Truong Phuoc Hung welcome!

About Me

Creative, Active, Careful

A data scientist in Computer Vision

Dr. Truong is currently a postdoctoral researcher at Sejong University (Korea). He obtained a Ph.D. degree in Computer Science (CS) from Sejong University (Korea) in 2021, a M.Sc. degree and a B.Sc. degree in CS from the University of Science, VNUHCM-University of Science (Vietnam), in 2012 and 2009, respectively.

He is also a lecturer at the VNUHCM-University of Science and play a role as an instructor in several courses, such as computer systems, data structures & algorithms, and pattern recognition. He is a data scientist specializing in computer vision & pattern recognition. His research interests include Biometrics, Computer Vision, Image Analysis, Machine Learning, and Deep Learning.

Research Fields

Machine Learning

Traditional Techniques (LBP, 2D-LDA, Manifold...)
Deep Learning
Data Clustering (K-means, Kohonen networks)

Image Analysis

Symmetry Detection (Radon Transform)
Image Segmentation

.

Medical/ Health Sector

Facial Paralysis Evaluation (Asymmetry Measurement)

Biometrics

Facial Landmarks Detection (DB-ASM)
ID Authentication for secured system (Keberos)
Face/ Ear/ Fingerprint Recognition (Deep Features, Handcrafted Features)

Brief Introduction

Postdoctoral researcher

Working at HCI lab

Sept. 2021 ~ Current

Internship

Worked at Sugimoto lab

Aug. 2016 ~ Dec. 2016

Lecturer

Working at FIT-HCMUS

2010 ~ Present

Management

Vice President at Youth Union

2009 ~ 2010

Teacher

IT Department

2011 ~ 2016

Visted countries

Vietnam

Singapore

Thailand

Japan

South Korea

France

Italy

Spain

Resume

12 Working Years

Education

Mar 2017 ~ Aug 2021

Ph.D. in Computer Science

Sejong University, Korea

Department: Computer Science and Engineering

Dissertation: Advanced Local Appearance-based Facial Features Represenation

Sep 2010 ~ Sep 2012

Master in Computer Science

VNUHCM-University of Science

Department: Computer Science

Thesis: 2D-LDA scheme for Face Recognition

Sep 2005 ~ Sep 2009

Bachelor in Computer Science

VNUHCM-University of Science

Department: Computer Science

Thesis: Face recognition with facial salient structure analysis

Experience

Sep 2021 - Current

Postdoctoral Researcher

Sejong University

Mar 2017 - Aug 2021

Research Associate

HCI Lab, Sejong University

Aug 2016 - Dec 2016

Internship

National Institute of Informatics (Japan)

Sep 2010 - Current

Lecturer

VNUHCM-University of Science

Sep 2009 - Sep 2010

Vice President at Youth Union

VNUHCM-University of Information Technology

Personal Skills

Negotiation

Presentation

Collaboration

Adaptability

Professional Skills

Research

Python

Matlab

OpenCV

Tensorlow/Keras

Honors and Awards

Doctoral Research Fellow (2017 - 2021)

Sejong University, Korea

Recognition 2019

Vietnam embassy in South Korea

(Giấy khen của Đại sứ Đặc mệnh toàn quyền Việt Nam tại Hàn Quốc)

Recognition (2010, 2016)

Ho Chi Minh Communist Youth Union

(Bằng khen TW Đoàn TNCS Hồ Chí Minh)

Outstanding Young Lecturer (2014, 2015, 2016)

Vietnam National University - Ho Chi Minh city

(Nhà giáo trẻ tiêu biểu ĐHQG-HCM)

Lawrence S. Ting Scholarship (2007)

For excellent students

Bachelor Thesis Advisor

Nguyen Thanh Tin (2014)
- Thesis title: A development of dense trajectories features for human actions recognition in video
- Department of Computer Vision, VNUHCM-University of Science, Vietnam
- Thesis score: 9.5 / 10
Le Hoai Nham and Duong Bao Quan (2014)
- Thesis title: A process of checking security automatically on Kerberos 5 network systems
- Department of Computer Networking, VNUHCM-University of Science, Vietnam
- 01 paper published in local conference hosted by University of Science
Le Tan Dang Khoa (2015)
- Thesis title: A combination of dense trajectories and depth information for human action recognition in video
- Honor course, VNUHCM-University of Science, Vietnam
- 01 paper published in the IEEE ICIP conference
Ly Quoc Thang and Vo Dinh Tue Minh (2015)
- Thesis title: Manifold learning approach for facial image representation
- Honor course, VNUHCM-University of Science, Vietnam
- 01 paper published in the IEEE ICMLC conference
- 01 paper published in the IEEE ICCASA conference
Le Tien Tai (2015)
- Thesis title: A mobile application for rendering a real photo to art images.
- Honor course, VNUHCM-University of Science, Vietnam
- Thesis score: 8/10

Download CV

Publications

Progestious papers

Journal Articles

Truong, H.P., Nguyen, T.P., Kim, YG. (2021) Weighted statistical binary patterns for facial feature representation. Applied Intelligence (IF = 5.086, Q1), DOI: 10.1007/s10489-021-02477-1.
Truong, H.P., Vo, TMD., Le, T. (2016) Face recognition based on LDA in manifold subspace, EAI. Endorsed Trans. on Context-aware Systems and Applications , DOI: 10.4108/eai.2-5-2016.151209.
Le, T.H., Truong, H.P., Dang, K.D., Duong, D.A. (2011) Using Genetic Algorithms to Find Reliable Set of Coefficients for Face Recognition, the Information and Telecommunication Journal (Vietnam), 6(26), 124-133.

Conference Proceedings

Truong, H.P., Kim, YG. Enhanced Line Local Binary Patterns (EL-LBP): An Efficient Image Representation for Face Recognition, ACIVS (France),2018,pp.285-296 (B ranked).
Truong, H.P., Le, Q.M., Nguyen, T.L., Kim, YG. Facial landmarks detection for evaluating facial paralysis using a modern active shape model, in HCI Korea (Korea), 2018, pp. 412-415.
Vo, TMD., Truong, H.P., Le T.H. Discriminative semi-supervised learning in manifold subspace for face recognition, EAI ICCASA (Vietnam), 2015, pp. 243-253.
Ly, QT., Truong, H.P., Le, HT. Graph K-means with lost cluster approach for nonlinear manifold clustering, ICMLC (China), 2015, pp. 25-30 (C ranked)
Le, H.Q., Truong, H.P., Van, T.H., Le, T.H. A new pre-authentication protocol in Kerberos 5: biometric authentication, RIVF (Vietnam), 2014, pp. 157-162.
Le, DK.T., Truong, H.P., Le, T.H. Facial expression recognition using statistical subspace, ICIP (France), 2014, pp. 5981-5985 (B ranked).
Vo, D.M., Truong, H.P., Le, T.H. Robust facial expression recognition using Coefficient of Variation Bag of features, NICS (Vietnam), 2014, pp. 448-457.
Le, T.H., Truong, H.P., Do, HT.T., Vo, D.M. On approaching 2D-FPCA technique to improve image representation in frequency domain, SoICT (Vietnam), 2013, pp. 172-180.
Truong, H.P., Le, T.H. Fusion of bidirectional image matrices and 2D-LDA: an efficient approach for face recognition, SoICT (Vietnam), 2012, pp. 142-148.
Truong, H.P., et al. Quy trình đánh giá an ninh cho KDC trong hệ thống mạng triển khai giao thức Kerberos 5, hội nghị khoa học lần thứ 9 trường ĐH Khoa học Tự nhiên – ĐHQG HCM, 2014.

Research

Project Illustration

More projects will be displayed soon!

Weighted Statistical Binary Patterns Framework

We present a novel framework for facial feature representation based upon Local Binary Pattern, called Weighted Statistical Binary Pattern. The descriptors utilize the straight-line topology by direction for Local Binary Pattern (LBP) and have local difference sign-magnitude distributions on two-moment images composed for spatial statistic support. This approach is an extension of the Completed LBP, where the useful information on moment variations for a weighting approach is utilized. Evaluation using four standard face datasets suggests that the present framework outperforms the state-of-the-art methods and achieves 98.51% for ORL, 98.72% for YALE, 98.83% for Caltech, and 99.52% for AR dataset in terms of accuracy, respectively. Experimental results suggest that our descriptors are robust against noise, illumination conditions, diverse facial expressions, and head pose changes.