Integrating machine learning and blockchain to develop a system to veto the forgeries and provide efficient results in education sector. - Dhruvil Shah; Devarsh Patel; Jainish Adesara; Pruthvi Hingu; Manan Shah (Vis. Comput. Ind. Biomed. Art, 2021)

Artificial Intelligence to Classify and Detect Masquerading Users on HPC Systems from Shell Histories. - Kirby Kuznia; Dhruvil Shah; Gil Speyer; Jason Yalim (PEARC, 2022)

GAN-C: A generative adversarial network with a classifier for effective event prediction. - B. S. A. S. Rajita; Vrutik Halani; Dhruvil Shah; Subhrakanta Panda (Comput. Intell., 2022)

Centralized provisioning of large language models for a research community. - Dhruvil Shah; Gil Speyer; Jason Yalim (SC Workshops, 2023)

The Sol Supercomputer at Arizona State University. - Douglas M. Jennewein; Johnathan Lee; Chris Kurtz; William Dizon; Ian Shaeffer; Alan Chapman; Alejandro Chiquete; Josh Burks; Amber Carlson; Natalie Mason; Arhat Kobawala; Thirugnanam Jagadeesan; et al. (PEARC, 2023)

Employing a Research Community Network to Assess Centralized Computing Impact. - Dhruvil Deepakbhai Shah; Rebecca Belshe; Kirby Kuznia; Gil Speyer; Jason Yalim (PEARC, 2023)

Visualization of Research Community Networks. - Dhruvil Deepakbhai Shah; Gil Speyer; Jason Yalim (PEARC, 2023)

Kora: A Cloud-Native Event Streaming Platform for Kafka. - Anna Povzner; Prince Mahajan; Jason Gustafson; Jun Rao; Ismael Juma; Feng Min; Shriram Sridharan; Nikhil Bhatia; Gopi K. Attaluri; Adithya Chandra; Stanislav Kozlovski; Rajini Sivaram; et al. (Proc. VLDB Endow., 2023)

Measuring the Impact of Centralized High-Performance Computing with Research Collaboration Networks. - Dhruvil Shah; Rebecca Belshe; Gil Speyer; Jason Yalim (SN Comput. Sci., 2024)