Towards an Integrated Cyberinfrastructure for Scalable Data-driven Monitoring, Dynamic Prediction and Resilience of Wildfires. - Ilkay Altintas; Jessica Block; Raymond A. de Callafon; Daniel Crawl; Charles Cowart; Amarnath Gupta; Mai H. Nguyen; Hans-Werner Braun; Jürgen P. Schulze; Michael Gollner; Arnaud Trouve; Larry Smarr (ICCS, 2015)

Determining feature extractors for unsupervised learning on satellite images. - Behnam Hedayatnia; Mehrdad Yazdani; Mai H. Nguyen; Jessica Block; Ilkay Altintas (IEEE BigData, 2016)

Big Data Techniques for Public Health: A Case Study. - Yannis Katsis; Natasha Balac; Derek Chapman; Madhur Kapoor; Jessica Block; William G. Griswold; Jeannie Huang; Nikos Koulouris; Massimiliano Menarini; Viswanath Nandigam; Mandy Ngo; Kian Win Ong; et al. (CHASE, 2017)

An Unsupervised Deep Learning Approach for Satellite Image Analysis with Applications in Demographic Analysis. - Jessica Block; Mehrdad Yazdani; Mai H. Nguyen; Daniel Crawl; Marta Jankowska; John J. Graham; Thomas A. DeFanti; Ilkay Altintas (eScience, 2017)

Firemap: A Dynamic Data-Driven Predictive Wildfire Modeling and Visualization Environment. - Daniel Crawl; Jessica Block; Kai Lin; Ilkay Altintas (ICCS, 2017)

Land Cover Classification at the Wildland Urban Interface using High-Resolution Satellite Imagery and Deep Learning. - Mai H. Nguyen; Jessica Block; Daniel Crawl; Vincent Siu; Akshit Bhatnagar; Federico Rodríguez; Alison Kwan; Namrita Baru; Ilkay Altintas (IEEE BigData, 2018)

Scalable Detection of Rural Schools in Africa Using Convolutional Neural Networks and Satellite Imagery. - Mehrdad Yazdani; Mai H. Nguyen; Jessica Block; Daniel Crawl; Naroa Zurutuza; Dohyung Kim; Gordon Hanson; Ilkay Altintas (UCC Companion, 2018)

Scaling Deep Learning-Based Analysis of High-Resolution Satellite Imagery with Distributed Processing. - Mai H. Nguyen; Jiaxin Li; Daniel Crawl; Jessica Block; Ilkay Altintas (IEEE BigData, 2019)

Understanding a Rapidly Expanding Refugee Camp Using Convolutional Neural Networks and Satellite Imagery. - Susanne Benz; Hogeun Park; Jiaxin Li; Daniel Crawl; Jessica Block; Mai H. Nguyen; Ilkay Altintas (eScience, 2019)

Improving Wildfire Simulations by Estimation of Wildfire Wind Conditions from Fire Perimeter Measurements. - Li Tan; Raymond A. de Callafon; Jessica Block; Daniel Crawl; Ilkay Altintas (ICCS (5), 2021)

Machine Learning for Improved Post-fire Debris Flow Likelihood Prediction. - Daniel Roten; Jessica Block; Daniel Crawl; Jenny Lee; Ilkay Altintas (IEEE Big Data, 2022)

Estimation of wildfire wind conditions via perimeter and surface area optimization. - Li Tan; Raymond A. de Callafon; Jessica Block; Daniel Crawl; Tolga Çaglar; Ilkay Altintas (J. Comput. Sci., 2022)

Multimodal Wildland Fire Smoke Detection. - Jaspreet Kaur Bhamra; Shreyas Anantha Ramaprasad; Siddhant Baldota; Shane Luna; Eugene Zen; Ravi Ramachandra; Harrison Kim; Chris Schmidt; Chris Arends; Jessica Block; Ismael Pérez; Daniel Crawl; et al. (Remote. Sens., 2023)

Near Real-Time Wildfire Damage Assessment using Aerial Thermal Imagery and Machine Learning. - Saqib Azim; Mai H. Nguyen; Daniel Crawl; Jessica Block; Rawaf Al Rawaf; Francesca Hart; Mark Campbell; Robert Scott; Ilkay Altintas (IEEE Big Data, 2024)

Streamlined Edge Computing for Fire Science and Management using WIFIRE Edge. - Ilkay Altintas; Shweta Purawat; Ismael Pérez; Jenny Lee; Melissa Floca; Jessica Block; Josh Breslow; Daniel Crawl (e-Science, 2024)

Actionable Fire Modeling in Firemap for Extended Attack Decision Support. - Ilkay Altintas; Shweta Purawat; Daniel Crawl; Jessica Block; Jenny Lee; Adrienne Breland; Ismael Pérez; Jordan Combs; Rawaf Al Rawaf; Chris Lautenberger; Gary W. Johnson; David Saah (ICCS (Workshops 4), 2025)