Yes you can: offer a comprehensive set of technologies to enhance teaching and learning. - Apurva Mehta (SIGUCCS, 2012)

Enabling Scientific Discovery at Next-Generation Light Sources with Advanced AI and HPC. - Nicholas Schwarz; Stuart Campbell; Alexander Hexemer; Apurva Mehta; Jana Thayer (SMC, 2020)

Predicting structural class for protein sequences of 40% identity based on features of primary and secondary structure using Random Forest algorithm. - Apurva Mehta; Himanshu S. Mazumdar (Comput. Biol. Chem., 2020)

Consistency and Completeness: Rethinking Distributed Stream Processing in Apache Kafka. - Guozhang Wang; Lei Chen; Ayusman Dikshit; Jason Gustafson; Boyang Chen; Matthias J. Sax; John Roesler; Sophie Blee-Goldman; Bruno Cadonna; Apurva Mehta; Varun Madan; Jun Rao (SIGMOD Conference, 2021)

Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping. - A. Gilad Kusne; Austin McDannald; Brian L. DeCost; Corey Oses; Cormac Toher; Stefano Curtarolo; Apurva Mehta; Ichiro Takeuchi (CoRR, 2021)

MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studies. - Zhuowen Zhao; Tanny Chavez; Elizabeth Holman; Guanhua Hao; Adam Green; Harinarayan Krishnan; Dylan McReynolds; Ronald Pandolfi; Eric J. Roberts; Petrus H. Zwart; Howard Yanxon; Nicholas Schwarz; et al. (XLOOP@SC, 2022)

MLExchange: A web-based platform enabling exchangeable machine learning workflows. - Zhuowen Zhao; Tanny Chavez; Elizabeth Holman; Guanhua Hao; Adam Green; Harinarayan Krishnan; Dylan McReynolds; Ronald Pandolfi; Eric J. Roberts; Petrus H. Zwart; Howard Yanxon; Nicholas Schwarz; et al. (CoRR, 2022)

Physics Constrained Unsupervised Deep Learning for Rapid, High Resolution Scanning Coherent Diffraction Reconstruction. - Oliver Hoidn; Aashwin Ananda Mishra; Apurva Mehta (CoRR, 2023)

Portable Cross-Facility Workflows for X-ray Ptychography. - Albert Vong; Steven F. Henke; Oliver Hoidn; Hannah Parraga; Tao Zhou; Apurva Mehta; Nicholas Schwarz (SC Workshops, 2024)

A Start To End Machine Learning Approach To Maximize Scientific Throughput From The LCLS-II-HE. - Aashwin Mishra; Matt Seaberg; Ryan Roussel; Frédéric Poitevin; Jana Thayer; Daniel Ratner; Auralee Edelen; Apurva Mehta (CoRR, 2025)