Chang-Silva, R., Song, N., Lee, K., & Park, S. (2026). "Graph Attention Sensor Transformer for Industrial Emission Forecasting: A Comparative Study Against Classical and Deep Learning Baselines." Mathematical Geosciences. https://doi.org/10.1007/s11004-026-10320-x
Chang-Silva, R., Tariq, S., Kim, S., Moosazadeh, M., Park, S., & Yoo, C. (2024). "Satellite-informed smart sensor placement framework for near-optimal PM2.5 monitoring in urban areas." Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-024-35568-w
Chang-Silva, R., & Park, S. (2024). "Predicting Flash Droughts Using Transformers: Understanding Surface and Root Zone." EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-3793. https://doi.org/10.5194/egusphere-egu24-3793
Chang-Silva, R., Tariq, S., Loy-Benitez, J., & Yoo, C. (2023). "Smart solutions for urban health risk assessment: A PM2.5 monitoring system incorporating spatiotemporal long-short term graph convolutional network." Chemosphere. 335, 139071. https://doi.org/10.1016/j.chemosphere.2023.139071
Ching-Ávalos, S., Jaramillo-Lindao, Y., Velastegui-Montoya, A., Encalada, L., Chang-Silva, R., & Mosquera-Romero, M. (2021). "Crowdsourcing of COVID-19 Symptoms Map in Ecuadorians." Proceedings of the 19th LACCEI International Multi-Conference for Engineering, Education and Technology, Virtual, July 19–23, 2021. Full Paper #124. https://doi.org/10.18687/laccei2021.1.1.124
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA