Using Genetic Algorithms for Tasking Teams of Raven UAVs. - Marjorie Darrah; Edgar Fuller; Thilanka Munasinghe; Kristin Duling; Mridul Gautam; Mitchell Wathen (J. Intell. Robotic Syst., 2013)

A Flexible Genetic Algorithm System for Multi-UAV Surveillance: Algorithm and Flight Testing. - Marjorie Darrah; Jay Wilhelm; Thilanka Munasinghe; Kristin Duling; Steve Yokum; Eric Sorton; Jonathan Rojas; Mitchell Wathen (Unmanned Syst., 2015)

IoT Application Development Using MIT App Inventor to Collect and Analyze Sensor Data. - Thilanka Munasinghe; Evan W. Patton; Oshani Seneviratne (IEEE BigData, 2019)

Identifying the Relationship between Precipitation and Zika Outbreaks in Argentina. - Lilian Ngweta; Karan Bhanot; Ariane Maharaj; Ian Bogle; Thilanka Munasinghe (IEEE BigData, 2019)

Airline Miles Redemption. - Joseph Sebastian; Thilanka Munasinghe (IEEE BigData, 2019)

Socioeconomic and Geographic Variations that Impacts the Spread of Malaria. - Thilanka Munasinghe; Aayush Maheshwarkar; Karan Bhanot (AI4SG@AAAI Fall Symposium, 2020)

A Two-Step Framework for Parkinson's Disease Classification: Using Multiple One-Way ANOVA on Speech Features and Decision Trees. - Gaurang Prasad; Thilanka Munasinghe; Oshani Seneviratne (AI4SG@AAAI Fall Symposium, 2020)

Exploratory Data Analysis to Understand Social Determinants Important to Global Neonatal Mortality Rate. - Joshua Chuah; Thilanka Munasinghe (IEEE BigData, 2020)

Exploring Various Applicable Techniques to Detect Smoke on the Satellite Images. - Chau-Lin Charly Huang; Thilanka Munasinghe (IEEE BigData, 2020)

Investigating the Relationship Between High-Latitude Dust and Precipitation. - Ariane Maharaj; Thilanka Munasinghe (IEEE BigData, 2020)

Exploring Image Segmentation Techniques to Detect High Latitude Dust on Satellite Images. - Yichen Zhang; Thilanka Munasinghe (IEEE BigData, 2020)

Dengue Spread Information System (DSIS). - Karan Bhanot; Dominic Schroeder; Isaac Llewellyn; Nicholas Luczak; Thilanka Munasinghe (ICMHI, 2020)

Binary Classification Edge Cases in Cyclones Using AlexNet and ResNet Neural Networks. - Brendan Donnelly; Thilanka Munasinghe (IEEE BigData, 2021)

Chronic Respiratory Disease: Risk Modeling Potential and Limitations. - Alexander He 002; Thilanka Munasinghe (IEEE BigData, 2021)

Hidden Workforce: Analysis on Recognizing Unpaid Domestic Work Through Social Determinants. - James Hicks; Thilanka Munasinghe (IEEE BigData, 2021)

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)

Analysis of Preprocessing Techniques, Keras Tuner, and Transfer Learning on Cloud Street image data. - Sharmad Joshi; Jessie Ann Owens; Shlok Shah; Thilanka Munasinghe (IEEE BigData, 2021)

Image Classification to identify Transverse Cirrus Band Clouds using Convolutional Neural Networks. - Gregory Saini; Thilanka Munasinghe; Kevin Pan (IEEE BigData, 2021)

Covid Vaccine Risk Stratification. - Lucas Standaert; Thilanka Munasinghe; Dongyoung Jang; Catherine Tate; Sean Lossef; Wilson Wong (IEEE BigData, 2021)

Personality Trait Analysis in Psychoactive Drug Abusers. - Madison L. Chamberlain; Thilanka Munasinghe (ICMHI, 2021)

Development of a Rapid Prototyping COVID-19 Geographic Information System and the Influence of Testing Centers on Data Visualization. - Samantha Katcher; Josephine Lyons; Mia Price; Thilanka Munasinghe (ICMHI, 2021)

Engaging Students in Data Literacy: Lessons Learned from Data Intensive Classrooms. - Thilanka Munasinghe; Amy Svirsky (WebSci (Companion), 2021)

Diabetes Tracker: An Information System to assist and track nutritional information. - Vipula Rawte; Hongyi Huang; Michael Morrison; Janine Wu; Travis Peterson; Thilanka Munasinghe (WebSci (Companion), 2021)

Sensing and Mapping for Better Roads: Initial Plan for Using Federated Learning and Implementing a Digital Twin to Identify the Road Conditions in a Developing Country - Sri Lanka. - Thilanka Munasinghe; H. R. Pasindu (CoRR, 2021)

Landslide Likelihood Prediction using Machine Learning Algorithms. - Vasundhara Acharya; Anindita Ghosh; Inwon Kang; Thilanka Munasinghe; K. C. Binita (IEEE Big Data, 2022)

Using Graph Neural Networks to Investigate the Relationship Between the Socioeconomic Factors and Emergency Medical Service (EMS) Median Response Time in New York City. - Thilanka Munasinghe; Brandon Behlendorf (IEEE Big Data, 2022)

Data-driven Analysis of Remote Work in China during the COVID-19 Pandemic. - Yufei Wu 015; Thilanka Munasinghe; Lydia Manikonda; Oshani Seneviratne (HICSS, 2022)

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

Exploring Power Outage Prediction Using Weather and Socioeconomic Data in the Southeastern Part of the United States. - Ethan Cruz; Thilanka Munasinghe (IEEE Big Data, 2023)

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)

Perceiving the Ukraine-Russia Conflict: Topic Modeling and Clustering on Twitter Data. - Philip Chang; Ying-Tzu Yu; Abraham Sanders; Thilanka Munasinghe (BigDataService, 2023)

A Knowledge Graph Framework for Organizing Heterogeneous Datasets for Utilization in Classical and Quantum Computing: Current Challenges and Future Directions. - Thilanka Munasinghe; Kimberly A. Cornell; Jennifer C. Wei; George Berg; James A. Hendler (IEEE Big Data, 2024)

Assessment of Quantum ML Applicability for Climate Actions: Comparison of the Variational Quantum Classifier and the Quantum Support Vector Classifier with Classical ML Models. - Thilanka Munasinghe; Phung Lai; Jennifer C. Wei; James A. Hendler; Kimberly A. Cornell (IEEE Big Data, 2024)

Natural Language Processing for Extracting Rich Disease Data Aligned To Satellite Meteorological Data. - Mahi Pasarkar; Junseob Kim; Eoin O'Gara; Alan Zhang; Malik Magdon-Ismail; Thilanka Munasinghe; Jiaqi Weng; David Qiu; Ethan Cruz; Jennifer C. Wei; Ashan Pathirana (IEEE Big Data, 2024)

Energy Infrastructure Risk Modeling using Quantum and Classical Machine Learning. - Neelanga Thelasingha; Thilanka Munasinghe (IEEE Big Data, 2024)

Graph Representation Learning for Dengue Forecasting. - Jiaqi Weng; David Qiu; Ethan Cruz; Malik Magdon-Ismail; Thilanka Munasinghe; Jennifer C. Wei; Ashan Pathirana; Mahi Pasarkar (IEEE Big Data, 2024)

Prototyping an Information System to Address Geographic Disparities in Cardiac Rehabilitation Access in the United States. - Zain Magdon-Ismail; Thilanka Munasinghe (ICMHI, 2024)

Deciphering Crypto Twitter. - Inwon Kang; Maruf Ahmed Mridul; Abraham Sanders; Yao Ma 001; Thilanka Munasinghe; Aparna Gupta; Oshani Seneviratne (WebSci, 2024)

Exploring Flooded Fraction Prediction through Machine Learning Models Focusing on Medical Infrastructure in the Southeast U.S. Coastal Areas. - Jihoon Chung; Kazuki Neo; Muhammad Khan; Ethan Cruz; Zhi Zheng; Thilanka Munasinghe; Jennifer C. Wei (BigComp, 2025)