Scraping Unstructured Data to Explore the Relationship between Rainfall Anomalies and Vector-Borne Disease Outbreaks. - Ethan Joseph; Thilanka Munasinghe; Heidi Tubbs; Bhaskar Bishnoi; Assaf Anyamba (IEEE BigData, 2021)

Predicting Crimean-Congo Hemorrhagic Fever Outbreaks via Multivariate Time-Series Classification of Climate Data. - Jonathan Harris; Thilanka Munasinghe; Heidi Tubbs; Assaf Anyamba (ICMHI, 2022)

From Satellites to Fields: Machine Learning Applications for Prediction of Corn Production Using NDVI, Precipitation and Land Surface Temperature for Large Producer Countries. - Saniya Nangia; Thilanka Munasinghe; Heidi Tubbs; Assaf Anyamba (IEEE Big Data, 2023)

Integrating Climate Variable Data in Machine Learning Models for Predictive Analytics of Tomato Yields in California. - Tianze Zhu; Junyi Wu; Tingyi Tan; Shuheng Wang; Thilanka Munasinghe; Heidi Tubbs; Assaf Anyamba (IEEE Big Data, 2023)