A Cloud-based Dynamic Workflow for Mass Spectrometry Data Analysis. - Ashish Nagavaram; Gagan Agrawal; Michael A. Freitas; Kelly H. Telu; Gaurang Mehta; Rajiv Mayani; Ewa Deelman (eScience, 2011)

RseqFlow: workflows for RNA-Seq data analysis. - Ying Wang; Gaurang Mehta; Rajiv Mayani; Jingxi Lu; Tade Souaiaia; Yangho Chen; Andrew P. Clark; Hee Jae Yoon; Lin Wan; Oleg V. Evgrafov; James A. Knowles; Ewa Deelman; et al. (Bioinform., 2011)

Rethinking data management for big data scientific workflows. - Karan Vahi; Mats Rynge; Gideon Juve; Rajiv Mayani; Ewa Deelman (IEEE BigData, 2013)

Pegasus, a workflow management system for science automation. - Ewa Deelman; Karan Vahi; Gideon Juve; Mats Rynge; Scott Callaghan; Philip Maechling; Rajiv Mayani; Weiwei Chen 002; Rafael Ferreira da Silva; Miron Livny; R. Kent Wenger (Future Gener. Comput. Syst., 2015)

Automating environmental computing applications with scientific workflows. - Rafael Ferreira da Silva; Ewa Deelman; Rosa Filgueira; Karan Vahi; Mats Rynge; Rajiv Mayani; Benjamin Mayer (eScience, 2016)

Toward an End-to-End Framework for Modeling, Monitoring and Anomaly Detection for Scientific Workflows. - Anirban Mandal; Paul Ruth; Ilya Baldin; Dariusz Król 002; Gideon Juve; Rajiv Mayani; Rafael Ferreira da Silva; Ewa Deelman; Jeremy S. Meredith; Jeffrey S. Vetter; Vickie E. Lynch; Benjamin Mayer; et al. (IPDPS Workshops, 2016)

Pegasus in the Cloud: Science Automation through Workflow Technologies. - Ewa Deelman; Karan Vahi; Mats Rynge; Gideon Juve; Rajiv Mayani; Rafael Ferreira da Silva (IEEE Internet Comput., 2016)

Towards Continuous Scientific Data Analysis and Hypothesis Evolution. - Yolanda Gil; Daniel Garijo; Varun Ratnakar; Rajiv Mayani; Ravali Adusumilli; Hunter Boyce; Arunima Srivastava; Parag Mallick (AAAI, 2017)

Empowering Agroecosystem Modeling with HTC Scientific Workflows: The Cycles Model Use Case. - Rafael Ferreira da Silva; Rajiv Mayani; Yuning Shi; Armen R. Kemanian; Mats Rynge; Ewa Deelman (IEEE BigData, 2019)

Custom Execution Environments with Containers in Pegasus-Enabled Scientific Workflows. - Karan Vahi; Michael Zink; Mats Rynge; George Papadimitriou 002; Duncan A. Brown; Rajiv Mayani; Rafael Ferreira da Silva; Ewa Deelman; Anirban Mandal; Eric Lyons 001 (eScience, 2019)

An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models. - Daniel Garijo; Deborah Khider; Varun Ratnakar; Yolanda Gil; Ewa Deelman; Rafael Ferreira da Silva; Craig A. Knoblock; Yao-Yi Chiang; Minh Pham 004; Jay Pujara; Binh Vu; Dan Feldman; et al. (IUI Companion, 2019)

Semantic workflows for benchmark challenges: Enhancing comparability, reusability and reproducibility. - Arunima Srivastava; Ravali Adusumilli; Hunter Boyce; Daniel Garijo; Varun Ratnakar; Rajiv Mayani; Thomas Yu; Raghu Machiraju; Yolanda Gil; Parag Mallick (PSB, 2019)

The Evolution of the Pegasus Workflow Management Software. - Ewa Deelman; Karan Vahi; Mats Rynge; Rajiv Mayani; Rafael Ferreira da Silva; George Papadimitriou 002; Miron Livny (Comput. Sci. Eng., 2019)

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

End-to-end online performance data capture and analysis for scientific workflows. - George Papadimitriou 002; Cong Wang 014; Karan Vahi; Rafael Ferreira da Silva; Anirban Mandal; Zhengchun Liu; Rajiv Mayani; Mats Rynge; Mariam Kiran; Vickie E. Lynch; Rajkumar Kettimuthu; Ewa Deelman; et al. (Future Gener. Comput. Syst., 2021)

The Pegasus workflow management system: Translational computer science in practice. - Ewa Deelman; Rafael Ferreira da Silva; Karan Vahi; Mats Rynge; Rajiv Mayani; Ryan Tanaka; Wendy R. Whitcup; Miron Livny (J. Comput. Sci., 2021)

Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. - Yolanda Gil; Daniel Garijo; Deborah Khider; Craig A. Knoblock; Varun Ratnakar; Maximiliano Osorio; Hernán Vargas; Minh Pham 004; Jay Pujara; Basel Shbita; Binh Vu; Yao-Yi Chiang; et al. (ACM Trans. Interact. Intell. Syst., 2021)

Application of Edge-to-Cloud Methods Toward Deep Learning. - Khushi Choudhary; Nona Nersisyan; Edward Lin; Shobana Chandrasekaran; Rajiv Mayani; Loïc Pottier; Angela P. Murillo; Nicole K. Virdone; Kerk F. Kee; Ewa Deelman (e-Science, 2022)