Dinh Viet Sang

Deputy Head, BK.AI Center
Lecturer, Department Of Computer Science

Ph.D. (Dorodnitsyn Computing Centre, Russian Academy of Sciences, Russia, 2013)
M.S. (1st Class Honours, Tula State University, Russia, 2011)
B.S. (1st Class Honours, Tula State University, Russia, 2009)

Email: sangdv@soict.hust.edu.vn
Web:  http://users.soict.hust.edu.vn/sangdv

Research Areas

  • Computer Vision
  • Machine Learning
  • Deep Learning

Research Interests

  • Object Classification
  • Object Detection
  • Semantic Segmentation
  • Object Tracking
  • Multi-task learning
  • Discriminative learning
  • Sparse model
  • Model compression
  • Neural Architecture Search

Current Projects

  • Evolutionary Multitasking for Solving Optimization Problems (Tài trợ bởi US Army Research Lab và US Army Asia Pacific, 2019-2022)
  • Robust dynamic hand gestures recognition for human machine interaction using multimodal features and manifold learning (Tài trợ bởi AFOSR 2017-2019).
  • Improving human action recognition using manifold representation and deep learning from multimodal data (Tài trợ bởi NAFOSTED 2017-2019).
  • Algorithmic and combinatorial methods on discrete structures (Tài trợ bởi NAFOSTED 2017-2019).


Dr. Dinh Viet Sang received the Ph.D. degree in Computer Science from Dorodnitsyn Computing Centre of Russian Academy of Sciences (CCRAS) in 2013. He is currently working at Computer Science Department, School of Information and Communication Technology (SoICT), Hanoi University of Science and Technology (HUST), Vietnam. His research interests include machine learning, deep learning and computer vision.


  • Dinh Viet Sang, Nguyen Duc Minh. Fully Residual Convolutional Neural Networks for Aerial Image Segmentation. SoICT 2018, pp. 289-296.
  • Dinh Viet Sang, Hoang Trung Dung. Two-stream Deep Residual Learning with Fisher Criterion for Human Action Recognition. SoICT 2018, pp. 297-304.
  • Dinh Viet Sang, Le Tran Bao Cuong, Effective Deep Multi-source Multi-task Learning Frameworks for Smile Detection, Emotion Recognition and Gender Classification, Informatica 2018, Vol. 42, No. 3, pp. 345–356 (SCOPUS, ESCI).
  • Dinh Viet Sang, Le Tran Bao Cuong, Pham Thai Ha, Discriminative Deep Feature Learning for Facial Emotion Recognition, MAPR 2018, pp. 1-6.
  • Xuan Cuong Pham, Manh Truong Dang, Sang Viet Dinh, Son Hoang, Tien Thanh Nguyen, Alan Wee-Chung Liew, Learning from Data Stream Based on Random Projection and Hoeffding Tree Classifier, The International Conference on Digital Image Computing: Techniques and Applications (DICTA 2017), pp. 1-8.
  • Dinh Viet Sang, Nguyen Van Dat, Do Phan Thuan, Facial Recognition Using Deep Convolutional Neural Networks, KSE 2017, pp. 130-135.
  • Dao Duy Son, Dinh Viet Sang, Huynh Thi Thanh Binh, Nguyen Thi Thuy, Label associated dictionary pair learning for face recognition, SoICT 2016, pp. 302-307.
  • Thanh N. H. Dang, Dvoenko Sergey D., Dinh Viet Sang, A Mixed Noise Removal Method Based on Total Variation, Informatica 2016, pp. 159-167. (SCOPUS).
  • Nguyen Thi Thuy, Dinh Viet Sang, Huynh Thi Thanh Binh, A New Approach for Learning Discriminative Dictionary for Pattern Classification, Journal of Information Science and Engineering, Vol. 32 No. 4, pp. 1113-1127 (July 2016) (SCI-E Index).
  • Nguyen Tien Quang, Nguyen Thi Thuy, Dinh Viet Sang, Huynh Thi Thanh Binh, An Efficient Framework for Pixel-wise Building Segmentation from Aerial Images. SoICT 2015: 282-287.


  • Computer Vision
  • Scientific Computing
  • Discrete Maths
  • Applied Algorithms