Curriculum Vitae

Curriculum Vitae of Trieu Hai Vo — PhD Student in Computer Science at Florida International University. NSF AI2ES-supported environmental AI research.

Contact Information

Name Trieu Hai Vo
Professional Title PhD Student in Computer Science
Email tvo013@fiu.edu
Location Miami, Florida

Professional Summary

PhD Student in Computer Science at Florida International University developing deep-learning methods for environmental time-series imputation and forecasting. Peer-reviewed author at the ICLR 2025 Workshop on Tackling Climate Change with Machine Learning; current research under peer review at ACM SIGKDD 2026.

Education

  • 2024 - present

    Miami, FL

    Doctor of Philosophy (Ph.D.)
    Florida International University
    Computer Science
    • Advisors: Prof. Leonardo Bobadilla (Florida International University) and Prof. Cuong V. Nguyen (Durham University, United Kingdom)
    • Research: Deep learning for environmental time series; axis-factored attention architectures; water-quality imputation and forecasting
    • Passed PhD Qualifying Examination (April 2026)
  • 2021 - 2023

    Boston, MA

    Master of Science (M.S.)
    Northeastern University
    Artificial Intelligence
    • GPA: 3.91 / 4.00
    • Concentration: Artificial Intelligence
    • Coursework: Artificial Intelligence, Machine Learning, Data Science, Data Mining, Big Data, Predictive Analytics, Healthcare Information Processing
  • 2014 - 2018

    Ho Chi Minh City, Vietnam

    Bachelor of Science (B.S.)
    Vietnam National University — University of Science
    Computer Science (Advanced Program)
    • GPA: 3.65 / 4.00 (Advanced Program, instruction in English)
    • Honors thesis: “Brain Tumor Segmentation in MRI Images Using Convolutional Neural Networks” — advised by Dr. Tien B. Dinh (Dean of the Faculty of Information Technology, VNU-HCMUS)
    • Rector’s Merit Award and Medal for outstanding academic achievement (2018)

Publications

Talks and Presentations

  • “Learning and Planning for Water Quality Monitoring” — co-presented with Prof. Leonardo Bobadilla at the FIU AI/ML and Modeling Collaboration Meeting (June 19–20, 2024, FIU International Center for Tropical Botany, Coconut Grove, FL), hosted under the NSF AI2ES ExpandAI partnership with external partners including the South Florida Water Management District (SFWMD) and Texas A&M–Corpus Christi.
  • Poster: “Lake Water Temperature Modeling Using Physics-Informed Neural Networks” — peer-reviewed poster presentation at the ICLR 2025 Workshop on Tackling Climate Change with Machine Learning (April 28, 2025, Singapore).

Experience

  • 2024 - present

    Miami, FL

    PhD Research Assistant
    Florida International University
  • 2023 - 2024

    New York, NY (Remote)

    AI Engineer
    Breathing.ai
    • Engineered webcam-based heart-rate and stress detection using remote photoplethysmography (rPPG), integrating MTTS-CAN, CHROM, and POS signal-processing methods
    • Deployed a real-time contact-free physiological-sensing pipeline on Amazon Web Services, distributed as a Chrome extension for continuous wellbeing monitoring
  • 2022 - 2022

    Boston, MA (Remote)

    AI Intern
    Breathing.ai
    • Developed machine-learning models (XGBoost, Random Forest, Convolutional Neural Networks) to predict physiological state from wearable-device and facial-video data
    • Achieved 95% accuracy on real-time drowsiness detection using a CNN-based vision model
  • 2019 - 2021

    Ho Chi Minh City, Vietnam

    Private Tutor
    Self-employed
    • Private tutoring during the COVID-19 period while preparing for U.S. graduate study; ranked first in the VietAI Machine Learning Foundation Course (June 2019) and earned IELTS Academic 7.5 (January 2021).
  • 2017 - 2018

    Ho Chi Minh City, Vietnam

    AI Intern
    KMS Technology, Inc.
    • Built a production Résumé Parsing System for enterprise hiring, combining NLP classification with named-entity extraction (title-recognition F1 = 0.92; paragraph-classification F1 = 0.99)

Awards

  • Jun 2019
    VietAI Machine Learning Foundation Course — Top Student (full tuition refund)
    VietAI (Vietnam AI Initiative)

    Ranked first in a selective nationwide cohort of the VietAI (Vietnam AI Initiative) Machine Learning Foundation Course and received a full tuition refund for top-student standing.

  • Nov 2018
    Rector's Merit Award and Medal
    Vietnam National University — University of Science (VNU-HCMUS)

    The Rector of Vietnam National University — University of Science (VNU-HCMUS) conferred this top academic honor for outstanding achievement across the Computer Science (Advanced Program) undergraduate curriculum.

  • 2014
    Academic Merit Scholarships — 4-year continuous recipient
    Vietnam National University — University of Science

    Merit-based academic scholarships awarded each semester by Vietnam National University — University of Science for sustained academic excellence in the Advanced Program (2014–2018).

Skills

Primary tools: Python, PyTorch, LaTeX, Git
Methods: Deep learning, time-series modelling, structured attention, physics-informed neural networks, diffusion models, Koopman operator methods
Domains: Environmental AI, water-quality monitoring, medical and physiological sensing

Certificates

Mathematics for Machine Learning & Data Science: DeepLearning.AI — Calculus + Linear Algebra (February 2024)
Understanding Research Methods: University of London (April 2024)
Algorithms — Elementary + Intermediate: Big-O Coding (selective Vietnamese coding program; August + November 2023)
Python — Skill Assessment: HackerRank (April 2021)
IELTS Academic 7.5: IDP Education (January 2021)

Languages

Vietnamese: Native speaker
English: Fluent (see IELTS certificate above)