I am a PhD Student in the Department of Data Science at New Jersey Institute of Technology, advised by Hai Phan. My current research interest lies in ensuring the safety, efficiency and trustworthiness of AI models. I obtained my Bachelor’s Degree in Computer Science at University of Engineering and Technology, Vietnam National University Hanoi. During my undergraduate, I worked on AI for biomedical applications.

I am open to opportunities for collaborations and discussions. If my research resonates with your interests or you’d like to explore potential projects together, feel free to get in touch!

Education

  • Bachelor’s Degree in Computer Science
    University of Engineering and Technology, Vietnam National University Hanoi
    2021 - 2025

Research Experience

Selected Publications

  • A Multifaceted Approach to Drug-Drug Interaction Extraction with Fusion Strategies
    Ba-Hoang Tran, Hung-Manh Hoang, Binh-Nguyen Nguyen, Duy-Cat Can, Hoang-Quynh Le
    Journal of Biomedical Informatics, 2025
    [Paper] [Code]
  • Swift Cross-Dataset Pruning: Enhancing Fine-Tuning Efficiency in Natural Language Understanding
    Binh-Nguyen Nguyen, Yang He
    International Conference on Computational Linguistics (COLING) 2025
    [Paper] [Code]
  • Improving Drug-Drug Interaction Extraction from Biomedical Literature Using Deep Multimodal Fusion
    Binh-Nguyen Nguyen, Ba-Hoang Tran, Duy-Cat Can, Trung-Hieu Do, Hoang-Quynh Le
    International Conference on the Development of Biomedical Engineering in Vietnam (BME) 2024
    [Paper]
  • Enhancing Clinical Note Generation from Doctor-Patient Conversations through Semantic Partition-Oriented Summarization
    Binh-Nguyen Nguyen, Duy-Cat Can, Hoang-Quynh Le
    IEEE International Conference on Knowledge and Systems Engineering (KSE) 2023
    [Paper]
  • UETCorn at MEDIQA-Sum 2023: Template-based Summarization for Clinical Note Generation from Doctor-Patient Conversation
    Duy-Cat Can, Quoc-An Nguyen, Binh-Nguyen Nguyen, Minh-Quang Nguyen, Khanh-Vinh Nguyen, Trung-Hieu Do, Hoang-Quynh Le
    Working Notes of CLEF 2023
    [Paper]

Teaching

  • Basic Foundations of Artificial Intelligence (DS110), Introduction to Machine Learning (CS375), Data Visualization (CS450) - Fall 2025, NJIT, Teaching Assistant

Honors and Awards

  • First Prize, Scientific Research Contest 2024, Faculty of Information Technology, VNU-UET
  • Second Prize, Scientific Research Contest 2024, VNU-UET
  • Singapore International Pre-Graduate Award - A*STAR Agency for Science, Technology and Research, Singapore
  • Top 1 of Talent Category, Bosch Activator Scholarship 2023
  • Ranked 2nd at MEDIQA-Sum Shared Task at ImageCLEF 2023
  • POSCO Asia Fellowship 2022

Contact

Email: nbn4 [AT] njit [DOT] edu; nguyenrtm [AT] gmail [DOT] com