Ilkay Altintas

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 91

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)
Patrick Kasl, Lauryn Keeler Bruce, Wendy Hartogensis, Subhasis Dasgupta, Leena S. Pandya, Stephan Dilchert, Frederick M. Hecht, Amarnath Gupta, Ilkay Altintas, Ashley Mason, Benjamin L. Smarr
Utilizing Wearable Device Data for Syndromic Surveillance: A Fever Detection Approach. Sensors 24 (6) (2024)
Yeshvant Matey, Raymond A. de Callafon, Ilkay Altintas
Optimizing Prescribed Burn Risk Management: A Computational and Economic Modeling Approach Using QUIC FIRE Simulations. ICCS (2) (2024)
Amarnath Gupta, Shweta Purawat, Subhasis Dasgupta, Pratyush Karmakar, Elaine Chi, Ilkay Altintas
Bridging eResearch Infrastructure and Experimental Materials Science Process in the Quantum Data Hub. CoRR (2024)
Manish Parashar, Ilkay Altintas
Toward Democratizing Access to Science Data: Introducing the National Data Platform. e-Science (2023)
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)
Li Tan, Raymond A. de Callafon, Mai H. Nguyen, Ilkay Altintas
Ensemble Based Learning for Automated Safety Labeling of Prescribed Fires. ICCS (1) (2023)
Ilkay Altintas
From Workflows to Teamflows in eScience: Integrating Collaborative Science, AI, and Computing for Impact at Scale. e-Science (2023)
Daniel Balouek-Thomert, Ismael Pérez, Sam D. Faulstich, Heather A. Holmes, Ilkay Altintas, Manish Parashar
Keynote Talk: Leveraging the Edge-Cloud Continuum to Manage the Impact of Wildfires on Air Quality. PerCom Workshops (2023)
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 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.
Workflows Community Summit 2022: A Roadmap Revolution. CoRR (2023)
Li Tan, Yangsheng Hu, Shuo Tan, Raymond A. de Callafon, Ilkay Altintas
Wildfire Perimeter Detection via Iterative Trimming Method. ICCS (1) (2023)
Rizbanul Hasan, Shweta Purawat, Catherine Olschanowsky, Ilkay Altintas
Preserving File Provenance Using Principles of Blockchain to Ensure Scientific Reproducibility. e-Science (2023)
Tapio Schneider, Ilkay Altintas, Daniel Atkins
Accelerating Scientific Discovery With AI-Aided Automation. Comput. Sci. Eng. 25 (5) (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)
Beth Plale, Preeti Malakar, Meenakshi D'Souza, Hemangee K. Kapoor, Yogesh Simmhan, Ilkay Altintas, Manohar Swaminathan
CCGRID 2023: A Holistic Approach to Inclusion and Belonging. CCGrid (2023)
Rujula Yete, Shweta Purawat, Ismael Pérez, Daniel Crawl, Ilkay Altintas
Automating the Evaluation of Datasets for FAIR and CARE Principles. e-Science (2023)
Ilkay Altintas, Ismael Pérez, Dmitry Mishin, Adrien Trouillaud, Christopher Irving, John Graham, Mahidhar Tatineni, Thomas A. DeFanti, Shawn Strande, Larry Smarr, Michael L. Norman
Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing. CoRR (2022)
Ilkay Altintas, Ismael Pérez, Dmitry Mishin, Adrien Trouillaud, Christopher Irving, John Graham, Mahidhar Tatineni, Thomas A. DeFanti, Shawn Strande, Larry Smarr, Michael L. Norman
Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing. e-Science (2022)
Anshuman Dewangan, Yash Pande, Hans-Werner Braun, Frank Vernon, Ismael Pérez, Ilkay Altintas, Garrison W. Cottrell, Mai H. Nguyen
FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection. Remote. Sens. 14 (4) (2022)
Li Tan, Raymond A. de Callafon, Ilkay Altintas
Characterizing Wildfire Perimeter Polygons from QUIC-Fire. ICCS (1) (2022)
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)
Ilkay Altintas
Using Dynamic Data Driven Cyberinfrastructure for Next Generation Disaster Intelligence. DDDAS (2022)
Ying Ding, Amit P. Sheth, Krzysztof W. Janowicz, Sergio Baranzini, Sharat Israni, Ilkay Altintas, Lilit Yeghiazarian, Ellie Young, Sam Klein
International Workshop on Knowledge Graphs: Open Knowledge Network. KDD (2022)
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
Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D. AI Mag. 43 (1) (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)
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 Thomas, Subhashini Sivagnanam, Thomas Hutton
Expanse: Computing without Boundaries: Architecture, Deployment, and Early Operations Experiences of a Supercomputer Designed for the Rapid Evolution in Science and Engineering. PEARC (2021)
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)
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
Perspectives on automated composition of workflows in the life sciences. F1000Research 10 (2021)
Shweta Purawat, Subhasis Dasgupta, Jining Song, Shakti Davis, Kajal T. Claypool, Sandeep Chandra, Ashley Mason, Varun Viswanath, Amit Klein, Patrick Kasl, YingJing Wen, Benjamin Smarr, Amarnath Gupta, Ilkay Altintas
TemPredict: A Big Data Analytical Platform for Scalable Exploration and Monitoring of Personalized Multimodal Data for COVID-19. IEEE BigData (2021)
Ilkay Altintas
Building cyberinfrastructure for translational impact: The WIFIRE example. J. Comput. Sci. 52 (2021)
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 Laney, Ulf Leser, Maciej Malawski, Kshitij Mehta, Loïc Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya Ramakrishnan, Stian Soiland-Reyes, Douglas Thain, Matthew Wolf
A Community Roadmap for Scientific Workflows Research and Development. WORKS (2021)
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 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
Workflows Community Summit: Bringing the Scientific Workflows Community Together. CoRR (2021)
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 Williams, Matthew Wolf, Justin M. Wozniak
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. CoRR (2021)
Anshuman Dewangan, Yash Pande, Hans-Werner Braun, Frank Vernon, Ismael Pérez, Ilkay Altintas, Gary Cottrell, Mai H. Nguyen
FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection. CoRR (2021)
Shweta Purawat, Subhasis Dasgupta, Luke Burbidge, Julia L. Zuo, Stephen D. Wilson, Amarnath Gupta, Ilkay Altintas
Quantum Data Hub: A Collaborative Data and Analysis Platform for Quantum Material Science. ICCS (1) (2021)
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 Laney, Ulf Leser, Maciej Malawski, Kshitij Mehta, Loïc Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya Ramakrishnan, Stian Soiland-Reyes, Douglas Thain, Matthew Wolf
A Community Roadmap for Scientific Workflows Research and Development. CoRR (2021)
Ilkay Altintas
A Tale of Two C's: Convergence and Composability. IPDPS (2021)
Alok Singh, Shweta Purawat, Arvind Rao, Ilkay Altintas
Modular performance prediction for scientific workflows using Machine Learning. Future Gener. Comput. Syst. 114 (2021)
Matthew Madany, Kyle Marcus, Steven Peltier, Mark H. Ellisman, Ilkay Altintas
NeuroKube: An Automated and Autoscaling Neuroimaging Reconstruction Framework using Cloud Native Computing and A.I. IEEE BigData (2020)
Ilkay Altintas
Challenges and Opportunities for Composable AI-Integrated Applications at the Digital Continuum: Keynote. AICCSA (2020)
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, Dorian C. Arnold, Martin Schulz, Matthew G. F. Dosanjh, Ryan E. Grant, Taylor L. Groves
Workshop 16: SNACS Scalable Networks for Advanced Computing Systems. IPDPS Workshops (2020)
Ilkay Altintas
Using Dynamic Data Driven Cyberinfrastructure for Next Generation Disaster Intelligence. DDDAS (2020)
Shweta Purawat, Cathie Olschanowsky, Laura E. Condon, Reed M. Maxwell, Ilkay Altintas
Scalable Workflow-Driven Hydrologic Analysis in HydroFrame. ICCS (1) (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)
Scott L. Sellars, Joulien Tatar, Phu Nguyen, Eric Shearer, Soroosh Sorooshian, F. Martin Ralph, John Graham, Dmitry Mishin, Kyle Marcus, Ilkay Altintas, Thomas A. DeFanti, Larry Smarr, Camille Crittenden, Frank Würthwein
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 (2019)
Adam Rule, Amanda Birmingham, Cristal Zuniga, Ilkay Altintas, Shih-Cheng Huang, Rob Knight, Niema Moshiri, Mai H. Nguyen, Sara Brin Rosenthal, Fernando Pérez, Peter W. Rose
Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks. PLoS Comput. Biol. 15 (7) (2019)
Stephanie Labou, Ho Jung Yoo, David Minor, Ilkay Altintas
Sharing and Archiving Data Science Course Projects to Support Pedagogy for Future Cohorts. eScience (2019)
Ilkay Altintas
PAISE 2019 Keynote Speaker. IPDPS Workshops (2019)
Bosung Seo, Daniel Mariano, John Beckfield, Vinay Madenur, Yuming Hu, Tony Reina, Marcus Bobar, Mai H. Nguyen, Ilkay Altintas
Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle using Deep Learning. CoRR (2019)
Yan Tang, Jianwu Wang, Mai H. Nguyen, Ilkay Altintas
PEnBayes: A Multi-Layered Ensemble Approach for Learning Bayesian Network Structure from Big Data. Sensors 19 (20) (2019)
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
Enabling FAIR research in Earth Science through research objects. Future Gener. Comput. Syst. 98 (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)
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
A demonstration of modularity, reuse, reproducibility, portability and scalability for modeling and simulation of cardiac electrophysiology using Kepler Workflows. PLoS Comput. Biol. 15 (3) (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)
Ewa Deelman, Tom Peterka, Ilkay Altintas, Christopher D. Carothers, Kerstin Kleese van Dam, Kenneth Moreland, Manish Parashar, Lavanya Ramakrishnan, Michela Taufer, Jeffrey S. Vetter
The future of scientific workflows. Int. J. High Perform. Comput. Appl. 32 (1) (2018)
Ehab Abdelmaguid, Jolene Huang, Sanjay Kenchareddy, Disha Singla, Laura Wilke, Mai H. Nguyen, Ilkay Altintas
Left Ventricle Segmentation and Volume Estimation on Cardiac MRI using Deep Learning. CoRR (2018)
Alok Singh, Ilkay Altintas, Malachi Schram, Nathan R. Tallent
Deep Learning for Enhancing Fault Tolerant Capabilities of Scientific Workflows. IEEE BigData (2018)
Adam Rule, Amanda Birmingham, Cristal Zuniga, Ilkay Altintas, Shih-Cheng Huang, Rob Knight, Niema Moshiri, Mai H. Nguyen, Sara Brin Rosenthal, Fernando Pérez, Peter W. Rose
Ten Simple Rules for Reproducible Research in Jupyter Notebooks. CoRR (2018)
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
Analytics Pipeline for Left Ventricle Segmentation and Volume Estimation on Cardiac MRI Using Deep Learning. eScience (2018)
Alok Singh, Eric G. Stephan, Malachi Schram, Ilkay Altintas
Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows. 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)
Sergey V. Kovalchuk, Tesfamariam M. Abuhay, Ilkay Altintas, Michael L. Norman, Michael Harold Lees, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
Data through the Computational Lens. J. Comput. Sci. 20 (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)
Alok Singh, Eric G. Stephan, Malachi Schram, Ilkay Altintas
Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows. 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)
Alok Singh, Arvind Rao, Shweta Purawat, Ilkay Altintas
A machine learning approach for modular workflow performance prediction. WORKS@SC (2017)
Thayjes Srivas, Raymond A. de Callafon, Daniel Crawl, Ilkay Altintas
. ICCS (2017)
Shweta Purawat, Charles Cowart, Rommie E. Amaro, Ilkay Altintas
Biomedical Big Data Training Collaborative (BBDTC): An effort to bridge the talent gap in biomedical science and research. J. Comput. Sci. 20 (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)
Alok Singh, Eric G. Stephan, Todd Elsethagen, Matt MacDuff, Bibi Raju, Malachi Schram, Kerstin Kleese van Dam, Darren J. Kerbyson, Ilkay Altintas
Leveraging large sensor streams for robust cloud control. IEEE BigData (2016)
Daniel Crawl, Alok Singh, Ilkay Altintas
Kepler WebView: A Lightweight, Portable Framework for Constructing Real-time Web Interfaces of Scientific Workflows. ICCS (2016)
Ilkay Altintas, Michael Normal, Michael Lees, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
Data through the Computational Lens, Preface for ICCS 2016. ICCS (2016)
Shweta Purawat, Charles Cowart, Rommie E. Amaro, Ilkay Altintas
Biomedical Big Data Training Collaborative (BBDTC): An Effort to Bridge the Talent Gap in Biomedical Science and Research. ICCS (2016)
Jianwu Wang, Moustafa AbdelBaky, Javier Diaz Montes, Shweta Purawat, Manish Parashar, Ilkay Altintas
Kepler + CometCloud: Dynamic Scientific Workflow Execution on Federated Cloud Resources. 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)
Behnam Hedayatnia, Mehrdad Yazdani, Mai H. Nguyen, Jessica Block, Ilkay Altintas
Determining feature extractors for unsupervised learning on satellite images. IEEE BigData (2016)
Thayjes Srivas, Tomàs Artés, Raymond A. de Callafon, Ilkay Altintas
Wildfire Spread Prediction and Assimilation for FARSITE Using Ensemble Kalman Filtering. ICCS (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)
Yu Qian, Hyunsoo Kim, Shweta Purawat, Jianwu Wang, Rick Stanton, Alexandra Lee, Weijia Xu, Ilkay Altintas, Robert S. Sinkovits, Richard H. Scheuermann
FlowGate: towards extensible and scalable web-based flow cytometry data analysis. XSEDE (2015)
Zhuohui Gan, Jianwu Wang, Nathan Salomonis, Jennifer C. Stowe, Gabriel G. Haddad, Andrew D. McCulloch, Ilkay Altintas, Alexander C. Zambon
MAAMD: a workflow to standardize meta-analyses and comparison of affymetrix microarray data. BMC Bioinform. 15 (2014)
Zhuohui Gan, Jennifer C. Stowe, Ilkay Altintas, Andrew D. McCulloch, Alexander C. Zambon
Using Kepler for Tool Integration in Microarray Analysis Workflows. ICCS (2014)
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)
Wanghu Chen, Ilkay Altintas, Jianwu Wang, Jing Li
Enhancing Smart Re-run of Kepler Scientific Workflows Based on Near Optimum Provenance Caching in Cloud. SERVICES (2014)
Jianwu Wang, Yan Tang, Mai H. Nguyen, Ilkay Altintas
A Scalable Data Science Workflow Approach for Big Data Bayesian Network Learning. BDC (2014)

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Publication Activity (10 Years)

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Ilkay Altintas