Ilkay Altintas

174 papers A* 1A 8B 24C 1Misc 21Journal 52Unranked 62

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A terminology for scientific workflow systems. Future Gener. Comput. Syst. Frédéric Suter, Tainã Coleman, Ilkay Altintas, Rosa M. Badia, Bartosz Balis, Kyle Chard, Iacopo Colonnelli, Ewa Deelman, Paolo Di Tommaso, Thomas Fahringer, Carole A. Goble, Shantenu Jha, Daniel S. Katz, Johannes Köster, Ulf Leser, Kshitij Mehta, Hilary Oliver, Jayson Luc Peterson, Giovanni Pizzi, Loïc Pottier, Raül Sirvent, Eric Suchyta, Douglas Thain, Sean R. Wilkinson, Justin M. Wozniak, Rafael Ferreira da Silva
2025	J	`jnl`	A Terminology for Scientific Workflow Systems. CoRR Frédéric Suter, Tainã Coleman, Ilkay Altintas, Rosa M. Badia, Bartosz Balis, Kyle Chard, Iacopo Colonnelli, Ewa Deelman, Paolo Di Tommaso, Thomas Fahringer, Carole A. Goble, Shantenu Jha, Daniel S. Katz, Johannes Köster, Ulf Leser, Kshitij Mehta, Hilary Oliver, J. Luc Peterson, Giovanni Pizzi, Loïc Pottier, Raül Sirvent, Eric Suchyta, Douglas Thain, Sean R. Wilkinson, Justin M. Wozniak, Rafael Ferreira da Silva
2025	—	`conf`	Actionable Fire Modeling in Firemap for Extended Attack Decision Support. ICCS (Workshops 4) 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
2025	—	`conf`	An Agentic Approach to Generate Conversational Narratives on the Immersive Forest. eScience Isaac Nealey, Nicholas Scherer, Blake Crowther, Jennifer Du, Pitchayarasm Kunghae, Wesley Schiller, Mai Nguyen, Daniel Crawl, Ilkay Altintas
2025	—	`conf`	Assimilation of Data for Dynamic Digital Twins by Learning Covariance Information. ICCS (Workshops 4) Tolga Çaglar, Ilkay Altintas, Raymond A. de Callafon
2025	—	`conf`	BanditWare Extension: A Contextual Bandit-based Framework for Hardware Prediction with Model Selection. ICPP Workshops Ravi Shende, Tainã Coleman, Hena Ahmed, Ismael Pérez, Ilkay Altintas
2025	A	`conf`	BanditWare: A Contextual Bandit-based Framework for Hardware Prediction. HPDC Tainã Coleman, Hena Ahmed, Ravi Shende, Ismael Pérez, Ilkay Altintas
2025	J	`jnl`	BanditWare: A Contextual Bandit-based Framework for Hardware Prediction. CoRR Tainã Coleman, Hena Ahmed, Ravi Shende, Ismael Pérez, Ilkay Altintas
2025	—	`conf`	FOUNT Courselets on the National Data Platform. ICPP Workshops Pedro Ramonetti, Ilkay Altintas, Melissa Floca, Kate Keahey, Marc Richardson
2025	—	`conf`	Modeling Remote Sensing Data Relationships with Spatiotemporal Knowledge Graphs. eScience Isaac Nealey, Ilkay Altintas
2025	J	`jnl`	National Data Platform's Education Hub. CoRR Pedro Ramonetti, Melissa Floca, Kate O'Laughlin, Amarnath Gupta, Manish Parashar, Ilkay Altintas
2025	—	`conf`	Toward Agents of Intelligence: Bridging the AI Expertise Gap in Domain Sciences. eScience Tainã Coleman, Ilkay Altintas
2025	A	`conf`	Towards a Federated Approach to Complex Digital Twins. HPDC Hena Ahmed, Daniel Crawl, Ilkay Altintas
2024	—	`conf`	A cross-study Analysis of Wearable Datasets and the Generalizability of Acute Illness Monitoring Models. CHIL Patrick Kasl, Severine Soltani, Lauryn Keeler Bruce, Varun K. Viswanath, Wendy Hartogensis, Amarnath Gupta, Ilkay Altintas, Stephan Dilchert, Frederick M. Hecht, Ashley E. Mason, Benjamin L. Smarr
2024	J	`jnl`	Bridging eResearch Infrastructure and Experimental Materials Science Process in the Quantum Data Hub. CoRR Amarnath Gupta, Shweta Purawat, Subhasis Dasgupta, Pratyush Karmakar, Elaine Chi, Ilkay Altintas
2024	—	`conf`	EcoViz: co-designed environmental data visualizations to communicate ecosystem impacts, inform management, and envision solutions. Viz4Climate + Sustainability@VIS Jessica Kendall-Bar, Isaac Nealey, Ian Costello, Christopher Lowrie, Kevin Huynh Nguyen, Paul J. Ponganis, Michael W. Beck, Ilkay Altintas
2024	B	`conf`	Near Real-Time Wildfire Damage Assessment using Aerial Thermal Imagery and Machine Learning. IEEE Big Data Saqib Azim, Mai H. Nguyen, Daniel Crawl, Jessica Block, Rawaf Al Rawaf, Francesca Hart, Mark Campbell, Robert Scott, Ilkay Altintas
2024	—	`conf`	Optimizing Prescribed Burn Risk Management: A Computational and Economic Modeling Approach Using QUIC FIRE Simulations. ICCS (2) Yeshvant Matey, Raymond A. de Callafon, Ilkay Altintas
2024	B	`conf`	Streamlined Edge Computing for Fire Science and Management using WIFIRE Edge. e-Science Ilkay Altintas, Shweta Purawat, Ismael Pérez, Jenny Lee, Melissa Floca, Jessica Block, Josh Breslow, Daniel Crawl
2024	—	`conf`	Towards an Integrated Performance Framework for Fire Science and Management Workflows. CCGridW Hena Ahmed, Ravi Shende, Ismael Pérez, Daniel Crawl, Shweta Purawat, Ilkay Altintas
2024	J	`jnl`	Towards an Integrated Performance Framework for Fire Science and Management Workflows. CoRR Hena Ahmed, Ravi Shende, Ismael Pérez, Daniel Crawl, Shweta Purawat, Ilkay Altintas
2024	J	`jnl`	Utilizing Wearable Device Data for Syndromic Surveillance: A Fever Detection Approach. Sensors Patrick Kasl, Lauryn Keeler Bruce, Wendy Hartogensis, Subhasis Dasgupta, Leena S. Pandya, Stephan Dilchert, Frederick M. Hecht, Amarnath Gupta, Ilkay Altintas, Ashley E. Mason, Benjamin L. Smarr
2023	—	`ed.`	23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023 - Workshops, Bangalore, India, May 1-4, 2023 CCGridW Yogesh Simmhan, Ilkay Altintas, Ana Lucia Varbanescu, Pavan Balaji, Abhinandan S. Prasad, Lorenzo Carnevale
2023	B	`ed.`	23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023, Bangalore, India, May 1-4, 2023 CCGrid Yogesh Simmhan, Ilkay Altintas, Ana Lucia Varbanescu, Pavan Balaji, Abhinandan S. Prasad, Lorenzo Carnevale
2023	J	`jnl`	Accelerating Scientific Discovery With AI-Aided Automation. Comput. Sci. Eng. Tapio Schneider, Ilkay Altintas, Daniel Atkins
2023	B	`conf`	Automating the Evaluation of Datasets for FAIR and CARE Principles. e-Science Rujula Yete, Shweta Purawat, Ismael Pérez, Daniel Crawl, Ilkay Altintas
2023	B	`conf`	CCGRID 2023: A Holistic Approach to Inclusion and Belonging. CCGrid Beth Plale, Preeti Malakar, Meenakshi D'Souza, Hemangee K. Kapoor, Yogesh Simmhan, Ilkay Altintas, Manohar Swaminathan
2023	—	`conf`	Ensemble Based Learning for Automated Safety Labeling of Prescribed Fires. ICCS (1) Li Tan, Raymond A. de Callafon, Mai H. Nguyen, Ilkay Altintas
2023	B	`conf`	From Workflows to Teamflows in eScience: Integrating Collaborative Science, AI, and Computing for Impact at Scale. e-Science Ilkay Altintas
2023	—	`conf`	Keynote Talk: Leveraging the Edge-Cloud Continuum to Manage the Impact of Wildfires on Air Quality. PerCom Workshops Daniel Balouek-Thomert, Ismael Pérez, Sam D. Faulstich, Heather A. Holmes, Ilkay Altintas, Manish Parashar
2023	J	`jnl`	Multimodal Wildland Fire Smoke Detection. Remote. Sens. 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
2023	B	`conf`	Preserving File Provenance Using Principles of Blockchain to Ensure Scientific Reproducibility. e-Science Rizbanul Hasan, Shweta Purawat, Catherine Olschanowsky, Ilkay Altintas
2023	B	`conf`	Toward Democratizing Access to Science Data: Introducing the National Data Platform. e-Science Manish Parashar, Ilkay Altintas
2023	B	`conf`	TrueTrees: A Scalable Workflow for the Integration of Airborne LiDAR Scanning Data into Fuel Models for Prescribed Fire Simulations. e-Science Daniel Roten, Lucas A. Wells, Daniel Crawl, Russell Parsons, Anthony Marcozzi, Rodman R. Linn, John Kevin Hiers, Ilkay Altintas
2023	B	`conf`	Visualization and Labeling of Terrestrial LiDAR Data for Three-Dimensional Fuel Classification. e-Science Ivannia Gomez Moreno, Isaac Nealey, Daniel Roten, Mai H. Nguyen, Daniel Crawl, Kate O'Laughlin, Melissa Floca, Scott Pokswinski, Ilkay Altintas
2023	—	`conf`	Wildfire Perimeter Detection via Iterative Trimming Method. ICCS (1) Li Tan, Yangsheng Hu, Shuo Tan, Raymond A. de Callafon, Ilkay Altintas
2023	J	`jnl`	Workflows Community Summit 2022: A Roadmap Revolution. CoRR Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala, Debbie Bard, Peer-Timo Bremer, Ian Buckley, Silvina Caíno-Lores, Kyle Chard, Carole A. Goble, Shantenu Jha, Daniel S. Katz, Daniel E. Laney, Manish Parashar, Frédéric Suter, Nick Tyler, Thomas D. Uram, Ilkay Altintas, Stefan Andersson, William Arndt, Juan Aznar, Jonathan Bader, Bartosz Balis, Chris Blanton, Kelly Rosa Braghetto, Aharon Brodutch, Paul Brunk, Henri Casanova, Alba Cervera-Lierta, Justin Chigu, Tainã Coleman, Nick Collier, Iacopo Colonnelli, Frederik Coppens, Michael R. Crusoe, Will Cunningham, Bruno de Paula Kinoshita, Paolo Di Tommaso, Charles M. Doutriaux, Matthew Downton, Wael R. Elwasif, Bjoern Enders, Chris Erdmann, Thomas Fahringer, Ludmilla Figueiredo, Rosa Filgueira, Martin Foltin, Anne Fouilloux, Luiz Gadelha, Andy Gallo, Artur García-Sáez, et al.
2022	B	`conf`	A Science-Enabled Virtual Reality Demonstration to Increase Social Acceptance of Prescribed Burns. e-Science Isaac Nealey, Daniela Encinas Pacheco, Ivannia Gomez Moreno, Melissa Floca, Daniel Crawl, Ilkay Altintas
2022	—	`conf`	Characterizing Wildfire Perimeter Polygons from QUIC-Fire. ICCS (1) Li Tan, Raymond A. de Callafon, Ilkay Altintas
2022	J	`jnl`	Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D. AI Mag. Chaitanya K. Baru, Michael Pozmantier, Ilkay Altintas, Stephen Baek, Jonathan Cohen, Laura E. Condon, Giulia Fanti, Raul Castro Fernandez, Ethan Jackson, Upmanu Lall, Bennett A. Landman, Hai Li, Claudia Marin, Beatriz Martínez-López, Dimitris N. Metaxas, Bradley D. Olsen, Grier P. Page, Yelda Turkan, Jingbo Zhang, Peng Zhang
2022	J	`jnl`	Estimation of wildfire wind conditions via perimeter and surface area optimization. J. Comput. Sci. Li Tan, Raymond A. de Callafon, Jessica Block, Daniel Crawl, Tolga Çaglar, Ilkay Altintas
2022	J	`jnl`	FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection. Remote. Sens. Anshuman Dewangan, Yash Pande, Hans-Werner Braun, Frank Vernon, Ismael Pérez, Ilkay Altintas, Garrison W. Cottrell, Mai H. Nguyen
2022	A*	`conf`	International Workshop on Knowledge Graphs: Open Knowledge Network. KDD Ying Ding, Amit P. Sheth, Krzysztof W. Janowicz, Sergio Baranzini, Sharat Israni, Ilkay Altintas, Lilit Yeghiazarian, Ellie Young, Sam Klein
2022	B	`conf`	Machine Learning for Improved Post-fire Debris Flow Likelihood Prediction. IEEE Big Data Daniel Roten, Jessica Block, Daniel Crawl, Jenny Lee, Ilkay Altintas
2022	J	`jnl`	Multimodal Wildland Fire Smoke Detection. CoRR 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
2022	B	`conf`	Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing. e-Science Ilkay Altintas, Ismael Pérez, Dmitry Mishin, Adrien Trouillaud, Christopher Irving, John J. Graham, Mahidhar Tatineni, Thomas A. DeFanti, Shawn Strande, Larry Smarr, Michael L. Norman
2022	J	`jnl`	Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing. CoRR Ilkay Altintas, Ismael Pérez, Dmitry Mishin, Adrien Trouillaud, Christopher Irving, John J. Graham, Mahidhar Tatineni, Thomas A. DeFanti, Shawn Strande, Larry Smarr, Michael L. Norman
2022	—	`conf`	Using Dynamic Data Driven Cyberinfrastructure for Next Generation Disaster Intelligence. DDDAS Ilkay Altintas
2021	—	`conf`	A Community Roadmap for Scientific Workflows Research and Development. WORKS Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Ilkay Altintas, Rosa M. Badia, Bartosz Balis, Tainã Coleman, Frederik Coppens, Frank Di Natale, Bjoern Enders, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Daniel Garijo, Carole A. Goble, Dorran Howell, Shantenu Jha, Daniel S. Katz, Daniel E. Laney, Ulf Leser, Maciej Malawski, Kshitij Mehta, Loïc Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya Ramakrishnan, Stian Soiland-Reyes, Douglas Thain, Matthew Wolf
2021	J	`jnl`	A Community Roadmap for Scientific Workflows Research and Development. CoRR Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Ilkay Altintas, Rosa M. Badia, Bartosz Balis, Tainã Coleman, Frederik Coppens, Frank Di Natale, Bjoern Enders, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Daniel Garijo, Carole A. Goble, Dorran Howell, Shantenu Jha, Daniel S. Katz, Daniel E. Laney, Ulf Leser, Maciej Malawski, Kshitij Mehta, Loïc Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya Ramakrishnan, Stian Soiland-Reyes, Douglas Thain, Matthew Wolf
2021	A	`conf`	A Tale of Two C's: Convergence and Composability. IPDPS Ilkay Altintas
2021	J	`jnl`	Building cyberinfrastructure for translational impact: The WIFIRE example. J. Comput. Sci. Ilkay Altintas
2021	—	`conf`	Expanse: Computing without Boundaries: Architecture, Deployment, and Early Operations Experiences of a Supercomputer Designed for the Rapid Evolution in Science and Engineering. PEARC Shawn Strande, Haisong Cai, Mahidhar Tatineni, Wayne Pfeiffer, Christopher Irving, Amit Majumdar, Dmitry Mishin, Robert S. Sinkovits, Mike Norman, Nicole Wolter, Trevor Cooper, Ilkay Altintas, Marty Kandes, Ismael Pérez, Manu Shantharam, Mary P. Thomas, Subhashini Sivagnanam, Thomas Hutton
2021	J	`jnl`	FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection. CoRR Anshuman Dewangan, Yash Pande, Hans-Werner Braun, Frank Vernon, Ismael Pérez, Ilkay Altintas, Gary Cottrell, Mai H. Nguyen
2021	—	`conf`	Improving Wildfire Simulations by Estimation of Wildfire Wind Conditions from Fire Perimeter Measurements. ICCS (5) Li Tan, Raymond A. de Callafon, Jessica Block, Daniel Crawl, Ilkay Altintas
2021	J	`jnl`	Modular performance prediction for scientific workflows using Machine Learning. Future Gener. Comput. Syst. Alok Singh, Shweta Purawat, Arvind Rao, Ilkay Altintas
2021	J	`jnl`	Perspectives on automated composition of workflows in the life sciences. F1000Research Anna-Lena Lamprecht, Magnus Palmblad, Jon C. Ison, Veit Schwämmle, Mohammad Sadnan Al Manir, Ilkay Altintas, Christopher J. O. Baker, Ammar Ben Hadj Amor, Salvador Capella-Gutiérrez, Paulos Charonyktakis, Michael R. Crusoe, Yolanda Gil, Carole A. Goble, Timothy J. Griffin, Paul Groth, Hans Ienasescu, Pratik D. Jagtap, Matús Kalas, Vedran Kasalica, Alireza Khanteymoori, Tobias Kuhn, Hailiang Mei, Hervé Ménager, Steffen Möller, Robin A. Richardson, Vincent Robert, Stian Soiland-Reyes, Robert Stevens, Szaniszlo Szoke, Suzan Verberne, Aswin Verhoeven, Katherine Wolstencroft
2021	—	`conf`	Quantum Data Hub: A Collaborative Data and Analysis Platform for Quantum Material Science. ICCS (1) Shweta Purawat, Subhasis Dasgupta, Luke Burbidge, Julia L. Zuo, Stephen D. Wilson, Amarnath Gupta, Ilkay Altintas
2021	—	`conf`	TemPredict: A Big Data Analytical Platform for Scalable Exploration and Monitoring of Personalized Multimodal Data for COVID-19. IEEE BigData Shweta Purawat, Subhasis Dasgupta, Jining Song, Shakti Davis, Kajal T. Claypool, Sandeep Chandra, Ashley E. Mason, Varun K. Viswanath, Amit Klein, Patrick Kasl, YingJing Wen, Benjamin L. Smarr, Amarnath Gupta, Ilkay Altintas
2021	J	`jnl`	Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. CoRR Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Tainã Coleman, Dan Laney, Dong H. Ahn, Shantenu Jha, Dorran Howell, Stian Soiland-Reyes, Ilkay Altintas, Douglas Thain, Rosa Filgueira, Yadu N. Babuji, Rosa M. Badia, Bartosz Balis, Silvina Caíno-Lores, Scott Callaghan, Frederik Coppens, Michael R. Crusoe, Kaushik De, Frank Di Natale, Tu Mai Anh Do, Bjoern Enders, Thomas Fahringer, Anne Fouilloux, Grigori Fursin, Alban Gaignard, Alex Ganose, Daniel Garijo, Sandra Gesing, Carole A. Goble, Adil Hasan, Sebastiaan Huber, Daniel S. Katz, Ulf Leser, Douglas Lowe, Bertram Ludäscher, Ketan Maheshwari, Maciej Malawski, Rajiv Mayani, Kshitij Mehta, André Merzky, Todd S. Munson, Jonathan Ozik, Loïc Pottier, Sashko Ristov, Mehdi Roozmeh, Renan Souza, Frédéric Suter, Benjamín Tovar, Matteo Turilli, Karan Vahi, Alvaro Vidal-Torreira, Wendy R. Whitcup, Michael Wilde, Alan R. Williams, Matthew Wolf, Justin M. Wozniak
2021	J	`jnl`	Workflows Community Summit: Bringing the Scientific Workflows Community Together. CoRR Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Dan Laney, Dong H. Ahn, Shantenu Jha, Carole A. Goble, Lavanya Ramakrishnan, J. Luc Peterson, Bjoern Enders, Douglas Thain, Ilkay Altintas, Yadu N. Babuji, Rosa M. Badia, Vivien Bonazzi, Tainã Coleman, Michael R. Crusoe, Ewa Deelman, Frank Di Natale, Paolo Di Tommaso, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Alex Ganose, Björn A. Grüning, Daniel S. Katz, Olga A. Kuchar, Ana Kupresanin, Bertram Ludäscher, Ketan Maheshwari, Marta Mattoso, Kshitij Mehta, Todd S. Munson, Jonathan Ozik, Tom Peterka, Loic Pottier, Tim Randles, Stian Soiland-Reyes, Benjamín Tovar, Matteo Turilli, Thomas D. Uram, Karan Vahi, Michael Wilde, Matthew Wolf, Justin M. Wozniak
2020	C	`conf`	Challenges and Opportunities for Composable AI-Integrated Applications at the Digital Continuum: Keynote. AICCSA Ilkay Altintas
2020	—	`conf`	NeuroKube: An Automated and Autoscaling Neuroimaging Reconstruction Framework using Cloud Native Computing and A.I. IEEE BigData Matthew Madany, Kyle Marcus, Steven Peltier, Mark H. Ellisman, Ilkay Altintas
2020	—	`conf`	Recursive Updates of Wildfire Perimeters Using Barrier Points and Ensemble Kalman Filtering. ICCS (6) Abhishek Subramanian, Li Tan, Raymond A. de Callafon, Daniel Crawl, Ilkay Altintas
2020	—	`conf`	Scalable Workflow-Driven Hydrologic Analysis in HydroFrame. ICCS (1) Shweta Purawat, Cathie Olschanowsky, Laura E. Condon, Reed M. Maxwell, Ilkay Altintas
2020	—	`conf`	Using Dynamic Data Driven Cyberinfrastructure for Next Generation Disaster Intelligence. DDDAS Ilkay Altintas
2020	—	`conf`	Workshop 16: SNACS Scalable Networks for Advanced Computing Systems. IPDPS Workshops Ilkay Altintas, Dorian C. Arnold, Martin Schulz, Matthew G. F. Dosanjh, Ryan E. Grant, Taylor L. Groves
2019	J	`jnl`	A demonstration of modularity, reuse, reproducibility, portability and scalability for modeling and simulation of cardiac electrophysiology using Kepler Workflows. PLoS Comput. Biol. Pei-Chi Yang, Shweta Purawat, Pek U. Ieong, Mao-Tsuen Jeng, Kevin R. DeMarco, Igor Vorobyov, Andrew D. McCulloch, Ilkay Altintas, Rommie E. Amaro, Colleen E. Clancy
2019	J	`jnl`	Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle using Deep Learning. CoRR Bosung Seo, Daniel Mariano, John Beckfield, Vinay Madenur, Yuming Hu, Tony Reina, Marcus Bobar, Mai H. Nguyen, Ilkay Altintas
2019	J	`jnl`	Enabling FAIR research in Earth Science through research objects. Future Gener. Comput. Syst. 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, Ilkay Altintas
2019	—	`conf`	PAISE 2019 Keynote Speaker. IPDPS Workshops Ilkay Altintas
2019	J	`jnl`	PEnBayes: A Multi-Layered Ensemble Approach for Learning Bayesian Network Structure from Big Data. Sensors Yan Tang, Jianwu Wang, Mai H. Nguyen, Ilkay Altintas
2019	—	`conf`	Scaling Deep Learning-Based Analysis of High-Resolution Satellite Imagery with Distributed Processing. IEEE BigData Mai H. Nguyen, Jiaxin Li, Daniel Crawl, Jessica Block, Ilkay Altintas
2019	—	`conf`	Sharing and Archiving Data Science Course Projects to Support Pedagogy for Future Cohorts. eScience Stephanie Labou, Ho Jung Yoo, David Minor, Ilkay Altintas
2019	J	`jnl`	Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks. PLoS Comput. Biol. Adam Rule, Amanda Birmingham, Cristal Zuñiga, Ilkay Altintas, Shih-Cheng Huang, Rob Knight, Niema Moshiri, Mai H. Nguyen, Sara Brin Rosenthal, Fernando Pérez, Peter W. Rose
2019	—	`conf`	The Evolution of Bits and Bottlenecks in a Scientific Workflow Trying to Keep Up with Technology: Accelerating 4D Image Segmentation Applied to NASA Data. eScience Scott L. Sellars, Joulien Tatar, Phu Nguyen, Eric Shearer, Soroosh Sorooshian, F. Martin Ralph, John J. Graham, Dmitry Mishin, Kyle Marcus, Ilkay Altintas, Thomas A. DeFanti, Larry Smarr, Camille Crittenden, Frank Würthwein
2019	J	`jnl`	Toward a Methodology and Framework for Workflow-Driven Team Science. Comput. Sci. Eng. Ilkay Altintas, Shweta Purawat, Daniel Crawl, Alok Singh, Kyle Marcus
2019	J	`jnl`	Towards A Methodology and Framework for Workflow-Driven Team Science. CoRR Ilkay Altintas, Shweta Purawat, Daniel Crawl, Alok Singh, Kyle Marcus
2019	—	`conf`	Understanding a Rapidly Expanding Refugee Camp Using Convolutional Neural Networks and Satellite Imagery. eScience Susanne Benz, Hogeun Park, Jiaxin Li, Daniel Crawl, Jessica Block, Mai H. Nguyen, Ilkay Altintas
2019	—	`conf`	Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure. IPDPS Workshops Ilkay Altintas, Kyle Marcus, Isaac Nealey, Scott L. Sellars, John J. Graham, Dima Mishin, Joel Polizzi, Daniel Crawl, Thomas A. DeFanti, Larry Smarr
2019	J	`jnl`	Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure. CoRR Ilkay Altintas, Kyle Marcus, Isaac Nealey, Scott L. Sellars, John J. Graham, Dima Mishin, Joel Polizzi, Daniel Crawl, Thomas A. DeFanti, Larry Smarr
2018	—	`ed.`	2018 Eleventh International Conference on Contemporary Computing, IC3 2018, Noida, India, August 2-4, 2018 IC3 Srinivas Aluru, Ananth Kalyanaraman, Debajyoti Bera, Kishore Kothapalli, David Abramson, Ilkay Altintas, Sanjukta Bhowmick, Madhu Govindaraju, Smruti Ranjan Sarangi, Sushil K. Prasad, Steven Bogaerts, Vikas Saxena, Sanjay Goel
2018	—	`conf`	Analytics Pipeline for Left Ventricle Segmentation and Volume Estimation on Cardiac MRI Using Deep Learning. eScience Mai H. Nguyen, Ehab Abdelmaguid, Jolene Huang, Sanjay Kenchareddy, Disha Singla, Laura Wilke, Marcus Bobar, Eric D. Carruth, Dylan Uys, Ilkay Altintas, Evan D. Muse, Giorgio Quer, Steven R. Steinhubl
2018	—	`conf`	Deep Learning for Enhancing Fault Tolerant Capabilities of Scientific Workflows. IEEE BigData Alok Singh, Ilkay Altintas, Malachi Schram, Nathan R. Tallent
2018	J	`jnl`	Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows. CoRR Alok Singh, Eric G. Stephan, Malachi Schram, Ilkay Altintas
2018	J	`jnl`	Enabling FAIR Research in Earth Science through Research Objects. CoRR 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
2018	—	`conf`	Land Cover Classification at the Wildland Urban Interface using High-Resolution Satellite Imagery and Deep Learning. IEEE BigData Mai H. Nguyen, Jessica Block, Daniel Crawl, Vincent Siu, Akshit Bhatnagar, Federico Rodríguez, Alison Kwan, Namrita Baru, Ilkay Altintas
2018	J	`jnl`	Left Ventricle Segmentation and Volume Estimation on Cardiac MRI using Deep Learning. CoRR Ehab Abdelmaguid, Jolene Huang, Sanjay Kenchareddy, Disha Singla, Laura Wilke, Mai H. Nguyen, Ilkay Altintas
2018	—	`conf`	Scalable Detection of Rural Schools in Africa Using Convolutional Neural Networks and Satellite Imagery. UCC Companion Mehrdad Yazdani, Mai H. Nguyen, Jessica Block, Daniel Crawl, Naroa Zurutuza, Dohyung Kim, Gordon Hanson, Ilkay Altintas
2018	J	`jnl`	Ten Simple Rules for Reproducible Research in Jupyter Notebooks. CoRR Adam Rule, Amanda Birmingham, Cristal Zuñiga, Ilkay Altintas, Shih-Cheng Huang, Rob Knight, Niema Moshiri, Mai H. Nguyen, Sara Brin Rosenthal, Fernando Pérez, Peter W. Rose
2018	J	`jnl`	The future of scientific workflows. Int. J. High Perform. Comput. Appl. Ewa Deelman, Tom Peterka, Ilkay Altintas, Christopher D. Carothers, Kerstin Kleese van Dam, Kenneth Moreland, Manish Parashar, Lavanya Ramakrishnan, Michela Taufer, Jeffrey S. Vetter
2017	A	`ed.`	2017 IEEE International Conference on Web Services, ICWS 2017, Honolulu, HI, USA, June 25-30, 2017 ICWS Computer Society Ilkay Altintas, Shiping Chen
2017	—	`conf`	A machine learning approach for modular workflow performance prediction. WORKS@SC Alok Singh, Arvind Rao, Shweta Purawat, Ilkay Altintas
2017	—	`conf`	An Unsupervised Deep Learning Approach for Satellite Image Analysis with Applications in Demographic Analysis. eScience Jessica Block, Mehrdad Yazdani, Mai H. Nguyen, Daniel Crawl, Marta Jankowska, John J. Graham, Thomas A. DeFanti, Ilkay Altintas
2017	—	`conf`	Automated scalable detection of location-specific Santa Ana conditions from weather data using unsupervised learning. IEEE BigData Mai H. Nguyen, Daniel Crawl, Jiaxin Li, Dylan Uys, Ilkay Altintas
2017	J	`jnl`	Biomedical Big Data Training Collaborative (BBDTC): An effort to bridge the talent gap in biomedical science and research. J. Comput. Sci. Shweta Purawat, Charles Cowart, Rommie E. Amaro, Ilkay Altintas
2017	Misc	`conf`	Data Assimilation of Wildfires with Fuel Adjustment Factors in farsite using Ensemble Kalman Filtering ICCS Thayjes Srivas, Raymond A. de Callafon, Daniel Crawl, Ilkay Altintas
2017	Misc	`conf`	Data Hub Architecture for Smart Cities. SenSys Jason Koh, Sandeep Sandha, Bharathan Balaji, Daniel Crawl, Ilkay Altintas, Rajesh K. Gupta, Mani B. Srivastava
2017	J	`jnl`	Data through the Computational Lens. J. Comput. Sci. Sergey V. Kovalchuk, Tesfamariam M. Abuhay, Ilkay Altintas, Michael L. Norman, Michael Harold Lees, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
2017	—	`conf`	Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows. eScience Alok Singh, Eric G. Stephan, Malachi Schram, Ilkay Altintas
2017	Misc	`conf`	Firemap: A Dynamic Data-Driven Predictive Wildfire Modeling and Visualization Environment. ICCS Daniel Crawl, Jessica Block, Kai Lin, Ilkay Altintas
2017	J	`jnl`	Modular Resource Centric Learning for Workflow Performance Prediction. CoRR Alok Singh, Mai H. Nguyen, Shweta Purawat, Daniel Crawl, Ilkay Altintas
2017	—	`conf`	Research Objects for Interworkability among Global Environmental and Geophysical Data. eScience José Manuél Gómez-Pérez, Chuck Meertens, Fran Boler, Henry Loescher, Christine Laney, Daniel Crawl, Ilkay Altintas
2016	—	`conf`	A scalable approach for location-specific detection of Santa Ana conditions. IEEE BigData Mai H. Nguyen, Dylan Uys, Daniel Crawl, Charles Cowart, Ilkay Altintas
2016	Misc	`conf`	Biomedical Big Data Training Collaborative (BBDTC): An Effort to Bridge the Talent Gap in Biomedical Science and Research. ICCS Shweta Purawat, Charles Cowart, Rommie E. Amaro, Ilkay Altintas
2016	Misc	`conf`	Data through the Computational Lens, Preface for ICCS 2016. ICCS Ilkay Altintas, Michael Normal, Michael Lees, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
2016	—	`conf`	Determining feature extractors for unsupervised learning on satellite images. IEEE BigData Behnam Hedayatnia, Mehrdad Yazdani, Mai H. Nguyen, Jessica Block, Ilkay Altintas
2016	Misc	`conf`	Integrated Machine Learning in the Kepler Scientific Workflow System. ICCS Mai H. Nguyen, Daniel Crawl, Tahereh Masoumi, Ilkay Altintas
2016	Misc	`conf`	Kepler + CometCloud: Dynamic Scientific Workflow Execution on Federated Cloud Resources. ICCS Jianwu Wang, Moustafa AbdelBaky, Javier Diaz Montes, Shweta Purawat, Manish Parashar, Ilkay Altintas
2016	Misc	`conf`	Kepler WebView: A Lightweight, Portable Framework for Constructing Real-time Web Interfaces of Scientific Workflows. ICCS Daniel Crawl, Alok Singh, Ilkay Altintas
2016	—	`conf`	Leveraging large sensor streams for robust cloud control. IEEE BigData Alok Singh, Eric G. Stephan, Todd Elsethagen, Matt MacDuff, Bibi Raju, Malachi Schram, Kerstin Kleese van Dam, Darren J. Kerbyson, Ilkay Altintas
2016	Misc	`conf`	Natural Language Processing using Kepler Workflow System: First Steps. ICCS Ankit Goyal, Alok Singh, Shitij Bhargava, Daniel Crawl, Ilkay Altintas, Chun-Nan Hsu
2016	Misc	`conf`	Wildfire Spread Prediction and Assimilation for FARSITE Using Ensemble Kalman Filtering. ICCS Thayjes Srivas, Tomàs Artés, Raymond A. de Callafon, Ilkay Altintas
2015	—	`conf`	Big data provenance: Challenges, state of the art and opportunities. IEEE BigData Jianwu Wang, Daniel Crawl, Shweta Purawat, Mai H. Nguyen, Ilkay Altintas
2015	—	`conf`	FlowGate: towards extensible and scalable web-based flow cytometry data analysis. XSEDE Yu Qian, Hyunsoo Kim, Shweta Purawat, Jianwu Wang, Rick Stanton, Alexandra Lee, Weijia Xu, Ilkay Altintas, Robert S. Sinkovits, Richard H. Scheuermann
2015	Misc	`conf`	Towards an Integrated Cyberinfrastructure for Scalable Data-driven Monitoring, Dynamic Prediction and Resilience of Wildfires. ICCS 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
2014	—	`conf`	A Scalable Data Science Workflow Approach for Big Data Bayesian Network Learning. BDC Jianwu Wang, Yan Tang, Mai H. Nguyen, Ilkay Altintas
2014	J	`jnl`	Big Data Applications Using Workflows for Data Parallel Computing. Comput. Sci. Eng. Jianwu Wang, Daniel Crawl, Ilkay Altintas, Weizhong Li
2014	Misc	`conf`	EPiK-a Workflow for Electron Tomography in Kepler. ICCS Ruijuan Chen, Xiaohua Wan, Ilkay Altintas, Jianwu Wang, Daniel Crawl, Sebastien Phan, Albert F. Lawrence, Mark H. Ellisman
2014	B	`conf`	Enhancing Smart Re-run of Kepler Scientific Workflows Based on Near Optimum Provenance Caching in Cloud. SERVICES Wanghu Chen, Ilkay Altintas, Jianwu Wang, Jing Li
2014	J	`jnl`	MAAMD: a workflow to standardize meta-analyses and comparison of affymetrix microarray data. BMC Bioinform. Zhuohui Gan, Jianwu Wang, Nathan Salomonis, Jennifer C. Stowe, Gabriel G. Haddad, Andrew D. McCulloch, Ilkay Altintas, Alexander C. Zambon
2014	Misc	`conf`	Progress towards Automated Kepler Scientific Workflows for Computer-aided Drug Discovery and Molecular Simulations. ICCS 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
2014	Misc	`conf`	Using Kepler for Tool Integration in Microarray Analysis Workflows. ICCS Zhuohui Gan, Jennifer C. Stowe, Ilkay Altintas, Andrew D. McCulloch, Alexander C. Zambon
2014	Misc	`conf`	Workflow as a Service in the Cloud: Architecture and Scheduling Algorithms. ICCS Jianwu Wang, Prakashan Korambath, Ilkay Altintas, Jim Davis, Daniel Crawl
2013	J	`jnl`	Approaches to Distributed Execution of Scientific Workflows in Kepler. Fundam. Informaticae 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
2013	—	`conf`	Workflow-driven programming paradigms for distributed analysis of biological big data. ICCABS Ilkay Altintas
2012	Misc	`conf`	A Framework for Distributed Data-Parallel Execution in the Kepler Scientific Workflow System. ICCS Jianwu Wang, Daniel Crawl, Ilkay Altintas
2012	—	`conf`	Challenges and approaches for distributed workflow-driven analysis of large-scale biological data: vision paper. EDBT/ICDT Workshops Ilkay Altintas, Jianwu Wang, Daniel Crawl, Weizhong Li
2012	Misc	`conf`	Early Cloud Experiences with the Kepler Scientific Workflow System. ICCS Jianwu Wang, Ilkay Altintas
2012	J	`jnl`	Golden Trail: Retrieving the Data History that Matters from a Comprehensive Provenance Repository. Int. J. Digit. Curation Paolo Missier, Bertram Ludäscher, Saumen C. Dey, Michael Wang, Timothy M. McPhillips, Shawn Bowers, Michael Agun, Ilkay Altintas
2012	—	`conf`	MAAMD: A Workflow to Standardize Meta-Analyses of Affymetrix Microarray Data. HISB Zhuohui Gan, Jianwu Wang, Nathan Salomonis, Ilkay Altintas, Andrew D. McCulloch, Alexander C. Zambon
2011	J	`jnl`	A Data Model for Analyzing User Collaborations in Workflow-Driven e-Science. Int. J. Comput. Their Appl. Ilkay Altintas, Manish Kumar Anand, Trung N. Vuong, Shawn Bowers, Bertram Ludäscher, Peter M. A. Sloot
2011	B	`conf`	A Physical and Virtual Compute Cluster Resource Load Balancing Approach to Data-Parallel Scientific Workflow Scheduling. SERVICES Jianwu Wang, Prakashan Korambath, Ilkay Altintas
2011	—	`ch.`	Case Study on the Use of REST Architectural Principles for Scientific Analysis: CAMERA - Community Cyberinfrastructure for Advanced Microbial Ecology Research and Analysis. REST: From Research to Practice Abel W. Lin, Ilkay Altintas, Chris Churas, Madhusudan Gujral, Jeffrey S. Grethe, Mark H. Ellisman
2011	J	`jnl`	Community cyberinfrastructure for Advanced Microbial Ecology Research and Analysis: the CAMERA resource. Nucleic Acids Res. Shulei Sun, Jing Chen, Weizhong Li, Ilkay Altintas, Abel W. Lin, Steven Peltier, Karen I. Stocks, Eric E. Allen, Mark H. Ellisman, Jeffrey S. Grethe, John C. Wooley
2011	—	`ch.`	Facilitating e-Science Discovery Using Scientific Workflows on the Grid. Guide to e-Science Jianwu Wang, Prakashan Korambath, Seonah Kim, Scott A. Johnson, Kejian Jin, Daniel Crawl, Ilkay Altintas, Shava Smallen, Bill Labate, Kendall N. Houk
2011	—	`conf`	Provenance for MapReduce-based data-intensive workflows. WORKS@SC Daniel Crawl, Jianwu Wang, Ilkay Altintas
2010	B	`conf`	A Fault-Tolerance Architecture for Kepler-Based Distributed Scientific Workflows. SSDBM Pierre Mouallem, Daniel Crawl, Ilkay Altintas, Mladen A. Vouk, Ustun Yildiz
2010	—	`conf`	Approaches for Exploring and Querying Scientific Workflow Provenance Graphs. IPAW Manish Kumar Anand, Shawn Bowers, Ilkay Altintas, Bertram Ludäscher
2010	B	`conf`	CAMERA 2.0: A Data-centric Metagenomics Community Infrastructure Driven by Scientific Workflows. SERVICES Ilkay Altintas, Abel W. Lin, Jing Chen, Chris Churas, Madhusudan Gujral, Shulei Sun, Weizhong Li, Ramil Manansala, Mayya Sedova, Jeffrey S. Grethe, Mark H. Ellisman
2010	B	`conf`	Fault-Tolerance in Dataflow-Based Scientific Workflow Management. SERVICES Ustun Yildiz, Pierre Mouallem, Mladen A. Vouk, Daniel Crawl, Ilkay Altintas
2010	A	`conf`	Monitoring data quality in Kepler. HPDC Aisa Na'im, Daniel Crawl, Maria Indrawan, Ilkay Altintas, Shulei Sun
2010	Misc	`conf`	Theoretical enzyme design using the Kepler scientific workflows on the Grid. ICCS Jianwu Wang, Prakashan Korambath, Seonah Kim, Scott A. Johnson, Kejian Jin, Daniel Crawl, Ilkay Altintas, Shava Smallen, Bill Labate, Kendall N. Houk
2010	—	`conf`	Understanding Collaborative Studies through Interoperable Workflow Provenance. IPAW Ilkay Altintas, Manish Kumar Anand, Daniel Crawl, Shawn Bowers, Adam Belloum, Paolo Missier, Bertram Ludäscher, Carole A. Goble, Peter M. A. Sloot
2010	J	`jnl`	Workflows and extensions to the Kepler scientific workflow system to support environmental sensor data access and analysis. Ecol. Informatics 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
2009	—	`conf`	Accelerating Parameter Sweep Workflows by Utilizing Ad-hoc Network Computing Resources: An Ecological Example. SERVICES I Jianwu Wang, Ilkay Altintas, Parviez R. Hosseini, Derik Barseghian, Daniel Crawl, Chad Berkley, Matthew B. Jones
2009	J	`jnl`	Heterogeneous composition of models of computation. Future Gener. Comput. Syst. Antoon Goderis, Christopher X. Brooks, Ilkay Altintas, Edward A. Lee, Carole A. Goble
2009	—	`conf`	Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems. SC-WORKS Jianwu Wang, Daniel Crawl, Ilkay Altintas
2009	—	`ch.`	Scientific Process Automation and Workflow Management. Scientific Data Management Bertram Ludäscher, Ilkay Altintas, Shawn Bowers, Julian Cummings, Terence Critchlow, Ewa Deelman, David De Roure, Juliana Freire, Carole A. Goble, Matthew B. Jones, Scott Klasky, Timothy M. McPhillips, Norbert Podhorszki, Cláudio T. Silva, Ian J. Taylor, Mladen A. Vouk
2008	—	`conf`	A High-Level Distributed Execution Framework for Scientific Workflows. eScience Jianwu Wang, Ilkay Altintas, Chad Berkley, Lucas Gilbert, Matthew B. Jones
2008	—	`conf`	A Provenance-Based Fault Tolerance Mechanism for Scientific Workflows. IPAW Daniel Crawl, Ilkay Altintas
2008	J	`jnl`	From computation models to models of provenance: the RWS approach. Concurr. Comput. Pract. Exp. Bertram Ludäscher, Norbert Podhorszki, Ilkay Altintas, Shawn Bowers, Timothy M. McPhillips
2008	—	`conf`	Lifecycle of Scientific Workflows and their Provenance: A Usage Perspective. SERVICES I Ilkay Altintas
2008	A	`conf`	Nimrod/K: towards massively parallel dynamic grid workflows. SC David Abramson, Colin Enticott, Ilkay Altintas
2008	J	`jnl`	Special Issue: The First Provenance Challenge. Concurr. Comput. Pract. Exp. Luc Moreau, Bertram Ludäscher, Ilkay Altintas, Roger S. Barga, Shawn Bowers, Steven P. Callahan, George Chin Jr., Ben Clifford, Shirley Cohen, Sarah Cohen Boulakia, Susan B. Davidson, Ewa Deelman, Luciano A. Digiampietri, Ian T. Foster, Juliana Freire, James Frew, Joe Futrelle, Tara Gibson, Yolanda Gil, Carole A. Goble, Jennifer Golbeck, Paul Groth, David A. Holland, Sheng Jiang, Jihie Kim, David Koop, Ales Krenek, Timothy M. McPhillips, Gaurang Mehta, Simon Miles, Dominic Metzger, Steve Munroe, Jim Myers, Beth Plale, Norbert Podhorszki, Varun Ratnakar, Emanuele Santos, Carlos Eduardo Scheidegger, Karen Schuchardt, Margo I. Seltzer, Yogesh L. Simmhan, Cláudio T. Silva, Peter Slaughter, Eric G. Stephan, Robert Stevens, Daniele Turi, Huy T. Vo, Michael Wilde, Jun Zhao, Yong Zhao
2007	Misc	`conf`	Composing Different Models of Computation in Kepler and Ptolemy II. International Conference on Computational Science (3) Antoon Goderis, Christopher X. Brooks, Ilkay Altintas, Edward A. Lee, Carole A. Goble
2006	Misc	`conf`	A Three Tier Architecture for LiDAR Interpolation and Analysis. International Conference on Computational Science (3) Efrat Jaeger-Frank, Christopher J. Crosby, Ashraf Memon, Viswanath Nandigam, J. Ramon Arrowsmith, Jeffery Conner, Ilkay Altintas, Chaitan Baru
2006	J	`jnl`	A three tier architecture applied to LiDAR processing and monitoring. Sci. Program. Efrat Jaeger-Frank, Christopher J. Crosby, Ashraf Memon, Viswanath Nandigam, Jeffery Conner, J. Ramon Arrowsmith, Ilkay Altintas, Chaitan Baru
2006	—	`conf`	Automation of Network-Based Scientific Workflows. Grid-Based Problem Solving Environments Mladen A. Vouk, Ilkay Altintas, Roselyne Barreto, J. Blondin, Zhengang Cheng, Terence Critchlow, Ayla Khan, Scott Klasky, J. Ligon, Bertram Ludäscher, Pierre Mouallem, Steven G. Parker, Norbert Podhorszki, Arie Shoshani, Cláudio T. Silva
2006	J	`jnl`	From Molecule to Man: Decision Support in Individualized E-Health. Computer Peter M. A. Sloot, Alfredo Tirado-Ramos, Ilkay Altintas, Marian Bubak, Charles A. Boucher
2006	B	`conf`	Integrating Data Grid and Web Services for E-Science Applications: A Case Study of Exploring Species Distributions. e-Science Jianting Zhang, Ilkay Altintas, Jing Tao, Xianhua Liu, Deana Pennington, William Michener
2006	—	`conf`	Provenance Collection Support in the Kepler Scientific Workflow System. IPAW Ilkay Altintas, Oscar Barney, Efrat Jaeger-Frank
2006	A	`conf`	S04 - Introduction to scientific workflow management and the Kepler system. SC Ilkay Altintas, Bertram Ludäscher, Scott Klasky, Mladen A. Vouk
2006	Misc	`conf`	Scientific Workflow Infrastructure for Computational Chemistry on the Grid. International Conference on Computational Science (3) Wibke Sudholt, Ilkay Altintas, Kim K. Baldridge
2006	J	`jnl`	Scientific workflow management and the Kepler system. Concurr. Comput. Pract. Exp. Bertram Ludäscher, Ilkay Altintas, Chad Berkley, Dan Higgins, Efrat Jaeger, Matthew B. Jones, Edward A. Lee, Jing Tao, Yang Zhao
2005	B	`conf`	A Scientific Workflow Approach to Distributed Geospatial Data Processing using Web Services. SSDBM Efrat Jaeger, Ilkay Altintas, Jianting Zhang, Bertram Ludäscher, Deana Pennington, William Michener
2005	B	`conf`	Flexible IO Services in the Kepler Grid Workflow System. e-Science David Abramson, Jagan Kommineni, Ilkay Altintas
2005	J	`jnl`	The Computational Chemistry Prototyping Environment. Proc. IEEE Kim K. Baldridge, Jerry P. Greenberg, Wibke Sudholt, Stephen Mock, Ilkay Altintas, Céline Amoreira, Yohann Potier, Adam Birnbaum, Karan Bhatia, Michela Taufer
2004	—	`conf`	A Framework for the Design and Reuse of Grid Workflows. SAG Ilkay Altintas, Adam Birnbaum, Kim K. Baldridge, Wibke Sudholt, Mark A. Miller, Céline Amoreira, Yohann Potier, Bertram Ludäscher
2004	A	`conf`	A Web Service Composition and Deployment Framework for Scientific Workflows. ICWS Ilkay Altintas, Efrat Jaeger, Kai Lin, Bertram Ludäscher, Ashraf Memon
2004	B	`conf`	Kepler: An Extensible System for Design and Execution of Scientific Workflows. SSDBM Ilkay Altintas, Chad Berkley, Efrat Jaeger, Matthew B. Jones, Bertram Ludäscher, Steve Mock
2003	B	`conf`	A Modeling and Execution Environment for Distributed Scientific Workflows. SSDBM Ilkay Altintas, Sangeeta Bhagwanani, David Buttler, Sandeep Chandra, Zhengang Cheng, Matthew Coleman, Terence Critchlow, Amarnath Gupta, Wei Han, Ling Liu, Bertram Ludäscher, Calton Pu, Reagan W. Moore, Arie Shoshani, Mladen A. Vouk
2003	B	`conf`	Compiling Abstract Scientific Workflows into Web Service Workflows. SSDBM Bertram Ludäscher, Ilkay Altintas, Amarnath Gupta
2002	—	`conf`	Time to Leave the Trees: From Syntactic to Conceptual Querying of XML. EDBT Workshops Bertram Ludäscher, Ilkay Altintas, Amarnath Gupta