About Me
GIS Analyst and Remote Sensing Specialist with 3+ years of professional experience in enterprise GIS, spatial analysis, and satellite/UAV remote sensing, delivering geospatial solutions for local government, agriculture, defence, renewable energy, and environmental applications. Strong expertise in ArcGIS Pro, QGIS, Python automation, SQL Server geodatabases, Google Earth Engine, and spatial data governance.
Combining industry delivery with a PhD in Computer Science and 15+ years in teaching and applied research, I bring a rare blend of technical depth, analytical rigour, and stakeholder engagement to build scalable geospatial systems and decision-support tools. Author of 6 peer-reviewed publications.
Professional Experience
- Led end-to-end geospatial workflows for satellite (Sentinel-2) and UAV imagery: acquisition, processing, analysis, and reporting.
- Developed Python-based automation for satellite and UAV data processing, improving efficiency and reproducibility.
- Operated eBeeX UAV (RedEdge, Duet T, SODA 3D sensors); processed imagery using Pix4D for orthomosaics and DSMs.
- Operated RTK-GNSS systems (Trimble R10) for high-accuracy spatial data capture.
- Developed SOPs and technical documentation for UAV, GNSS, and remote sensing data acquisition.
- Delivered training, workshops, and technical reports for industry partners and research stakeholders.
- Managed parcel, zoning, and District Plan datasets within an enterprise GIS environment (SQL Server geodatabases).
- Maintained spatial data integrity and compliance with enterprise standards and governance frameworks.
- Performed data validation and prepared datasets for publication to enterprise systems.
- Produced statutory planning maps and spatial outputs for planners and internal stakeholders.
- Collaborated across business units to deliver accurate, fit-for-purpose spatial solutions.
- Manage laboratory environments for education and research, including experimental apparatus preparation and specimen handling.
- Collect and systematise field samples (gas, soil) for scientific analysis — cleaning, filtration, and quality control.
- Execute experimental setups and field research activities; compile findings into reports and scholarly papers.
- Delivered undergraduate and Master's courses in GIS, Programming, Database Systems, Data Mining, and Information Systems.
- Supervised 30+ undergraduate projects and 3 Master's graduates in computing and spatial analysis.
- Designed course materials, practical laboratory sessions, and assessment frameworks across in-person, blended, and online formats.
- Led European Space Agency-funded rice identification project (PI) for the Mekong Delta (2023–2024).
- Organised workshops in GIS, Python, and Remote Sensing for students and professionals.
- Built and analysed neural-network models (including RNN-based approaches) for biological system dynamics.
- Implemented data processing, modelling, and visualisation in Python, MATLAB, and R.
- Authored scholarly articles and analytical reports.
Selected Projects
Key projects demonstrating applied geospatial expertise across government, defence, agriculture, and environmental sectors.
Projects
Selected Publications
- Sandhya Samarasinghe, T.N Minh-Thai, Komal Sorthiya, Don Kulasiri (2025): Neurons and neural networks to model proteins and protein networks, BioSystems, Volume 258, 2025, 105613. SCIE-WoS.
- Sandhya Samarasinghe, T. N. Minh-Thai (2023): Autonomous Regeneration of Form and Function in Biological Organisms. PNAS NEXUS, Oxford Academic. ESCI-WoS.
- T. N. Minh-Thai, Sandhya Samarasinghe, Michael Levin (2021): Autonomous Regeneration Systems. Artificial Life, MIT Press. SCIE-WoS.
- T. N. Minh-Thai, Aryal J., Samarasinghe S., Levin M. (2018): Autonomous Self-repair Systems. AI 2018, Lecture Notes in Computer Science, vol 11320, Springer. Scopus.
- T. N. Minh-Thai and Nguyen Thai-Nghe (2015): Intelligent Systems in Smart Home. FDSE 2015, Lecture Notes in Computer Science, vol 9446, Springer. Scopus.
- T. N. Minh-Thai and Nguyen Thai-Nghe (2015): Abnormal Usage Detection in Smart Homes. KSE 2015, IEEE. Scopus.
Technical Skills
ArcGIS Pro / ESRI
QGIS
Python (Geospatial & Automation)
Remote Sensing (Sentinel-2, Classification)
SQL / Spatial Databases
Google Earth Engine
UAV Operations (eBeeX, Pix4D)
RTK-GNSS (Trimble R10)
Data Governance & Metadata
R / MATLAB
Tableau / Power BI
Medium Articles
Writing about geospatial analysis, remote sensing, Python automation, and applied GIS techniques.