Optimization of system architecture for Big Data analysis in climate science. - Huikyo Lee; Luca Cinquini; Daniel J. Crichton; Amy Braverman (IEEE BigData, 2015)

Exploring a graph theory based algorithm for automated identification and characterization of large mesoscale convective systems in satellite datasets. - Kim Whitehall; Chris A. Mattmann; Gregory Jenkins; Mugizi Robert Rwebangira; Belay Demoz; Duane Waliser; Jinwon Kim; Cameron Goodale; Andrew F. Hart; Paul M. Ramirez; Michael J. Joyce; Maziyar Boustani; et al. (Earth Sci. Informatics, 2015)

Towards a distributed infrastructure for data-driven discoveries & analysis. - Mohammed Elshambakey; Mohamed Khalefa; William J. Tolone; Sreyasee Das Bhattacharjee; Huikyo Lee; Luca Cinquini; Shannon Schlueter; Isaac Cho; Wenwen Dou; Daniel J. Crichton (IEEE BigData, 2017)

VIFI: Virtual information fabric infrastructure for data-driven discoveries from distributed earth science data. - Ashit Talukder; Mohammed Elshambakey; Sameer Wadkar; Huikyo Lee; Luca Cinquini; Shannon Schlueter; Isaac Cho; Wenwen Dou; Daniel J. Crichton (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

How Long should the MISR Record Be when Evaluating Aerosol Optical Depth Climatology in Climate Models? - Huikyo Lee; Michael J. Garay; Olga V. Kalashnikova; Yan Yu; Peter B. Gibson (Remote. Sens., 2018)

Quantification of Ammonia Emissions With High Spatial Resolution Thermal Infrared Observations From the Hyperspectral Thermal Emission Spectrometer (HyTES) Airborne Instrument. - Le Kuai; Olga V. Kalashnikova; Francesca M. Hopkins; Glynn C. Hulley; Huikyo Lee; Michael J. Garay; Riley M. Duren; John R. Worden; Simon J. Hook (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

A Visual Analytics Framework for Distributed Data Analysis Systems. - Abdullah al-Raihan Nayeem; Mohammed Elshambakey; Todd Dobbs; Huikyo Lee; Daniel J. Crichton; Yimin Zhu; Chanachok Chokwitthaya; William J. Tolone; Isaac Cho (IEEE BigData, 2021)

Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning. - Ignacio Segovia-Dominguez; Huikyo Lee; Yuzhou Chen; Michael J. Garay; Krzysztof M. Gorski; Yulia R. Gel (KDD, 2021)

TLife-LSTM: Forecasting Future COVID-19 Progression with Topological Signatures of Atmospheric Conditions. - Ignacio Segovia-Dominguez; Zhiwei Zhen; Rishabh Wagh; Huikyo Lee; Yulia R. Gel (PAKDD (1), 2021)

Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity. - Ignacio Segovia-Dominguez; Huikyo Lee; Zhiwei Zhen; Yuzhou Chen; Michael J. Garay; Daniel J. Crichton; Rishabh Wagh; Yulia R. Gel (CoRR, 2021)

Temporal and Spatial Autocorrelation as Determinants of Regional AOD-PM2.5 Model Performance in the Middle East. - Khang Chau; Meredith Franklin; Huikyo Lee; Michael J. Garay; Olga V. Kalashnikova (Remote. Sens., 2021)

DCPViz: A Visual Analytics Approach for Downscaled Climate Projections. - Abdullah al-Raihan Nayeem; Huikyo Lee; Dongyun Han; Mohammed Elshambakey; William J. Tolone; Todd Dobbs; Daniel J. Crichton; Isaac Cho (IEEE Big Data, 2022)

Learning on Health Fairness and Environmental Justice via Interactive Visualization. - Abdullah al-Raihan Nayeem; Ignacio Segovia-Dominguez; Huikyo Lee; Dongyun Han; Yuzhou Chen; Zhiwei Zhen; Yulia R. Gel; Isaac Cho (IEEE Big Data, 2022)

Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond. - Naoki Abe; Kathleen Buckingham; Yuzhou Chen; Bistra Dilkina; Emre Eftelioglu; Auroop R. Ganguly; Yulia R. Gel; James Hodson; Ramakrishnan Kannan; Huikyo Lee; Jiafu Mao; Rose Yu (KDD, 2023)

SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks. - Jae Choi; Yuzhou Chen; Huikyo Lee; Hyun Kim; Yulia R. Gel (AAAI, 2024)

Firecast Zigzag Convolutional Network for Wildfire Prediction. - Yuzhou Chen; Joel Chacón Castillo; Huikyo Lee; Yulia R. Gel (IEEE Big Data, 2024)

A Survey on Exploratory Spatiotemporal Visual Analytics Approaches for Climate Science. - Abdullah al-Raihan Nayeem; Dongyun Han; Huikyo Lee; Donghoon Kim 001; Daniel Feldman; William J. Tolone; Daniel J. Crichton; Isaac Cho (CoRR, 2024)

Fire-D: Analysis and ML-Ready NASA-Centric Remote Sensing of Wildfire and Smoke. - Yuzhou Chen; Nicholas LaHaye; Jae Won Choi; Zhiwei Zhen; Philip E. Davis; Huikyo Lee; Manish Parashar; Yulia R. Gel (Zenodo, 2024)

Development and Application of Self-Supervised Machine Learning for Smoke Plume and Active Fire Identification from the FIREX-AQ Datasets. - Nicholas LaHaye; Anistasija Easley; Kyongsik Yun; Huikyo Lee; Erik Linstead; Michael J. Garay; Olga V. Kalashnikova (CoRR, 2025)