Ilkay Altintas

Orcid: 0000-0002-2196-0305

Affiliations:
  • San Diego Supercomputer Center (SDSC), CA, USA


According to our database1, Ilkay Altintas authored at least 147 papers between 2002 and 2024.

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Bibliography

2024
Utilizing Wearable Device Data for Syndromic Surveillance: A Fever Detection Approach.
Sensors, March, 2024

Bridging eResearch Infrastructure and Experimental Materials Science Process in the Quantum Data Hub.
CoRR, 2024

EcoViz: co-designed environmental data visualizations to communicate ecosystem impacts, inform management, and envision solutions.
Proceedings of the IEEE VIS Workshop on Visualization for Climate Action and Sustainability, 2024

Optimizing Prescribed Burn Risk Management: A Computational and Economic Modeling Approach Using QUIC FIRE Simulations.
Proceedings of the Computational Science - ICCS 2024, 2024

Streamlined Edge Computing for Fire Science and Management using WIFIRE Edge.
Proceedings of the 20th IEEE International Conference on e-Science, 2024

Towards an Integrated Performance Framework for Fire Science and Management Workflows.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024

2023
Multimodal Wildland Fire Smoke Detection.
Remote. Sens., 2023

Accelerating Scientific Discovery With AI-Aided Automation.
Comput. Sci. Eng., 2023

Workflows Community Summit 2022: A Roadmap Revolution.
CoRR, 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

Wildfire Perimeter Detection via Iterative Trimming Method.
Proceedings of the Computational Science - ICCS 2023, 2023

Ensemble Based Learning for Automated Safety Labeling of Prescribed Fires.
Proceedings of the Computational Science - ICCS 2023, 2023

Automating the Evaluation of Datasets for FAIR and CARE Principles.
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

Toward Democratizing Access to Science Data: Introducing the National Data Platform.
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

CCGRID 2023: A Holistic Approach to Inclusion and Belonging.
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

Estimation of wildfire wind conditions via perimeter and surface area optimization.
J. Comput. Sci., 2022

Multimodal Wildland Fire Smoke Detection.
CoRR, 2022

Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D.
AI Mag., 2022

International Workshop on Knowledge Graphs: Open Knowledge Network.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Characterizing Wildfire Perimeter Polygons from QUIC-Fire.
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

Using Dynamic Data Driven Cyberinfrastructure for Next Generation Disaster Intelligence.
Proceedings of the Dynamic Data Driven Applications Systems - 4th International Conference, 2022

Machine Learning for Improved Post-fire Debris Flow Likelihood Prediction.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Building cyberinfrastructure for translational impact: The WIFIRE example.
J. Comput. Sci., 2021

Modular performance prediction for scientific workflows using Machine Learning.
Future Gener. Comput. Syst., 2021

Perspectives on automated composition of workflows in the life sciences.
F1000Research, 2021

Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development.
CoRR, 2021

Workflows Community Summit: Bringing the Scientific Workflows Community Together.
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


A Tale of Two C's: Convergence and Composability.
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
Workshop 16: SNACS Scalable Networks for Advanced Computing Systems.
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

Scalable Workflow-Driven Hydrologic Analysis in HydroFrame.
Proceedings of the Computational Science - ICCS 2020, 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

Enabling FAIR research in Earth Science through research objects.
Future Gener. Comput. Syst., 2019

Toward a Methodology and Framework for Workflow-Driven Team Science.
Comput. Sci. Eng., 2019

Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle using Deep Learning.
CoRR, 2019

Towards A Methodology and Framework for Workflow-Driven Team Science.
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

PAISE 2019 Keynote Speaker.
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
The future of scientific workflows.
Int. J. High Perform. Comput. Appl., 2018

Ten Simple Rules for Reproducible Research in Jupyter Notebooks.
CoRR, 2018

Enabling FAIR Research in Earth Science through Research Objects.
CoRR, 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

Deep Learning for Enhancing Fault Tolerant Capabilities of Scientific Workflows.
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

Data through the Computational Lens.
J. Comput. Sci., 2017

Modular Resource Centric Learning for Workflow Performance Prediction.
CoRR, 2017

Data Hub Architecture for Smart Cities.
Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, 2017

A machine learning approach for modular workflow performance prediction.
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

Integrated Machine Learning in the Kepler Scientific Workflow System.
Proceedings of the International Conference on Computational Science 2016, 2016

Natural Language Processing using Kepler Workflow System: First Steps.
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

Data through the Computational Lens, Preface for ICCS 2016.
Proceedings of the International Conference on Computational Science 2016, 2016

Leveraging large sensor streams for robust cloud control.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

A scalable approach for location-specific detection of Santa Ana conditions.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Determining feature extractors for unsupervised learning on satellite images.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
FlowGate: towards extensible and scalable web-based flow cytometry data analysis.
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

Big data provenance: Challenges, state of the art and opportunities.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Big Data Applications Using Workflows for Data Parallel Computing.
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

Workflow as a Service in the Cloud: Architecture and Scheduling Algorithms.
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

Using Kepler for Tool Integration in Microarray Analysis Workflows.
Proceedings of the International Conference on Computational Science, 2014

EPiK-a Workflow for Electron Tomography in Kepler.
Proceedings of the International Conference on Computational Science, 2014

A Scalable Data Science Workflow Approach for Big Data Bayesian Network Learning.
Proceedings of the 1st IEEE/ACM International Symposium on Big Data Computing, 2014

2013
Approaches to Distributed Execution of Scientific Workflows in Kepler.
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

Early Cloud Experiences with the Kepler Scientific Workflow System.
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

MAAMD: A Workflow to Standardize Meta-Analyses of Affymetrix Microarray Data.
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
Facilitating e-Science Discovery Using Scientific Workflows on the Grid.
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

Provenance for MapReduce-based data-intensive workflows.
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
Theoretical enzyme design using the Kepler scientific workflows on the Grid.
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

A Fault-Tolerance Architecture for Kepler-Based Distributed Scientific Workflows.
Proceedings of the Scientific and Statistical Database Management, 2010

Fault-Tolerance in Dataflow-Based Scientific Workflow Management.
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

Approaches for Exploring and Querying Scientific Workflow Provenance Graphs.
Proceedings of the Provenance and Annotation of Data and Processes, 2010

Understanding Collaborative Studies through Interoperable Workflow Provenance.
Proceedings of the Provenance and Annotation of Data and Processes, 2010

Monitoring data quality in Kepler.
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010

2009
Heterogeneous composition of models of computation.
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

Scientific Process Automation and Workflow Management.
Proceedings of the Scientific Data Management - Challenges, Technology, and Deployment., 2009

2008
Special Issue: The First Provenance Challenge.
Concurr. Comput. Pract. Exp., 2008

From computation models to models of provenance: the RWS approach.
Concurr. Comput. Pract. Exp., 2008

Lifecycle of Scientific Workflows and their Provenance: A Usage Perspective.
Proceedings of the 2008 IEEE Congress on Services, Part I, 2008

Nimrod/K: towards massively parallel dynamic grid workflows.
Proceedings of the ACM/IEEE Conference on High Performance Computing, 2008

A Provenance-Based Fault Tolerance Mechanism for Scientific Workflows.
Proceedings of the Provenance and Annotation of Data and Processes, 2008

A High-Level Distributed Execution Framework for Scientific Workflows.
Proceedings of the Fourth International Conference on e-Science, 2008

2007
Composing Different Models of Computation in Kepler and Ptolemy II.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

2006
A three tier architecture applied to LiDAR processing and monitoring.
Sci. Program., 2006

Scientific workflow management and the Kepler system.
Concurr. Comput. Pract. Exp., 2006

From Molecule to Man: Decision Support in Individualized E-Health.
Computer, 2006

S04 - Introduction to scientific workflow management and the Kepler system.
Proceedings of the ACM/IEEE SC2006 Conference on High Performance Networking and Computing, 2006

Provenance Collection Support in the Kepler Scientific Workflow System.
Proceedings of the Provenance and Annotation of Data, 2006


Scientific Workflow Infrastructure for Computational Chemistry on the Grid.
Proceedings of the Computational Science, 2006

A Three Tier Architecture for LiDAR Interpolation and Analysis.
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
The Computational Chemistry Prototyping Environment.
Proc. IEEE, 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

Flexible IO Services in the Kepler Grid Workflow System.
Proceedings of the First International Conference on e-Science and Grid Technologies (e-Science 2005), 2005

2004
Kepler: An Extensible System for Design and Execution of Scientific Workflows.
Proceedings of the 16th International Conference on Scientific and Statistical Database Management (SSDBM 2004), 2004

A Framework for the Design and Reuse of Grid Workflows.
Proceedings of the Scientific Applications of Grid Computing, First International Workshop, 2004

A Web Service Composition and Deployment Framework for Scientific Workflows.
Proceedings of the IEEE International Conference on Web Services (ICWS'04), 2004

2003
Compiling Abstract Scientific Workflows into Web Service Workflows.
Proceedings of the 15th International Conference on Scientific and Statistical Database Management (SSDBM 2003), 2003

A Modeling and Execution Environment for Distributed Scientific Workflows.
Proceedings of the 15th International Conference on Scientific and Statistical Database Management (SSDBM 2003), 2003

2002
Time to Leave the Trees: From Syntactic to Conceptual Querying of XML.
Proceedings of the XML-Based Data Management and Multimedia Engineering, 2002


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