Research

General

Overview paper:

  • Altintas I., Block J., de Callafon R., Crawl D., Cowart C., Gupta A., Nguyen M., Braun H.W., Schulze J., Gollner M., Trouve A., Smarr L., Towards an Integrated Cyberinfrastructure for Scalable Data-Driven Monitoring, Dynamic Prediction and Resilience of Wildfires. In Proceeedings of the Workshop on Dynamic Data-Driven Application Systems (DDDAS) at the 15th International Conference on Computational Science (ICCS 2015). doi:10.1016/j.procs.2015.05.296Best Workshop Paper Award.

Ensembles and Data Assimilation

  • Srivas, T., de Callafon, R., Crawl, D., Altintas, I., Data Assimilation of Wildfires with Fuel Adjustment Factors in FARSITE using Ensemble Kalman Filtering, In Proceedings of the Workshop on Data-Driven Computational Sciences (DDCS) at the 17th International Conference on Computational Science (ICCS 2017), 2017.
  • Srivas, T., Artés, T., de Callafon, R., Altintas, I., Wildfire Spread Prediction and Assimilation for FARSITE Using Ensemble Kalman Filtering, In the Data-Driven Computational Sciences Workshop at the 16th International Conference on Computational Science (ICCS 2016). doi:10.1016/j.procs.2016.05.328

Fire Modeling

  • Tang, W., Miller, C., Gollner, M., Local flame attachment and heat fluxes in wind-driven line fires, In Proceedings of the Combustion Institute, Available online 21 June 2016, ISSN 1540-7489, doi:10.1016/j.proci.2016.06.064.
  • C. Zhang, M. Rochoux, W. Tang, M. Gollner, A. Trouve, Field-Scale Validation of Data-Driven Wildland Fire Spread Simulations, In 5th International Fire Behavior and Fuels Conference, 2016.
  • Tang, W., Miller, C., Gollner, M., Forward Heating in Wind-Driven Fire Spread, In 5th International Fire Behavior and Fuels Conference, 2016.
  • Miller, C.H., Tang, W., Verma, S., Trouve, A., Gollner, M.J. (2015). A fundamental exploration of Flame Structure in Wildland Fires, In 5th International Fire Behavior and Fuels Conference, 2016.
  • Miller, C.H., Tang, W., Verma, S., Trouve, A., Gollner, M.J. (2015). A fundamental exploration of Flame Structure in Wildland Fires, In 6th International Fire Ecology & Management Congress, 2016.
  • Gollner, M., Trouve, A., Altintas, I., Block, J., de Callafon, R., Clements, C., Cortes, A., Ellicott, E., Filippi, Jean Baptiste, Finney, M., Ide, K., Jenkins, Mary A., Jimenez, D., Lautenberger, C., Mandel, J., Rochoux, M., and Simeoni, A., Towards Data-Driven Operational Wildfire Spread Modeling:  A Report of the NSF-Funded WIFIRE Workshop, 2015. [PDF]

Workflows and Services

  • Crawl, D., Block, J., Lin, K., Altintas, I., Firemap: A Dynamic Data-Driven Predictive Wildfire Modeling and Visualization Environment, In Proceedings of the Workshop on Urgent Computing (UC)  at the 17th International Conference on Computational Sciences (ICCS 2017), 2017.
  • Nguyen, M., Uys, D., Crawl, D., Cowart, C., and Altintas, I., A Scalable Approach for Location-Specific Detection of Santa Ana Conditions, In Proceedings of the 2016 IEEE International Conference on Big Data.
  • Crawl, D., Singh, A., Altintas, I., Kepler WebView: A Lightweight, Portable Framework for Constructing Real-time Web Interfaces of Scientific Workflows, In Proceedings of the Third International Workshop on Advances in the Kepler Scientific Workflow System and Its Applications at the 16th International Conference on Computational Science (ICCS 2016). doi:10.1016/j.procs.2016.05.361
  • Artés, T., Crawl, D., Cortes A., Altintas, I. Forest fire spread prediction system workflow: an experience using Kepler,  In Proceedings of the Third International Workshop on Advances in the Kepler Scientific Workflow System and Its Applications at the 16th International Conference on Computational Science (ICCS 2016).
  • Wang J., Crawl D., Purawat S., Nguyen M., Altintas I., Big Data Provenance: Challenges, State of the Art and Opportunities, in 2nd Workshop on Advances in Software and Hardware for Big Data to Knowledge Discovery (ASH), 2015.

Machine Learning

  • Nguyen, M., Crawl, D., Masoumi, T., Altintas, T., Integrated Machine Learning in the Kepler Scientific Workflow System, In proceedings of the Third International Workshop on Advances in the Kepler Scientific Workflow System and Its Applications at the International Conference on Computational Science (ICCS 2016). doi:10.1016/j.procs.2016.05.545

Posters

  • Crawl, D., ​Block, J., Artes, T., Cowart, C., de Callafon, R., DeFanti, T., Graham, J., Smarr, L., Srivas, T., Altintas, I., FireMap: A Web Tool for Dynamic Data-Driven Predictive Wildfire Modeling Powered by the WIFIRE Cyberinfrastructure, AGU Fall Meeting, 2016.
  • Crawl, D., Block, J., Graham, J., Cowart, C., Gupta A., Nguyen, M., de Callafon, R., Smarr, L., Altintas, I., geoKepler Workflow Module for Computationally Scalable and Reproducible Geoprocessing and Modeling, AGU Fall Meeting, 2015. [PDF]
  • Sale, J., Block, J., Crawl, D., Cowart, C., Altintas, I., Creation of a Geo Big Data Outreach and Training Collaboratory for Wildfire Community, AGU Fall Meeting 2015.
  • Altintas, I., Crawl, D., Cowart, C., Gupta, A., Block, J., de Callafon, R., Braun, H.W., Gollner, M., Smarr, L., Trouve, A., Sale, J., WIFIRE Data Model and Catalog for Wildfire Data and Tools, AGU Fall Meeting, 2014. [PDF]