BraggNN: Fast X-ray Bragg Peak Analysis Using Deep Learning. - Zhengchun Liu; Hemant Sharma; Jun-Sang Park; Peter Kenesei; Jonathan D. Almer; Rajkumar Kettimuthu; Ian T. Foster (CoRR, 2020)

3d Autoencoders For Feature Extraction In X-Ray Tomography. - Aniket Tekawade; Zhengchun Liu; Peter Kenesei; Tekin Bicer; Francesco De Carlo; Rajkumar Kettimuthu; Ian T. Foster (ICIP, 2021)

Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval. - Zhengchun Liu; Ahsan Ali; Peter Kenesei; Antonino Miceli; Hemant Sharma; Nicholas Schwarz; Dennis Trujillo; Hyunseung Yoo; Ryan N. Coffee; Naoufal Layad; Jana Thayer; Ryan Herbst; et al. (XLOOP@SC, 2021)

Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval. - Zhengchun Liu; Ahsan Ali; Peter Kenesei; Antonino Miceli; Hemant Sharma; Nicholas Schwarz; Dennis Trujillo; Hyunseung Yoo; Ryan N. Coffee; Ryan Herbst; Jana Thayer; Chun Hong Yoon; et al. (CoRR, 2021)

fairDMS: Rapid Model Training by Data and Model Reuse. - Ahsan Ali; Hemant Sharma; Rajkumar Kettimuthu; Peter Kenesei; Dennis Trujillo; Antonino Miceli; Ian T. Foster; Ryan N. Coffee; Jana Thayer; Zhengchun Liu (CLUSTER, 2022)

Tomo2Mesh: Fast Porosity Mapping and Visualization for Synchrotron Tomography. - Aniket Tekawade; Viktor V. Nikitin; Yashas Satapathy; Zhengchun Liu; Xuan Zhang; Peter Kenesei; Weijian Zheng; Francesco De Carlo; Ian T. Foster; Rajkumar Kettimuthu (e-Science, 2023)

Rapid detection of rare events from in situ X-ray diffraction data using machine learning. - Weijian Zheng; Jun-Sang Park; Peter Kenesei; Ahsan Ali; Zhengchun Liu; Ian T. Foster; Nicholas Schwarz; Rajkumar Kettimuthu; Antonino Miceli; Hemant Sharma (CoRR, 2023)

Model and Data Management for Machine Learning (M2ML): Integrating Instruments, Edge and HPC for Accelerated Machine Learning. - Weijian Zheng; Hemant Sharma; Ryan Chard; Peter Kenesei; Jun-Sang Park; Nicholas Schwarz; Antonino Miceli; Ian T. Foster; Rajkumar Kettimuthu (IEEE Big Data, 2024)