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 |
| 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
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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)
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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
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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
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2026 Depth-wise Multivariate Imputation for Environmental Time Series
ACM SIGKDD 2026 (under peer review)
Trieu H. Vo, Cuong V. Nguyen, Ana Sophia Cavalcanti, Leonardo Bobadilla
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2025 Lake Water Temperature Modeling Using Physics-Informed Neural Networks
ICLR 2025 Workshop on Tackling Climate Change with Machine Learning, Singapore
Trieu H. Vo, Cuong V. Nguyen, Dongsheng Luo, Leonardo Bobadilla
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
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2024 - present Miami, FL
PhD Research Assistant
Florida International University
- The NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES) funds my doctoral research via the FIU–AI2ES ExpandAI partnership
- Developing Depth-wise Multivariate Imputation (DMI) — a deep-learning architecture with axis-factored attention for imputing missing measurements across multi-depth environmental sensor networks (see Publications)
- Designed and implemented a physics-informed neural network combining Koopman operator theory with LSTM recurrent networks for long-horizon lake water-temperature forecasting; published at ICLR 2025 Workshop on Tackling Climate Change with Machine Learning
- Conducting empirical studies on real-world water-quality datasets, including the LakeBeD-US benchmark and a newly collected multi-depth dataset from Miami, FL
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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
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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
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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).
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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
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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.
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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.
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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).