About Me

Thai Tran, PhD

GeoAI & Geospatial Data Scientist
📍 Lincoln, New Zealand
📧 me@tnmthai.com

Welcome to my personal blog. This space is where I share my work, thoughts, and experiments at the intersection of artificial intelligence, geospatial science, and remote sensing—as well as a few personal interests along the way.

🌍 Who I Am

I hold a PhD in Computer Science and Information Systems from Lincoln University, New Zealand (2021), where I was on the Dean’s List. My doctoral research was conducted under mentorship from Lincoln University and Harvard University’s Wyss Institute, focusing on computational models of autonomous self-repair and regeneration systems.

My core expertise lies in GeoAI—the integration of AI, GIS, and Earth observation data to solve real-world environmental and agricultural problems. I am particularly interested in turning complex spatial data into clear, actionable insights for decision-making.

🛰️ What I Work On

I work extensively with:

  • GIS & Spatial Platforms: QGIS, ArcGIS, Google Earth Engine

  • Programming & Data Science: Python, statistical analysis, machine learning

  • Remote Sensing Data:

    • Satellite imagery (Sentinel-2, PlanetScope)

    • UAV imagery (eBeeX and multispectral sensors)

My applied work includes:

  • Crop health and vegetation monitoring

  • Irrigation detection and agricultural analytics

  • Automated satellite and UAV image processing

  • Environmental and spatial data modeling

💼 Professional Experience

Geospatial Research Assistant

Lincoln Agritech Ltd., New Zealand
05/2022 – 10/2025

I worked on applied research projects involving GIS, remote sensing, and geospatial data analysis. My role covered the full pipeline—from data acquisition to modeling and reporting.

Key highlights:

  • Developed Python workflows for satellite and UAV imagery processing

  • Hands-on experience with UAVs (eBeeX), Pix4D, and field sensors

  • Conducted geospatial analysis using QGIS, ArcGIS, and GEE

  • Contributed to workshops, technical reports, and research publications

Postdoctoral Researcher – AI / Machine Learning

Lincoln University, New Zealand
08/2021 – 12/2021

  • Applied neural networks and RNNs to biological cell-cycle modeling

  • Processed and analyzed complex datasets using Python and MATLAB

  • Produced research papers and technical reports based on model results

Research Technician

Bio-Protection Research Centre, Lincoln University
01/2022 – 04/2022

  • Supported laboratory and field experiments

  • Collected, cleaned, and prepared soil and gas samples

  • Managed lab facilities and experimental setups

Statistical Analysis & Machine Learning Consultant

N3T, Whangārei, New Zealand
02/2022 – 04/2022

  • Data cleansing, statistical analysis, and ML modeling

  • Interactive data visualizations and report generation

  • Backend–frontend integration and AWS setup

🎓 Education

  • PhD in Information Systems & Computer Science
    Lincoln University, New Zealand (2017–2021)

  • MSc in Computer Science and Engineering
    National Chiao Tung University, Taiwan (2012–2014)

📚 Publications & Academic Service

I have published in international journals and conferences indexed by Web of Science and Scopus, including BioSystems, PNAS Nexus, Artificial Life (MIT Press), and Springer LNCS.

I also serve as a peer reviewer for several international conferences, such as:

  • ICCCI 2025

  • ICONIP 2024

  • ISDS 2023–2024

  • ACIIDS 2024

✍️ Writing & Blog Topics

On this blog, I write about:

  • GeoAI & geospatial data science

  • Remote sensing and spatial programming

  • Satellite image processing techniques

  • Python for geospatial and AI applications

Some example topics include:

  • Spatial programming & remote sensing

  • Applying masks on satellite images

  • Image processing with Python

  • Using AI APIs in real-world workflows

🌱 Beyond Work

Outside of research and coding, I enjoy:

  • 📸 Photography (iPhone, Canon, GoPro)

  • 🌏 Traveling and discovering new places

  • ♟️ Playing chess and Rummikub

  • ❤️ Community service, including blood and plasma donation

📌 This Blog

This website is my personal knowledge base—a place to document ideas, share technical insights, and connect with others working in geospatial science, AI, and environmental applications.

Thank you for stopping by.

— Thai Tran

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