Pham Huy Hieu, PhD.
College of Engineering and Computer Science
Associate Director, VinUni-Illinois Smart Health Center
Assistant Professor, Computer Science program
Biography
Dr. Pham Huy Hieu is an Assistant Professor at the College of Engineering and Computer Science (CECS), VinUniversity, and a Research Fellow cum Associate Director 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 45 scientific articles appeared in about 30 conferences and journals such as Nature Scientific Data, Computer Vision and Image Understanding, Neurocomputing, PloS ONE, Medical Physics, Frontiers in Digital Health, Biomedical Signal Processing and Control, 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), Asian Conference on Computer Vision (ACCV). He is also currently serving as Reviewers for MICCAI, ICCV, CVPR, IEEE Journal of Biomedical and Health Informatics, and Nature Scientific Reports.
Dr. Hieu Pham was recognized by the Federal Ministry of Education and Research (Germany) as an outstanding researcher in AI and Medical Imaging Research with DAAD Fellowship 2021. Recently, he received the AI Awards 2022 for the VAIPE project that he served as co-PI. He also co-authored the paper that won Best Paper Finalist Award in the 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023).
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.
• Computer Vision
• Machine Learning
• Medical Image Analysis, and their applications in Smart Healthcare
Journals
1. Hieu H. Pham*, Le, T. T., Tran, D. Q., Ngo, D. T., & Nguyen, H. Q. “Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels”. Neurocomputing, 437, 186-194 (2021).
2. Nguyen, Ha Q., Khanh Lam, Linh T. Le, Hieu H. Pham* et al. “VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations”. Nature Scientific Data 9, No. 1 (2022) 429.
3. Hieu H. Pham*, Ngoc H. Nguyen, Thanh T. Tran, Tuan M. Nguyen, and Ha Q. Nguyen. “PediCXR: An open, large-scale chest radiograph dataset for interpretation of common thoracic diseases in children”. Nature Scientific Data 10, No. 1 (2023): 240.
4. Nguyen, H. T., Nguyen, H. Q., Hieu H. Pham*, Lam, K., Le, L. T., Dao, M., & Vu, V. “VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography”. Nature Scientific Data, 10(1), 277, 2023
5. Hieu H. Pham*, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, and Sergio A. Velastin. “Exploiting deep residual networks for human action recognition from skeletal data”. Computer Vision and Image Understanding 170 (2018): 51-
6. Nguyen, Thao, Tam M. Vo, Thang V. Nguyen, Hieu H. Pham*, and Ha Q. Nguyen- “Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese”, Plos ONE 17, No. 10 (2022): e0276545
7. Quan Nguyen, Hieu H. Pham*, Kok-Seng Wong, Phi Le Nguyen, Truong Thao Nguyen, Minh N. Do. “FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Co-Training”, The IEEE Transactions on Network and Service Management.
Conferences
1. Tran, T. T., Hieu H. Pham*, Nguyen, T. V., Le, T. T., Nguyen, H. T., & Nguyen, H. Q. “Learning to automatically diagnose multiple diseases in pediatric chest radiographs using deep convolutional neural networks”. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 3314-3323).
2. [C-2] Nguyen, H. T., Hieu H. Pham*, Nguyen, N. T., Nguyen, H. Q., Huynh, T. Q., Dao, M., & Vu, V. “VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs”. In Medical Image Computing and Computer Assisted Intervention–MICCAI 2021, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part V 24 (pp. 291-301).
3. [C-3] Nang Hung Nguyen, Duc Long Nguyen, Trong Bang Nguyen, Thanh-Hung Nguyen, Huy Hieu Pham, Truong Thao Nguyen, Phi Le Nguyen. “CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization”, The 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023)
2019: Ph.D. in Computer Science, the Toulouse Computer Science Research Institute (IRIT), University of Toulouse, France.
2016: Degree of Engineer in Industrial Informatics, Hanoi University of Science and Technology (HUST), Vietnam.
May 2023: Best Paper Award in the 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023).
May 2023: The 2022 ISCN Excellence Awards for our Smart Health Initiative on developing smart solutions to provide widely accessible health monitoring and improvement for people all over the world.
Sep. 2022: AI Awards 2022
Sep. 2021: DAAD Fellowship 2021 for outstanding researcher in AI and Medical Imaging Research, Federal Ministry of Education and Research (Germany)
