To see an up-to-date list of my publications, please visit Google Scholar or my group’s Publications page.

Recent featured articles include:

  • Deelman, E., Dongarra, J., Hendrickson, B., Randles, A., Reed, D., Seidel, E., & Yelick, K. (2025). High-performance computing at a crossroads. Science, 387(6736), 829–831. https://doi.org/10.1126/science.adu0801
  • Raghavan, K., Papadimitriou, G., Jin, H., Mandal, A., Kiran, M., Balaprakash, P., & Deelman, E. (2025). Advancing anomaly detection in computational workflows with active learning. Future Generation Computer Systems, 166, 107608. https://doi.org/10.1016/j.future.2024.107608 
  • Ferreira Da Silva, R., Moore II, R., Mintz, B., Advincula, R., Alnajjar, A., Baldwin, L., Bridges, C. A., Coffee, R., Deelman, E., Engelmann, C., & others. (2024). Shaping the Future of Self-Driving Autonomous Laboratories Workshop. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF). https://doi.org/10.2172/2481197
  • Seidel, E., Randles, A., Arthur, R., Bergman, K., Carlson, B., Deelman, E., Grout, R., Hendrickson, B., & Reed, D. (2024). 2024 Advanced Scientific Computing Advisory Committee (ASCR): Facilities Subcommittee Recommendations. https://doi.org/10.2172/2370379
  • Deelman, E. (2023). How is Artificial Intelligence Changing Science? 2023 IEEE 19th International Conference on e-Science (e-Science), 1–4. https://doi.org/10.1109/e-Science58273.2023.10254913
  • Dongarra, J., Deelman, E., Hey, T., Matsuoka, S., Sarakar, V., Bell, G., Foster, I., Keyes, D., & Kranzlmueller, D. et-al. (2023). Can the United States Maintain Its Leadership in High-Performance Computing?-A report from the ASCAC Subcommittee on American Competitiveness and Innovation to the ASCR Office. OSTI. https://doi.org/10.2172/1989107
  • Morel, A. E., Qu, C., Calyam, P., Wang, C., Thareja, K., Mandal, A., Lyons, E., Zink, M., Papadimitriou, G., & Deelman, E. (2023). FlyNet: Drones on the Horizon. IEEE Internet Computing, 27(3), 35–43. https://doi.org/10.1109/MIC.2023.3260440
  • Osinski, T., Rynge, M., Hong, J. K., Vahi, K., Chu, R., Sul, C., Deelman, E., & Kim, B.-D. (2022). An automated Cryo-EM computational environment on the HPC system using Pegasus WMS. 2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS), 60–67. https://doi.org/10.1109/WORKS56498.2022.00013
  • Tanaka, R., Papadimitriou, G., Viswanath, S. C., Wang, C., Lyons, E., Thareja, K., Qu, C., Esquivel, A., Deelman, E., Mandal, A., Calyam, P., & Zink, M. (2022). Automating Edge-to-cloud Workflows for Science: Traversing the Edge-to-cloud Continuum with Pegasus. 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 826–833. https://doi.org/10.1109/CCGrid54584.2022.00098
  • Brown, D., Vahi, K., Taufer, M., Welch, V., & Deelman, E. (2021). Reproducing GW150914: the first observation of gravitational waves from a binary black hole merger. Computing in Science & Engineering. https://doi.org/10.1109/MCSE.2021.3059232 
  • Deelman, E., Ferreira da Silva, R., Vahi, K., Rynge, M., Mayani, R., Tanaka, R., Whitcup, W., & Livny, M. (2021). The Pegasus Workflow Management System: Translational Computer Science in Practice. Journal of Computational Science, 52, 101200. https://doi.org/10.1016/j.jocs.2020.101200
  • Deelman, E., Mandal, A., Murillo, A. P., Nabrzyski, J., Pascucci, V., Ricci, R., Baldin, I., Sons, S., Christopherson, L., Vardeman, C., Ferreira da Silva, R., Wyngaard, J., Petruzza, S., Rynge, M., Vahi, K., Whitcup, W. R., Drake, J., & Scott, E. (2021). Blueprint: Cyberinfrastructure Center of Excellence. Zenodo. https://doi.org/10.5281/zenodo.4587866
  • Lyons, E., Seo, D.-J., Kim, S., Habibi, H., Papadimitriou, G., Tanaka, R., Deelman, E., Zink, M., & Mandal, A. (2021). Predicting Flash Floods in the Dallas-Fort Worth Metroplex Using Workflows and Cloud Computing. 2021 IEEE 17th International Conference on EScience (EScience), 259–261. https://doi.org/10.1109/eScience51609.2021.00050 
  • Deelman, E., Vahi, K., Rynge, M., Mayani, R., Ferreira da Silva, R., Papadimitriou, G., & Livny, M. (2019). The Evolution of the Pegasus Workflow Management Software. Computing in Science Engineering, 21(4), 22–36. https://doi.org/10.1109/MCSE.2019.2919690 
  • Stodden, V., McNutt, M., Balley, D. H., Deelman, E., Gil, Y., Hanson, B., Heroux, M. A., Ioannidis, J. P. A., & Taufer. (2016). Enhancing reproducibility for computational methods. Science, 354(6317), 1240–1241. https://doi.org/10.1126/science.aah6168