Ilkay Altintas
Orcid: 0000-0002-2196-0305Affiliations:
- San Diego Supercomputer Center (SDSC), CA, USA
According to our database1,
Ilkay Altintas
authored at least 142 papers
between 2002 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
-
on dl.acm.org
On csauthors.net:
Bibliography
2024
Utilizing Wearable Device Data for Syndromic Surveillance: A Fever Detection Approach.
Sensors, March, 2024
2023
Keynote Talk: Leveraging the Edge-Cloud Continuum to Manage the Impact of Wildfires on Air Quality.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023
Proceedings of the Computational Science - ICCS 2023, 2023
Proceedings of the Computational Science - ICCS 2023, 2023
Proceedings of the 19th IEEE International Conference on e-Science, 2023
TrueTrees: A Scalable Workflow for the Integration of Airborne LiDAR Scanning Data into Fuel Models for Prescribed Fire Simulations.
Proceedings of the 19th IEEE International Conference on e-Science, 2023
Proceedings of the 19th IEEE International Conference on e-Science, 2023
Visualization and Labeling of Terrestrial LiDAR Data for Three-Dimensional Fuel Classification.
Proceedings of the 19th IEEE International Conference on e-Science, 2023
Preserving File Provenance Using Principles of Blockchain to Ensure Scientific Reproducibility.
Proceedings of the 19th IEEE International Conference on e-Science, 2023
From Workflows to Teamflows in eScience: Integrating Collaborative Science, AI, and Computing for Impact at Scale.
Proceedings of the 19th IEEE International Conference on e-Science, 2023
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023
2022
FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection.
Remote. Sens., 2022
J. Comput. Sci., 2022
Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D.
AI Mag., 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the Computational Science - ICCS 2022, 2022
A Science-Enabled Virtual Reality Demonstration to Increase Social Acceptance of Prescribed Burns.
Proceedings of the 18th IEEE International Conference on e-Science, 2022
Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing.
Proceedings of the 18th IEEE International Conference on e-Science, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
2021
J. Comput. Sci., 2021
Future Gener. Comput. Syst., 2021
F1000Research, 2021
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development.
CoRR, 2021
CoRR, 2021
Expanse: Computing without Boundaries: Architecture, Deployment, and Early Operations Experiences of a Supercomputer Designed for the Rapid Evolution in Science and Engineering.
Proceedings of the PEARC '21: Practice and Experience in Advanced Research Computing, 2021
Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
Improving Wildfire Simulations by Estimation of Wildfire Wind Conditions from Fire Perimeter Measurements.
Proceedings of the Computational Science - ICCS 2021, 2021
Quantum Data Hub: A Collaborative Data and Analysis Platform for Quantum Material Science.
Proceedings of the Computational Science - ICCS 2021, 2021
TemPredict: A Big Data Analytical Platform for Scalable Exploration and Monitoring of Personalized Multimodal Data for COVID-19.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020
Recursive Updates of Wildfire Perimeters Using Barrier Points and Ensemble Kalman Filtering.
Proceedings of the Computational Science - ICCS 2020, 2020
Proceedings of the Computational Science - ICCS 2020, 2020
Using Dynamic Data Driven Cyberinfrastructure for Next Generation Disaster Intelligence.
Proceedings of the Dynamic Data Driven Applications Systems, 2020
NeuroKube: An Automated and Autoscaling Neuroimaging Reconstruction Framework using Cloud Native Computing and A.I.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Challenges and Opportunities for Composable AI-Integrated Applications at the Digital Continuum: Keynote.
Proceedings of the 17th IEEE/ACS International Conference on Computer Systems and Applications, 2020
2019
PEnBayes: A Multi-Layered Ensemble Approach for Learning Bayesian Network Structure from Big Data.
Sensors, 2019
A demonstration of modularity, reuse, reproducibility, portability and scalability for modeling and simulation of cardiac electrophysiology using Kepler Workflows.
PLoS Comput. Biol., 2019
Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks.
PLoS Comput. Biol., 2019
Future Gener. Comput. Syst., 2019
Comput. Sci. Eng., 2019
Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle using Deep Learning.
CoRR, 2019
Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019
The Evolution of Bits and Bottlenecks in a Scientific Workflow Trying to Keep Up with Technology: Accelerating 4D Image Segmentation Applied to NASA Data.
Proceedings of the 15th International Conference on eScience, 2019
Sharing and Archiving Data Science Course Projects to Support Pedagogy for Future Cohorts.
Proceedings of the 15th International Conference on eScience, 2019
Understanding a Rapidly Expanding Refugee Camp Using Convolutional Neural Networks and Satellite Imagery.
Proceedings of the 15th International Conference on eScience, 2019
Scaling Deep Learning-Based Analysis of High-Resolution Satellite Imagery with Distributed Processing.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Left Ventricle Segmentation and Volume Estimation on Cardiac MRI using Deep Learning.
CoRR, 2018
Scalable Detection of Rural Schools in Africa Using Convolutional Neural Networks and Satellite Imagery.
Proceedings of the 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion, 2018
Analytics Pipeline for Left Ventricle Segmentation and Volume Estimation on Cardiac MRI Using Deep Learning.
Proceedings of the 14th IEEE International Conference on e-Science, 2018
Land Cover Classification at the Wildland Urban Interface using High-Resolution Satellite Imagery and Deep Learning.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Biomedical Big Data Training Collaborative (BBDTC): An effort to bridge the talent gap in biomedical science and research.
J. Comput. Sci., 2017
Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, 2017
Proceedings of the 12th Workshop on Workflows in Support of Large-Scale Science, 2017
Data Assimilation of Wildfires with Fuel Adjustment Factors in farsite using Ensemble Kalman Filtering<sup>*</sup>.
Proceedings of the International Conference on Computational Science, 2017
Firemap: A Dynamic Data-Driven Predictive Wildfire Modeling and Visualization Environment.
Proceedings of the International Conference on Computational Science, 2017
Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows.
Proceedings of the 13th IEEE International Conference on e-Science, 2017
Research Objects for Interworkability among Global Environmental and Geophysical Data.
Proceedings of the 13th IEEE International Conference on e-Science, 2017
An Unsupervised Deep Learning Approach for Satellite Image Analysis with Applications in Demographic Analysis.
Proceedings of the 13th IEEE International Conference on e-Science, 2017
Automated scalable detection of location-specific Santa Ana conditions from weather data using unsupervised learning.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Kepler + CometCloud: Dynamic Scientific Workflow Execution on Federated Cloud Resources.
Proceedings of the International Conference on Computational Science 2016, 2016
Wildfire Spread Prediction and Assimilation for FARSITE Using Ensemble Kalman Filtering.
Proceedings of the International Conference on Computational Science 2016, 2016
Proceedings of the International Conference on Computational Science 2016, 2016
Proceedings of the International Conference on Computational Science 2016, 2016
Kepler WebView: A Lightweight, Portable Framework for Constructing Real-time Web Interfaces of Scientific Workflows.
Proceedings of the International Conference on Computational Science 2016, 2016
Proceedings of the International Conference on Computational Science 2016, 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2015
Proceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure, St. Louis, MO, USA, July 26, 2015
Towards an Integrated Cyberinfrastructure for Scalable Data-driven Monitoring, Dynamic Prediction and Resilience of Wildfires.
Proceedings of the International Conference on Computational Science, 2015
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
2014
Comput. Sci. Eng., 2014
MAAMD: a workflow to standardize meta-analyses and comparison of affymetrix microarray data.
BMC Bioinform., 2014
Enhancing Smart Re-run of Kepler Scientific Workflows Based on Near Optimum Provenance Caching in Cloud.
Proceedings of the 2014 IEEE World Congress on Services, 2014
Proceedings of the International Conference on Computational Science, 2014
Progress towards Automated Kepler Scientific Workflows for Computer-aided Drug Discovery and Molecular Simulations.
Proceedings of the International Conference on Computational Science, 2014
Proceedings of the International Conference on Computational Science, 2014
Proceedings of the International Conference on Computational Science, 2014
Proceedings of the 1st IEEE/ACM International Symposium on Big Data Computing, 2014
2013
Fundam. Informaticae, 2013
Workflow-driven programming paradigms for distributed analysis of biological big data.
Proceedings of the IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences, 2013
2012
A Framework for Distributed Data-Parallel Execution in the Kepler Scientific Workflow System.
Proceedings of the International Conference on Computational Science, 2012
Proceedings of the International Conference on Computational Science, 2012
Golden Trail: Retrieving the Data History that Matters from a Comprehensive Provenance Repository.
Int. J. Digit. Curation, 2012
Proceedings of the 2012 IEEE Second International Conference on Healthcare Informatics, 2012
Challenges and approaches for distributed workflow-driven analysis of large-scale biological data: vision paper.
Proceedings of the 2012 Joint EDBT/ICDT Workshops, Berlin, Germany, March 30, 2012, 2012
2011
Proceedings of the Guide to e-Science, Next Generation Scientific Research and Discovery, 2011
Community cyberinfrastructure for Advanced Microbial Ecology Research and Analysis: the CAMERA resource.
Nucleic Acids Res., 2011
A Data Model for Analyzing User Collaborations in Workflow-Driven e-Science.
Int. J. Comput. Their Appl., 2011
A Physical and Virtual Compute Cluster Resource Load Balancing Approach to Data-Parallel Scientific Workflow Scheduling.
Proceedings of the World Congress on Services, 2011
Proceedings of the WORKS'11, 2011
Case Study on the Use of REST Architectural Principles for Scientific Analysis: CAMERA - Community Cyberinfrastructure for Advanced Microbial Ecology Research and Analysis.
Proceedings of the REST: From Research to Practice, 2011
2010
Proceedings of the International Conference on Computational Science, 2010
Workflows and extensions to the Kepler scientific workflow system to support environmental sensor data access and analysis.
Ecol. Informatics, 2010
Proceedings of the Scientific and Statistical Database Management, 2010
Proceedings of the 6th World Congress on Services, 2010
CAMERA 2.0: A Data-centric Metagenomics Community Infrastructure Driven by Scientific Workflows.
Proceedings of the 6th World Congress on Services, 2010
Proceedings of the Provenance and Annotation of Data and Processes, 2010
Proceedings of the Provenance and Annotation of Data and Processes, 2010
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010
2009
Future Gener. Comput. Syst., 2009
Accelerating Parameter Sweep Workflows by Utilizing Ad-hoc Network Computing Resources: An Ecological Example.
Proceedings of the 2009 IEEE Congress on Services, Part I, 2009
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems.
Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science, 2009
Proceedings of the Scientific Data Management - Challenges, Technology, and Deployment., 2009
2008
Concurr. Comput. Pract. Exp., 2008
Proceedings of the 2008 IEEE Congress on Services, Part I, 2008
Proceedings of the ACM/IEEE Conference on High Performance Computing, 2008
Proceedings of the Provenance and Annotation of Data and Processes, 2008
Proceedings of the Fourth International Conference on e-Science, 2008
2007
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007
2006
Sci. Program., 2006
Concurr. Comput. Pract. Exp., 2006
Proceedings of the ACM/IEEE SC2006 Conference on High Performance Networking and Computing, 2006
Proceedings of the Provenance and Annotation of Data, 2006
Proceedings of the Grid-Based Problem Solving Environments, 2006
Proceedings of the Computational Science, 2006
Proceedings of the Computational Science, 2006
Integrating Data Grid and Web Services for E-Science Applications: A Case Study of Exploring Species Distributions.
Proceedings of the Second International Conference on e-Science and Grid Technologies (e-Science 2006), 2006
2005
A Scientific Workflow Approach to Distributed Geospatial Data Processing using Web Services.
Proceedings of the 17th International Conference on Scientific and Statistical Database Management, 2005
Proceedings of the First International Conference on e-Science and Grid Technologies (e-Science 2005), 2005
2004
Proceedings of the 16th International Conference on Scientific and Statistical Database Management (SSDBM 2004), 2004
Proceedings of the Scientific Applications of Grid Computing, First International Workshop, 2004
Proceedings of the IEEE International Conference on Web Services (ICWS'04), 2004
2003
Proceedings of the 15th International Conference on Scientific and Statistical Database Management (SSDBM 2003), 2003
Proceedings of the 15th International Conference on Scientific and Statistical Database Management (SSDBM 2003), 2003
2002
Proceedings of the XML-Based Data Management and Multimedia Engineering, 2002