Evaluating GeoAI-Generated Data for Maintaining VGI Maps
Niroshan, L., & Carswell, J. D. (2025). Evaluating GeoAI-Generated Data for Maintaining VGI Maps. Land, 14(10), 1978. https://doi.org/10.3390/land14101978
CV
Education
- Ph.D in Spatial Science, Technological University Dublin, 2023
- B.Sc.(Hons) in Computer Science, University of Colombo, 2018
Work experience
October 2023-present: Post-Doctoral Researcher
- School of Architecture Planning and Environmental Policy, University College Dublin
- Duties includes: Conducted various research on smart cities, Geographic Information Systems with Deep Learning and Data Analytics.
- Advisor: Prof. Francesco Pilla
October 2023-April 2024: Research Assistant
- School of Computer Science, University College Dublin
- Duties included: Developed Spring Boot application for UrbanARK using Hadoop and HBase.
- Advisor: Prof. Michela Bertolotto
March 2018-August 2018: Teaching Assistant
- University of Colombo School of Computing (Postgraduate Unit)
- Duties included: Worked as a teaching assistant for Cryptographic Systems, Information Security and Network Security.
Publications
Design and implementation of a data sharing API for supporting urban governance schemes in environmental and traffic monitoring
Niroshan, L., Moslem, S., Pilla, F., 2025. Design and implementation of a data sharing API for supporting urban governance schemes in environmental and traffic monitoring. MethodsX. https://doi.org/10.1016/j.mex.2025.103458
DeepMapper: A GeoAI Approach to Automate the VGI Mapping Workflow
Niroshan, L., Carswell, J., 2025. DeepMapper: A GeoAI Approach to Automate the VGI Mapping Workflow. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. https://doi.org/10.1109/jstars.2025.3581499
A Playful Participatory Planning System (P-PPS): A Framework for Collecting and Analyzing Player-Generated Spatial Data from Minecraft Worlds
de Sena, Í., Niroshan, L., Rosecký, J., Brůža, V., Butler, M., Cocco, C., 2025. A Playful Participatory Planning System (P-PPS): A Framework for Collecting and Analyzing Player-Generated Spatial Data from Minecraft Worlds. ISPRS International Journal of Geo-Information. https://doi.org/10.3390/ijgi14060210
Poly-GAN: Regularizing Polygons with Generative Adversarial Networks
Niroshan, L. and Carswell, J.D., 2023, June. Poly-GAN: Regularizing Polygons with Generative Adversarial Networks. In International Symposium on Web and Wireless Geographical Information Systems (pp. 179-193). Cham: Springer Nature Switzerland.
OSM-GAN: Using Generative Adversarial Networks for Detecting Change in High-Resolution Spatial Images
Niroshan, L. and Carswell, J.D., 2022. OSM-GAN: Using Generative Adversarial Networks for Detecting Change in High-Resolution Spatial Images. In International Conference on Geoinformatics and Data Analysis (pp. 179-193). Springer, Cham.
Machine Learning with Kay
Niroshan, L. and Carswell, J.D., 2022. Machine learning with kay. AGILE: GIScience Series, 3, p.11.
Post-analysis of OSM-GAN Spatial Change Detection
Niroshan, L. and Carswell, J.D., 2022. Post-analysis of OSM-GAN spatial change detection. ISPRS International Journal of Geo-Information, 11(5), p.295Niroshan, L., Carswell, J.D. (2022). Post-analysis of OSM-GAN Spatial Change Detection. In: Karimipour, F., Storandt, S. (eds) Web and Wireless Geographical Information Systems. W2GIS 2022. Lecture Notes in Computer Science, vol 13238. Springer, Cham. https://doi.org/10.1007/978-3-031-06245-2_3
DeepMapper : Automatic Updating Crowdsourced Maps
Hewa Manage, Lasith Niroshan and Carswell, James, 'DeepMapper : Automatic Updating Crowdsourced Maps' (2020). Other. 3. https://arrow.tudublin.ie/gradcamoth/3
Talks
🎯 Data is power — but only when it’s clear, accurate, and meaningful.
Workshops at RURACTIVE, Online
Conference Presentation on Poly-GAN
Conference proceedings talk at International Symposium on Web and Wireless Geographical Information Systems (W2GIS 2023), Online