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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About Me
About me
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Posts
Infrastructure As Code Pipeline
Published:
This template is to create a standard monitoring pipeline. First, Imagine you’re part of a software development team working on a web application …
End-to-End Machine Learning Deployment
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This repo aims to push a simple TTS model into production using torchserve, kubernetes, react web app and Jenkine file for a simple CI/CD pipeline.
portfolio
Portfolio item number 1
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Short description of portfolio item number 1
Portfolio item number 2
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Short description of portfolio item number 2
publications
Real-time Sleeping Posture Recognition For Smart Hospital Beds
Recommended citation: N. P. Doan, N. D. A. Pham, H. M. Pham, H. T. Nguyen, T. A. Nguyen, H. H. Nguyen “Real-time Sleeping Posture Recognition For Smart Hospital Beds,“ 2021 International Conference on Multimedia Analysis and Pattern Recognition (MAPR), 2021. https://ieeexplore.ieee.org/abstract/document/9585289
In-bed posture classification using pressure sensor data and spiking neural network
Recommended citation: H. P. Dam, N. D. A. Pham, H. M. Pham, N. P. Doan, D. M. Nguyen, H. H. Nguyen,“In-bed posture classification using pressure sensor data and spiking neural network,“ 2021 8th NAFOSTED Conference on Information and Computer Science (NICS), 2021. https://ieeexplore.ieee.org/abstract/document/9701531
C-MELT: Contrastive Enhanced Masked Auto-Encoders for ECG-Language Pre-Training
Recommended citation: Pham, M., Saeed, A. and Ma, D., 2024. C-MELT: Contrastive Enhanced Masked Auto-Encoders for ECG-Language Pre-Training. arXiv preprint arXiv:2410.02131. https://arxiv.org/abs/2410.02131
Revisiting Masked Auto-Encoders for ECG-Language Representation Learning
Recommended citation: Hung, M. P., Saeed, A., & Ma, D. Revisiting Masked Auto-Encoders for ECG-Language Representation Learning. In NeurIPS Workshop on Time Series in the Age of Large Models. https://ink.library.smu.edu.sg/sis_research/9938/
WF-PPG: A Wrist-finger Dual-Channel Dataset for Studying the Impact of Contact Pressure on PPG Morphology
Recommended citation: Ho, M. Y., Pham, H. M., Saeed, A., & Ma, D. (2025). WF-PPG: A Wrist-finger Dual-Channel Dataset for Studying the Impact of Contact Pressure on PPG Morphology. Scientific Data, 12(1), 1-11. https://doi.org/10.1038/s41597-025-04453-7 https://www.nature.com/articles/s41597-025-04453-7
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching Assistant
AI engineer, VinBigdata, VinGroup, 2021
Teaching Assistant in Machine Learning, Deep Learning courses.