Son Tung Do

Stevens Institute of Technology
Hoboken, NJ
sdo[at]stevens[dot]edu
Connect with me on Bluesky

I’m a Computer Science PhD student in the NLP Lab at Stevens Institute of Technology. I am advised by Dr. Jia Xu.

Interested in understanding and building autonomous intelligent systems.
More on research interests and collaboration.

I graduated from Fordham University with an MS in Data Science. I graduated Summa Cum Laude from Fordham University with a BS in Computer Science and a minor in Economics. During my undergraduate years, I was a member of the FCLC Honors Program .

Machine Learning XKCD

news

Sep 03, 2025	Paper 📝 with Dr. Yanjun Li published at IEEE BigDataService 2025.
May 01, 2025	I will be joining Stevens Institute of Technology for a PhD in Computer Science, advised by Dr. Jia Xu.
Dec 20, 2024	I just completed my Master’s program in Data Science from Fordham University and will graduate in Feb 2025. 🎓

latest posts

Sep 20, 2025	A Curated List of Resources for Starting Your AI/ML Journey
Nov 19, 2024	Bluesky resources

selected publications

BigDataService

Stock Market Forecasting with Pretrained Deep Learning Models

Son Tung Do, Anthony Chu, Yijun Zhao, and Yanjun Li

In 2025 IEEE 11th International Conference on Big Data Computing Service and Machine Learning Applications (BigDataService), 2025

DOI Bib PDF

@inproceedings{BigDataService2025,
  author = {Do, Son Tung and Chu, Anthony and Zhao, Yijun and Li, Yanjun},
  booktitle = {2025 IEEE 11th International Conference on Big Data Computing Service and Machine Learning Applications (BigDataService)},
  title = {Stock Market Forecasting with Pretrained Deep Learning Models},
  year = {2025},
  volume = {},
  number = {},
  pages = {142-146},
  keywords = {Deep learning;Analytical models;Sentiment analysis;Social networking (online);Time series analysis;Predictive models;Real-time systems;Synchronization;Stock markets;Forecasting;Sentimental Analysis;Social Media;Stock Market Change;Twitter;Large Language Models;Zero-shot Classification;Textual Entailment;Random Forest Classifier;Time-series Forecasting},
  doi = {10.1109/BigDataService65758.2025.00026},
}

EDM

Predicting GRE Scores from Application Materials in Test-Optional Admissions

Yijun Zhao, Zhengxin Qi, Son Tung Do, John Grossi, Jee Hun Kang, and Gary M. Weiss

In Proceedings of the 17th International Conference on Educational Data Mining, Jun 2024

DOI Bib PDF

@inproceedings{edm2024,
  author = {Zhao, Yijun and Qi, Zhengxin and Do, Son Tung and Grossi, John and Kang, Jee Hun and Weiss, Gary M.},
  booktitle = {Proceedings of the 17th International Conference on Educational Data Mining},
  doi = {10.5281/zenodo.12729770},
  isbn = {978-1-7336736-5-5},
  pages = {30--39},
  publisher = {International Educational Data Mining Society},
  title = {Predicting GRE Scores from Application Materials in Test-Optional Admissions},
  year = {2024},
  month = jun,
}

CNS

Adversarial Manipulation of Learning in Linear-Quadratic Zero-Sum Differential Games via Cost Poisoning

Son Tung Do, Gabrielle Ebbrecht, and Juntao Chen

In Cyber Resilience Workshop at IEEE Conference on Communications and Network Security (CNS), Oct 2023

DOI Bib PDF

@inproceedings{cns2023,
  author = {Do, Son Tung and Ebbrecht, Gabrielle and Chen, Juntao},
  booktitle = {Cyber Resilience Workshop at IEEE Conference on Communications and Network Security (CNS)},
  title = {Adversarial Manipulation of Learning in Linear-Quadratic Zero-Sum Differential Games via Cost Poisoning},
  year = {2023},
  month = oct,
  pages = {1-6},
  keywords = {Costs;Data integrity;Games;Differential games;Network security;Control systems;Data models},
  doi = {10.1109/CNS59707.2023.10288942},
}