Leveraging large sensor streams for robust cloud control. - Alok Singh 004; Eric G. Stephan; Todd Elsethagen; Matt MacDuff; Bibi Raju; Malachi Schram; Kerstin Kleese van Dam; Darren J. Kerbyson; Ilkay Altintas (IEEE BigData, 2016)

Kepler WebView: A Lightweight, Portable Framework for Constructing Real-time Web Interfaces of Scientific Workflows. - Daniel Crawl; Alok Singh 004; Ilkay Altintas (ICCS, 2016)

Natural Language Processing using Kepler Workflow System: First Steps. - Ankit Goyal 002; Alok Singh 004; Shitij Bhargava; Daniel Crawl; Ilkay Altintas; Chun-Nan Hsu (ICCS, 2016)

Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows. - Alok Singh 004; Eric G. Stephan; Malachi Schram; Ilkay Altintas (eScience, 2017)

A machine learning approach for modular workflow performance prediction. - Alok Singh 004; Arvind Rao; Shweta Purawat; Ilkay Altintas (WORKS@SC, 2017)

Modular Resource Centric Learning for Workflow Performance Prediction. - Alok Singh 004; Mai H. Nguyen; Shweta Purawat; Daniel Crawl; Ilkay Altintas (CoRR, 2017)

Deep Learning for Enhancing Fault Tolerant Capabilities of Scientific Workflows. - Alok Singh 004; Ilkay Altintas; Malachi Schram; Nathan R. Tallent (IEEE BigData, 2018)

Towards A Methodology and Framework for Workflow-Driven Team Science. - Ilkay Altintas; Shweta Purawat; Daniel Crawl; Alok Singh 004; Kyle Marcus (CoRR, 2019)

Toward a Methodology and Framework for Workflow-Driven Team Science. - Ilkay Altintas; Shweta Purawat; Daniel Crawl; Alok Singh 004; Kyle Marcus (Comput. Sci. Eng., 2019)

Modular performance prediction for scientific workflows using Machine Learning. - Alok Singh 004; Shweta Purawat; Arvind Rao; Ilkay Altintas (Future Gener. Comput. Syst., 2021)