Daniel Crawl

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 33

Top Topics

Satellite Imagery

Scientific Workflows

Top Venues

Publications

H. Ahmed, R. Shende, Ismael Pérez, Daniel Crawl, Shweta Purawat, Ilkay Altintas
Towards an Integrated Performance Framework for Fire Science and Management Workflows. CoRR (2024)
Ivannia Gomez Moreno, Isaac Nealey, Daniel Roten, Mai H. Nguyen, Daniel Crawl, Kate O'Laughlin, Melissa Floca, Scott Pokswinski, Ilkay Altintas
Visualization and Labeling of Terrestrial LiDAR Data for Three-Dimensional Fuel Classification. e-Science (2023)
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, Ilkay Altintas, Garrison W. Cottrell, Mai H. Nguyen
Multimodal Wildland Fire Smoke Detection. Remote. Sens. 15 (11) (2023)
Daniel Roten, Lucas Wells, Daniel Crawl, Russell Parsons, Anthony Marcozzi, Rodman R. Linn, John Kevin Hiers, Ilkay Altintas
TrueTrees: A Scalable Workflow for the Integration of Airborne LiDAR Scanning Data into Fuel Models for Prescribed Fire Simulations. e-Science (2023)
Rujula Yete, Shweta Purawat, Ismael Pérez, Daniel Crawl, Ilkay Altintas
Automating the Evaluation of Datasets for FAIR and CARE Principles. e-Science (2023)
Siddhant Baldota, Shreyas Anantha Ramaprasad, Jaspreet Kaur Bhamra, Shane Luna, Ravi Ramachandra, Eugene Zen, Harrison Kim, Daniel Crawl, Ismael Pérez, Ilkay Altintas, Garrison W. Cottrell, Mai H. Nguyen
Multimodal Wildland Fire Smoke Detection. CoRR (2022)
Isaac Nealey, Daniela Encinas Pacheco, Ivannia Gomez Moreno, Melissa Floca, Daniel Crawl, Ilkay Altintas
A Science-Enabled Virtual Reality Demonstration to Increase Social Acceptance of Prescribed Burns. e-Science (2022)
Daniel Roten, Jessica Block, Daniel Crawl, Jenny Lee, Ilkay Altintas
Machine Learning for Improved Post-fire Debris Flow Likelihood Prediction. Big Data (2022)
Li Tan, Raymond A. de Callafon, Jessica Block, Daniel Crawl, Tolga Çaglar, Ilkay Altintas
Estimation of wildfire wind conditions via perimeter and surface area optimization. J. Comput. Sci. 61 (2022)
Li Tan, Raymond A. de Callafon, Jessica Block, Daniel Crawl, Ilkay Altintas
Improving Wildfire Simulations by Estimation of Wildfire Wind Conditions from Fire Perimeter Measurements. ICCS (5) (2021)
Abhishek Subramanian, Li Tan, Raymond A. de Callafon, Daniel Crawl, Ilkay Altintas
Recursive Updates of Wildfire Perimeters Using Barrier Points and Ensemble Kalman Filtering. ICCS (6) (2020)
Ilkay Altintas, Kyle Marcus, Isaac Nealey, Scott L. Sellars, John Graham, Dima Mishin, Joel Polizzi, Daniel Crawl, Thomas A. DeFanti, Larry Smarr
Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure. IPDPS Workshops (2019)
Susanne Benz, Hogeun Park, Jiaxin Li, Daniel Crawl, Jessica Block, Mai H. Nguyen, Ilkay Altintas
Understanding a Rapidly Expanding Refugee Camp Using Convolutional Neural Networks and Satellite Imagery. eScience (2019)
Ilkay Altintas, Shweta Purawat, Daniel Crawl, Alok Singh, Kyle Marcus
Towards A Methodology and Framework for Workflow-Driven Team Science. CoRR (2019)
Mai H. Nguyen, Jiaxin Li, Daniel Crawl, Jessica Block, Ilkay Altintas
Scaling Deep Learning-Based Analysis of High-Resolution Satellite Imagery with Distributed Processing. IEEE BigData (2019)
Ilkay Altintas, Shweta Purawat, Daniel Crawl, Alok Singh, Kyle Marcus
Toward a Methodology and Framework for Workflow-Driven Team Science. Comput. Sci. Eng. 21 (4) (2019)
Ilkay Altintas, Kyle Marcus, Isaac Nealey, Scott L. Sellars, John Graham, Dima Mishin, Joel Polizzi, Daniel Crawl, Thomas A. DeFanti, Larry Smarr
Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure. CoRR (2019)
Mehrdad Yazdani, Mai H. Nguyen, Jessica Block, Daniel Crawl, Naroa Zurutuza, Dohyung Kim, Gordon Hanson, Ilkay Altintas
Scalable Detection of Rural Schools in Africa Using Convolutional Neural Networks and Satellite Imagery. UCC Companion (2018)
Andrés García-Silva, José Manuél Gómez-Pérez, Raúl Palma, Marcin Krystek, Simone Mantovani, Federica Foglini, Valentina Grande, Francesco De Leo, Stefano Salvi, Elisa Trasatti, Vito Romaniello, Mirko Albani, Cristiano Silvagni, Rosemarie Leone, Fulvio Marelli, Sergio Albani, Michele Lazzarini, Hazel J. Napier, Helen M. Glaves, Timothy Aldridge, Charles Meertens, Fran Boler, Henry W. Loescher, Christine Laney, Melissa A. Genazzio, Daniel Crawl, Ilkay Altintas
Enabling FAIR Research in Earth Science through Research Objects. CoRR (2018)
Mai H. Nguyen, Jessica Block, Daniel Crawl, Vincent Siu, Akshit Bhatnagar, Federico Rodríguez, Alison Kwan, Namrita Baru, Ilkay Altintas
Land Cover Classification at the Wildland Urban Interface using High-Resolution Satellite Imagery and Deep Learning. IEEE BigData (2018)
Alok Singh, Mai H. Nguyen, Shweta Purawat, Daniel Crawl, Ilkay Altintas
Modular Resource Centric Learning for Workflow Performance Prediction. CoRR (2017)
Jason Koh, Sandeep Sandha, Bharathan Balaji, Daniel Crawl, Ilkay Altintas, Rajesh K. Gupta, Mani B. Srivastava
Data Hub Architecture for Smart Cities. SenSys (2017)
Jessica Block, Mehrdad Yazdani, Mai H. Nguyen, Daniel Crawl, Marta Jankowska, John Graham, Tom DeFanti, Ilkay Altintas
An Unsupervised Deep Learning Approach for Satellite Image Analysis with Applications in Demographic Analysis. eScience (2017)
José Manuél Gómez-Pérez, Chuck Meertens, Fran Boler, Henry Loescher, Christine Laney, Daniel Crawl, Ilkay Altintas
Research Objects for Interworkability among Global Environmental and Geophysical Data. eScience (2017)
Daniel Crawl, Jessica Block, Kai Lin, Ilkay Altintas
Firemap: A Dynamic Data-Driven Predictive Wildfire Modeling and Visualization Environment. ICCS (2017)
Mai H. Nguyen, Daniel Crawl, Jiaxin Li, Dylan Uys, Ilkay Altintas
Automated scalable detection of location-specific Santa Ana conditions from weather data using unsupervised learning. IEEE BigData (2017)
Thayjes Srivas, Raymond A. de Callafon, Daniel Crawl, Ilkay Altintas
. ICCS (2017)
Mai H. Nguyen, Daniel Crawl, Tahereh Masoumi, Ilkay Altintas
Integrated Machine Learning in the Kepler Scientific Workflow System. ICCS (2016)
Ankit Goyal, Alok Singh, Shitij Bhargava, Daniel Crawl, Ilkay Altintas, Chun-Nan Hsu
Natural Language Processing using Kepler Workflow System: First Steps. ICCS (2016)
Daniel Crawl, Alok Singh, Ilkay Altintas
Kepler WebView: A Lightweight, Portable Framework for Constructing Real-time Web Interfaces of Scientific Workflows. ICCS (2016)
Mai H. Nguyen, Dylan Uys, Daniel Crawl, Charles Cowart, Ilkay Altintas
A scalable approach for location-specific detection of Santa Ana conditions. IEEE BigData (2016)
Jianwu Wang, Daniel Crawl, Shweta Purawat, Mai H. Nguyen, Ilkay Altintas
Big data provenance: Challenges, state of the art and opportunities. IEEE BigData (2015)
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
Towards an Integrated Cyberinfrastructure for Scalable Data-driven Monitoring, Dynamic Prediction and Resilience of Wildfires. ICCS (2015)
Pek U. Ieong, Jesper Sørensen, Prasantha L. Vemu, Celia W. Wong, Özlem Demir, Nadya P. Williams, Jianwu Wang, Daniel Crawl, Robert V. Swift, Robert D. Malmstrom, Ilkay Altintas, Rommie E. Amaro
Progress towards Automated Kepler Scientific Workflows for Computer-aided Drug Discovery and Molecular Simulations. ICCS (2014)
Jianwu Wang, Daniel Crawl, Ilkay Altintas, Weizhong Li
Big Data Applications Using Workflows for Data Parallel Computing. Comput. Sci. Eng. 16 (4) (2014)
Ruijuan Chen, Xiaohua Wan, Ilkay Altintas, Jianwu Wang, Daniel Crawl, Sebastien Phan, Albert F. Lawrence, Mark H. Ellisman
EPiK-a Workflow for Electron Tomography in Kepler. ICCS (2014)
Jianwu Wang, Prakashan Korambath, Ilkay Altintas, Jim Davis, Daniel Crawl
Workflow as a Service in the Cloud: Architecture and Scheduling Algorithms. ICCS (2014)
Marcin Plóciennik, Tomasz Zok, Ilkay Altintas, Jianwu Wang, Daniel Crawl, David Abramson, Frederic Imbeaux, Bernard Guillerminet, Marcos López-Caniego, Isabel Campos Plasencia, Wojciech Pych, Pawel Ciecielag, Bartek Palak, Michal Owsiak, Yann Frauel
Approaches to Distributed Execution of Scientific Workflows in Kepler. Fundam. Informaticae 128 (3) (2013)
Jianwu Wang, Daniel Crawl, Ilkay Altintas
A Framework for Distributed Data-Parallel Execution in the Kepler Scientific Workflow System. ICCS (2012)
Ilkay Altintas, Jianwu Wang, Daniel Crawl, Weizhong Li
Challenges and approaches for distributed workflow-driven analysis of large-scale biological data: vision paper. EDBT/ICDT Workshops (2012)
Daniel Crawl, Jianwu Wang, Ilkay Altintas
Provenance for MapReduce-based data-intensive workflows. WORKS@SC (2011)
Jianwu Wang, Prakashan Korambath, Seonah Kim, Scott Johnson, Kejian Jin, Daniel Crawl, Ilkay Altintas, Shava Smallen, Bill Labate, Kendall N. Houk
Theoretical enzyme design using the Kepler scientific workflows on the Grid. ICCS (1) (2010)
Pierre Mouallem, Daniel Crawl, Ilkay Altintas, Mladen A. Vouk, Ustun Yildiz
A Fault-Tolerance Architecture for Kepler-Based Distributed Scientific Workflows. SSDBM (2010)
Ilkay Altintas, Manish Kumar Anand, Daniel Crawl, Shawn Bowers, Adam Belloum, Paolo Missier, Bertram Ludäscher, Carole A. Goble, Peter M. A. Sloot
Understanding Collaborative Studies through Interoperable Workflow Provenance. IPAW (2010)
Aisa Na'im, Daniel Crawl, Maria Indrawan, Ilkay Altintas, Shulei Sun
Monitoring data quality in Kepler. HPDC (2010)
Ustun Yildiz, Pierre Mouallem, Mladen A. Vouk, Daniel Crawl, Ilkay Altintas
Fault-Tolerance in Dataflow-Based Scientific Workflow Management. SERVICES (2010)
Derik Barseghian, Ilkay Altintas, Matthew B. Jones, Daniel Crawl, Nathan Potter, James Gallagher, Peter C. Cornillon, Mark Schildhauer, Elizabeth T. Borer, Eric W. Seabloom, Parviez R. Hosseini
Workflows and extensions to the Kepler scientific workflow system to support environmental sensor data access and analysis. Ecol. Informatics 5 (1) (2010)
Jianwu Wang, Daniel Crawl, Ilkay Altintas
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems. SC-WORKS (2009)
Jianwu Wang, Ilkay Altintas, Parviez R. Hosseini, Derik Barseghian, Daniel Crawl, Chad Berkley, Matthew B. Jones
Accelerating Parameter Sweep Workflows by Utilizing Ad-hoc Network Computing Resources: An Ecological Example. SERVICES I (2009)
Daniel Crawl, Ilkay Altintas
A Provenance-Based Fault Tolerance Mechanism for Scientific Workflows. IPAW (2008)
Daniel Crawl, Joseph Dunn, John K. Bennett, Avneesh Bhatnagar, Evan Speight
Using Location Dependence to Manage Mobile Data. MobiQuitous (2006)