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trieuhaivo/README.md

Trieu Hai Vo

PhD Student in Computer Science - Environmental AI

Florida International University NSF AI2ES

Website Google Scholar ORCID LinkedIn Email


Research focus

I build machine-learning methods for scientific time series, with a focus on environmental sensor data. My work studies imputation, forecasting, structured attention, and physics-informed learning for aquatic monitoring systems where measurements vary across depth, feature, and time.

time-series imputation  |  time-series forecasting  |  structured attention  |  physics-informed machine learning  |  environmental AI  |  scientific machine learning


Current work

  • Developing robust imputation methods for stratified environmental sensor networks with missing and irregular observations.
  • Studying how depth, feature, and time structure can improve scientific time-series models.
  • Building reproducible research workflows for papers, experiments, code releases, and reviewer-facing artifacts.

Doctoral advisors

Advisor Title Institution
Prof. Leonardo Bobadilla Associate Professor Knight Foundation School of Computing and Information Sciences, Florida International University
Prof. Cuong V. Nguyen Assistant Professor Department of Mathematical Sciences, Durham University, United Kingdom

Funding

My PhD research is supported in part by the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES) through the FIU-AI2ES ExpandAI partnership.


Education

Degree Institution Period
Ph.D. in Computer Science Florida International University, Knight Foundation School of CIS May 2024 - present
M.S. in Artificial Intelligence Northeastern University Sept 2021 - Jul 2023
B.S. in Computer Science (Advanced Program, instruction in English) Vietnam National University, University of Science Sept 2014 - Nov 2018

Recent updates

April 2026 - Passed the PhD Qualifying Examination at Florida International University

April 2025 - Presented in person at the ICLR 2025 Workshop on Tackling Climate Change with ML, Singapore

March 2025 - Paper accepted to the ICLR 2025 Workshop on Tackling Climate Change with ML

June 2024 - Co-presented "Learning and Planning for Water Quality Monitoring" with Prof. Bobadilla at the FIU AI2ES collaboration meeting

May 2024 - Started the PhD in Computer Science at FIU under Prof. Bobadilla and Prof. Nguyen


Miami, Florida | Open to academic collaborations on environmental AI, scientific time series, and physics-informed machine learning | Last reviewed May 2026

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