A Hardware Co-design Workflow for Scientific Instruments at the Edge. - Kazutomo Yoshii; Rajesh Sankaran; Sebastian Strempfer; Maksim Levental; Mike Hammer; Antonino Miceli (SMC, 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)

Designing a Streaming Data Coalescing Architecture for Scientific Detector ASICs with Variable Data Velocity. - Sebastian Strempfer; Kazutomo Yoshii; Mike Hammer; Dawid Bycul; Antonino Miceli (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)

FALCON readout channel for X-ray ptychography applications. - Paolo Lazzaroni; Michael Hammer; Massimo Manghisoni; Antonino Miceli; Lodovico Ratti; Valerio Re (PRIME, 2022)

Deep learning at the edge enables real-time streaming ptychographic imaging. - Anakha V. Babu; Tao Zhou; Saugat Kandel; Tekin Bicer; Zhengchun Liu; William Judge; Daniel J. Ching; Yi Jiang; Sinisa Veseli; Steven Henke; Ryan Chard; Yudong Yao; et al. (CoRR, 2022)

AI-assisted automated workflow for real-time x-ray ptychography data analysis via federated resources. - Anakha V. Babu; Tekin Bicer; Saugat Kandel; Tao Zhou; Daniel J. Ching; Steven Henke; Sinisa Veseli; Ryan Chard; Antonino Miceli; Mathew Joseph Cherukara (High Performance Computing for Imaging, 2023)

Streaming Hardware Compressor Generator Framework. - Kazutomo Yoshii; Tomohiro Ueno; Kentaro Sano; Antonino Miceli; Franck Cappello (SC Workshops, 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)

Homomorphic data compression for real time photon correlation analysis. - Sebastian Strempfer; Zichao Wendy Di; Kazutomo Yoshii; Yue Cao; Qingteng Zhang; Eric M. Dufresne; Mathew J. Cherukara; Suresh Narayanan; Martin V. Holt; Antonino Miceli; Tao Zhou (CoRR, 2024)