Academic Team

Huynh The Dang

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Email: dang.huynh@fulbright.edu.vn

Fields of Interest: Dr. Dang Huynh’s research interests include Computer Vision, Natural Language Processing, and their practical uses in different domains.

Education: Ph.D. 2015, Sorbonne Univerisity, France.

Bio: Dr. Huynh The Dang has over ten years of experience in AI and data science. He has held various positions in research labs and companies across the US and Europe, such as Bell Labs, INRIA (National Institute for Research in Digital Science and Technology, France) and Axon Enterprise. He is passionate about bringing AI solutions to solve real-world problems. His research interests are computer vision and natural language processing, which are two areas where AI can have a significant impact on society. He has owned patents and published papers in leading AI conferences such as CVPR, ECCV, WACV. At Fulbright University Vietnam, he gives courses related to AI and data science in the department of Computer Science.

Selected publications:

  • ATPM-REAP: A Simple and Efficient Address Tracking and Parsing for Vietnamese Real Estate Advertisement Posts, International Conference on Knowledge and Systems Engineering (KSE’22), Nha Trang, Vietnam, 2022.
  • SEND: A simple and efficient noise detection algorithm for Vietnamese real estate posts, Pacific Asia Conference on Language, Information and Computation (PACLIC’36), Manila, Philippines, 2022.
  • An End-to-End Named Entity Recognition Platform for Vietnamese Real Estate Advertisement Posts and Analytical Applications, IEEE Access Journal, 2022.
  • Leaf recognition using convolutional neural networks based features, Multimedia Tools and Applications Journal, 2022.
  • Named Entity Recognition for Vietnamese Real Estate Advertisements, NAFOSTED Conference on Information and Computer Science (NICS’21), Ha Noi, Vietnam, December 2021.
  • Binarizing MobileNet via Evolution-based Searching, Conference on Computer Vision and Pattern Recognition (CVPR’20), Seattle, USA, June 2020.
  • MoBiNet: A Mobile Binary Network for Image Classification, Winter Conference on Applications of Computer Vision (WACV’20), USA, March 2020.
  • Efficient Human-Robot Interaction using Deep Learning with Mask R-CNN: Detection, Recognition, Tracking and Segmentation, IEEE International Conference on Control, Automation, Robotics and Vision (ICARCV’18), Singapore, November 2018.

Courses:

  • Introduction to Computer Science.
  • Programming for Data Science and Visualization.
  • Machine Learning for Data Science.
  • Deep Learning for Artificial Intelligence.
  • Advanced Deep Learning.
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