Nguyen Hong Quang

Lecturer, Department Of Computer Engineering

Ph.D. (Information Technology, Avignon University, France, 2008)
M.S. (Hanoi University of Science and Technology, 2003)
B.S. (Hanoi University of Science and Technology, 2000)

Email: quangnh@soict.hust.edu.vn quang.nguyenhong@hust.edu.vn
Web: https://users.soict.hust.edu.vn/quangnh/

Research Areas

  • Machine Learning and Deep Learning
  • Computational Biology
  • Speech Recognition

Research Interests

  • Vietnamese speech recognition
  • Music genre classification
  • Vietnamese dialects recognition
  • Cancer detection and classification
  • Arrhythmia detection
  • Biological sequences detection and classification
  • Automatic Chemical Design

Profile

Hong-Quang Nguyen is a Ph.D of Information Technology at the School of Information and Communication Technology, Hanoi University of Science and Technology. He received his Ph.D in Information Technology in 2008 from Avignon University, France. His current research interests include machine learning, deep learning and applying to speech and bioinformatics problems. Hong-Quang has published over 40 research articles in national journals and international conference proceedings.

Publications

  • NGUYEN Hong Quang, TRINH Van Loan, LE Hoang Phuong, “Tone Recognition of Isolated Vietnamese Syllables”, Proceedings of AUN/SEED-NET Regional Conference for Computer and Information Engineering 2015 (RCCIE 2015), Hanoi, 1-2 October, 2015, pp 42-48
  • Nguyen Hong Quang, Trinh Van Loan, Le Xuan Thanh, “A Novel Approach for Spoken Term Detection in Vietnamese”, The 3rd International Conference on Computing, Management and Telecommunications (IEEE ComManTel 2015), Danang, December, 28-29, 2015.
  • Nguyen Hong Quang, Trinh Van Loan, Bui Duy Chien, “PBX Autoresponder System for Information Lookup of Pupil Records”, Intelligent Information and Database Systems, 8th Asian Conference, ACIIDS 2016, Danang, Vietnam, March 14-16, 2016, Proceedings, PartII, pp 509-518.
  • Le Thu Thao, Nguyen Hong Quang, “Automatic skin lesion analysis towards melanoma detection”, Proceedings of the 2017 21st Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES 2017), Hanoi, Vietnam, November 15-17, 2017, pp106-111.
  • Nguyen Hong Quang, Tran Bao Trung, “Identify human actions based on data from mobile device sensors”, Proceedings of the National Conference on Electronics, Communications and Information Technology, Hochiminh, Vietnam, 14-15/12/2017, pp 217-221.
  • Quang H. Nguyen, Binh P. Nguyen, Son D. Dao, Balagopal Unnikrishnan, Rajan Dhingra, Savitha Rani Ravichandran, Sravani Satpathy, Palaparthi Nirmal Raja and Matthew C. H. Chua, “Deep Learning Models for Tuberculosis Detection from Chest X-ray Images”, IEEE 26th International Conference on Telecommunications (ICT 2019), Hanoi, Vietnam, 8-10 April, 2019, pp 380-384.

Teaching

  • IT4170. Digital Signal Processing
  • IT1110: Introduction to Information Technology 
  • IT3210: C Programming Language
  • IT5426. Deep Learning and Application
  • IT4929. Mobile Programming