. Rep., DCASE2018 Challenge. 2018.
  • An Dang, Toan H. Vu, and J Jia-Ching Wang. “Acoustic scene classification using convolutional neural networks and multi-scale multi-feature extraction.” In 2018 IEEE international conference on consumer electronics (ICCE), pp. 1-4. IEEE, 2018.
  • An Dang, Toan H. Vu, and J Jia-Ching Wang, “A survey of deep learning for polyphonic sound event detection,” 2017 International Conference on Orange Technologies (ICOT), Singapore, 2017, pp. 75-78, doi: 10.1109/ICOT.2017.8336092.
  • Toan Vu, An Dang, Le Dung, and Jia-Ching Wang. “Self-gated recurrent neural networks for human activity recognition on wearable devices.” In Proceedings of the on Thematic Workshops of ACM Multimedia 2017, pp. 179-185. 2017.
  • An Dang, Toan H. Vu, and Jia-Ching Wang. “Deep learning for DCASE2017 challenge.” Workshop on DCASE2017 Challenge, Tech. Rep. 2017.
  • Vu, Duc-Quang, Trinh Van Ha, An Dang, Trang Phung T. Thu, and Ha Minh Tan. “How Does Data Augmentation Affect to Model Performance in Long-Tailed Classification?.” In Conference on Information Technology and its Applications, pp. 337-347. Cham: Springer Nature Switzerland, 2024.
  • Vu¹, Duc-Quang, Trinh Van Ha, An Dang, and Trang Phung T. Thu. “How Does Data Augmentation Affect to Model Performance in Long-Tailed.” In The 13th Conference on Information Technology and Its Applications, 2024, Springer Nature.

PROFESSIONAL CERTIFICATIONS

  • Certified Sivananda Yoga Teacher (200-Hour Teacher Training Course – TTC)
  • Chinese Proficiency: TOCFL Certificate
    – Listening: Level B2 (CEFR B2 – Upper-intermediate, equivalent to HSK Level 5)
    – Reading: Level B1 (CEFR B1 – Intermediate, equivalent to HSK Level 4)
  • Graph Analytics for Big Data, issued by University of California San Diego and offered through Coursera.
  • Big Data Integration and Processing, issued by University of California San Diego and offered through Coursera.
  • Big Data Modeling and Management Systems, issued by University of California San Diego and offered through Coursera.

COURSES TAUGHT