Pham Huy Hieu, PhD

Pham Huy Hieu, PhD

Teaching Fellow, College of Engineering and Computer Science

College of Engineering and Computer Science

BIOGRAPHY

Dr. Pham Huy Hieu is a Teaching Fellow at the College of Engineering and Computer Science (CECS), VinUniversity, and a Research Fellow at VinUni-Illinois Smart Health Center. He received his Ph.D. in Computer Science from the Toulouse Computer Science Research Institute (IRIT), University of Toulouse, France, in 2019. Previously, he earned the Degree of Engineer in Industrial Informatics from Hanoi University of Science and Technology (HUST), Vietnam, in 2016. His research interests include Computer Vision, Machine Learning, Medical Image Analysis, and their applications in Smart Healthcare. He is the author, co-author of 30 scientific articles appeared in about 20 conferences and journals such as Computer Vision and Image Understanding, Neurocomputing, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Medical Imaging with Deep Learning (MIDL), IEEE International Conference on Image Processing (ICIP), and IEEE International Conference on Computer Vision (ICCV). He is also currently serving as Reviewers for MICCAI, ICCV, CVPR, IET Computer Vision Journal (IET-CVI), IEEE Journal of Biomedical and Health Informatics (JBHI), and Nature Scientific Reports.

Before joining VinUniversity, Dr. Hieu worked at Vingroup Big Data Institute (VinBigData) as a Research Scientist and Head of the Fundamental Research Team. With this position, he led several research projects on Medical AI, including collecting various types of medical data, managing and annotating data, and developing new AI solutions for medical analysis. More details about his research and teaching works are available at https://huyhieupham.github.io/

Google Scholar ID: https://scholar.google.com/citations?user=mXcFcNkAAAAJ&hl=en

RESEARCH INTERESTS

  • Artificial Intelligence
  • Machine Learning
  • Computer Vision
  • Deep Learning
  • Medical Image Analysis
  • Smart Healthcare

SELECTED PUBLICATIONS

JOURNAL PAPERS

  1. Hieu H. Pham, Tung T. Le, Dat Q. Tran, Dat T. Ngo, Ha Q. Nguyen A. Velastin. “Interpreting chest X-rays via CNNs that exploit disease dependencies and uncertainty labels” – Neurocomputing, 2021.
  2. Hieu H. Pham, Houssam Salmane, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin. “Spatio-Temporal Image Representation of 3D Skeletal Movements for View-Invariant Action Recognition with Deep Convolutional Neural Networks” – Special Issue “Deep Learning -Based Image Sensors” – Intelligent Sensors Journal 2020.
  3. Hieu H. Pham, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin. “Learning to Recognize 3D Human Action from A New Skeleton-based Representation Using Deep Convolutional Neural Networks” – The IET Computer Vision Journal (IET 2018).
  4. Hieu H. Pham, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin. “Exploiting Deep Residual Networks for Human Action Recognition from Skeletal Data” – The Computer Vision and Image Understanding Journal, Vol. 170 (51-66), 2018.
  • Hieu H. Pham, Thi Lan Le, and Nicolas Vuillerme. “Real-Time Obstacle Detection System in Indoor Environment for Visually Impaired Sensor Using Microsoft Kinect” – The Journal of Sensor, Vol. 11 (1-13), 2016 (SCIE 2016).

CONFERENCE PAPERS

  1. Hieu H. Pham, Dung V Do, Ha Q Nguyen. “DICOM Imaging Router: An Open Deep Learning Framework for Classification of Body Parts from DICOM X-ray Scans” –  Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021.
  2. Hieu T Nguyen, Hieu H. Pham, Nghia T Nguyen, Ha Q Nguyen, Thang Q Huynh, Minh Dao, Van Vu. “VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs” – International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021.
  3. Thanh T Tran, Hieu H. Pham, Thang V Nguyen, Tung T Le, Hieu T Nguyen, Ha Q Nguyen. “Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks” –  Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021.
  4. Hieu H. Pham, Tung T. Le, Dat Q. Tran, Dat T. Ngo, Ha Q. Nguyen. “Interpreting chest X-rays via CNNs that exploit disease dependencies and uncertainty labels” – Proceedings of Medical Imaging with Deep Learning (MIDL), 2020.
  5. Hieu H. Pham, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin. “Skeleton to Color Map: A Novel Representation for 3D Action Recognition with Inception Residual Networks” – The 25th IEEE International Conference on Image Processing, 7-10 October, 2018, Athens, Greece (ICIP), 2018.

For the full list of publications please visit: 

https://scholar.google.com/citations?user=mXcFcNkAAAAJ&hl=en

TEACHING INTERESTS

  • Introduction to Programming in Python 
  • Object-Oriented Programming
  • Computer Systems Programming in C/C++
  • Machine Learning
  • Computer Vision

RECENT INVITED TALKS

[Dec. 2018] Invited speaker, “Applied Machine Learning Days” at the French Institute of  Science and Technology for Transport, Development and Networks (IFSTTAR), Paris, France. 

[Nov. 2017] Invited speaker, “An Introduction to Deep Learning for Image and Video Interpretation” at the University Carlos III of Madrid (UC3M), Madrid, Spain. 

[July 2018] “The 2nd International Summer School on Deep Learning”, Genova, Italy. 

[Dec. 2017]  “Workshop on Face, Action and Behavior Recognition”, Télécom ParisTech, Paris, France. 

[June 2018] “Deep Learning Workshop”, Toulouse Computer Science Research Institute (IRIT), Toulouse, France.

SELECTED AWARDS AND HONORS

  • Ph.D. Scholarship for an outstanding candidate from the Cerema Research Center, France, 2016. 
  • Doctoral Travel Scholarship from L’Université Fédérale Toulouse Midi-Pyrénées and Écoles des Docteurs, Toulouse, France, 2016. 
  • Research Internship Scholarship from the ICA Research Institute, France, 2015. 
  • Graduate Internship Scholarship from the Université Grenoble Alpes, France, 2015.

EDUCATION

  • PhD in Computer Science, University of Toulouse, France, 2016 – 2019
  • Degree of Engineer in Industrial Informatics (5-year), Hanoi University of Science and Technology (HUST), 2010 – 2015