About Me
GIS Analyst and Remote Sensing Specialist with 3+ years of experience in enterprise GIS, spatial analysis, satellite/UAV remote sensing, and geospatial automation across local government, agriculture, defence, renewable energy, and environmental sectors. Skilled in ArcGIS Pro, QGIS, Python, SQL Server geodatabases, Google Earth Engine, and spatial data governance.
PhD in Computer Science with strong experience in applied research, stakeholder engagement, and scalable geospatial solution development. Author of 6 peer-reviewed publications.
Professional Experience
- Led satellite and UAV imagery workflows from acquisition to analysis and reporting.
- Automated satellite and UAV processing workflows using Python.
- Operated eBeeX UAV platforms with RedEdge, Duet T, and SODA 3D sensors.
- Processed UAV imagery in Pix4D for orthomosaics and DSM generation.
- Operated RTK-GNSS systems (Trimble R10) for high-accuracy spatial data collection.
- Developed SOPs and technical documentation for geospatial workflows.
- Delivered training sessions, workshops, and technical reports for stakeholders.
- Managed parcel, zoning, and District Plan datasets in enterprise GIS environments.
- Maintained spatial data quality and enterprise GIS standards.
- Performed spatial data validation and prepared datasets for publication.
- Produced statutory planning maps and spatial outputs for internal stakeholders.
- Collaborated across business units to deliver fit-for-purpose spatial solutions.
- Supported laboratory and field research activities for education and research projects.
- Collected and prepared environmental samples for scientific analysis.
- Assisted with experimental setup, data collection, and reporting.
- Delivered courses in GIS, programming, databases, and data science.
- Supervised undergraduate and Master's research projects.
- Led ESA-funded rice mapping research projects.
- Organised GIS, Python, and remote sensing workshops.
- Developed neural-network models for biological system analysis.
- Implemented data processing and modelling workflows in Python, MATLAB, and R.
- Published scientific papers and technical reports.
Selected Projects
Key projects demonstrating applied geospatial expertise across government, agriculture, and technology 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 GIS, remote sensing, Python automation, and geospatial workflows on Medium.