AI Engineer

Computer Vision, Natural Language Processing

About me image
Good knowledge in computer vision and machine learning. Having experience in building deep learning models for Vision/NLP tasks, designing microservices and maintaining system infrastructure.

Great passion for machine intelligence and resource optimization.

My resume is available here.
 

AI engineer

Member of a great team at Koïos Intelligence. My major duty is to research and develop internal AI frameworks and utilities that are integrated into our products.

18/01/2021
 

Post-doctoral researcher

Researcher in the 3D and Image Processing laboratories at University of Montreal. Working on deep learning and in-home anomaly detection for elderly.

06/01/2020
 

Ph.D. in Computer Science

Pursued the Ph.D. degree at University of Montreal. Worked on deep learning and gait analysis.

01/09/2015
 

Research assistant

Research assistant in Vision Laboratory, Danang University of Science and Technology, Vietnam. Developed algorithms for recognizing hand gestures in both static and dynamic forms.

01/07/2014
 

Internship

Intern at the Image Processing laboratory, University of Montreal. Worked on gait analysis with single camera.

01/03/2014
 

M.Sc. in Computer Science

Master student at The University of Danang, Vietnam. Worked on hand gesture recognition and gait analysis projects.

01/12/2012
 

B.S. in Information Technology

Student at Danang University of Science and Technology, Vietnam. Implemented thesis project with vanilla neural network.

01/09/2007
SmithNet: Strictness on Motion-Texture Coherence for Anomaly Detection

SmithNet: Strictness on Motion-Texture Coherence for Anomaly Detection

2021 IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

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Anomaly Detection in Video Sequence with Appearance-Motion Correspondence

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence

2019 IEEE International Conference on Computer Vision (ICCV)

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Hybrid Deep Network for Anomaly Detection

Hybrid Deep Network for Anomaly Detection

30th British Machine Vision Conference (BMVC), 2019

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Estimation of gait normality index based on point clouds through deep auto-encoder

Estimation of gait normality index based on point clouds through deep auto-encoder

EURASIP Journal on Image and Video Processing, SpringerOpen, 2019

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Assessment of gait normality using a depth camera and mirrors

Assessment of gait normality using a depth camera and mirrors

2018 IEEE Conference on Biomedical and Health Informatics (BHI)

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Skeleton-based gait index estimation with LSTMs

Skeleton-based gait index estimation with LSTMs

2018 IEEE International Conference on Computer and Information Science (ICIS)

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Estimating skeleton-based gait abnormality index by sparse deep auto-encoder

Estimating skeleton-based gait abnormality index by sparse deep auto-encoder

2018 IEEE International Conference on Communications and Electronics (ICCE)

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  • 5605 Avenue de Gaspé, Montreal, QC H2T 2A4, Canada
  • Suite 303