Rafael Vescovi

17 papers B 1Journal 9Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Accelerating Discovery in Natural Science Laboratories with AI and Robotics: Perspectives and Challenges from the 2024 IEEE ICRA Workshop, Yokohama, Japan.
CoRR
Andrew I. Cooper, Patrick Courtney, Kourosh Darvish, Moritz Eckhoff, Hatem Fakhruldeen, Andrea Gabrielli, Animesh Garg, Sami Haddadin, Kanako Harada, Jason Hein, Maria Hübner, Dennis Knobbe, Gabriella Pizzuto, Florian Shkurti, Ruja Shrestha, Kerstin Thurow, Rafael Vescovi, Birgit Vogel-Heuser, Ádám Wolf, Naruki Yoshikawa, Yan Zeng, Zhengxue Zhou, Henning Zwirnmann
2025 J jnl
Accelerating discovery in natural science laboratories with AI and robotics: Perspectives and challenges.
Sci. Robotics
Andrew I. Cooper, Patrick Courtney, Kourosh Darvish, Moritz Eckhoff, Hatem Fakhruldeen, Andrea Gabrielli, Animesh Garg, Sami Haddadin, Kanako Harada, Jason Hein, Maria Hübner, Dennis Knobbe, Gabriella Pizzuto, Florian Shkurti, Ruja Shrestha, Kerstin Thurow, Rafael Vescovi, Birgit Vogel-Heuser, Ádám Wolf, Naruki Yoshikawa, Yan Zeng, Zhengxue Zhou, Henning Zwirnmann
2024 — conf
Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing.
SC Workshops
Haochen Pan, Ryan Chard, Sicheng Zhou, Alok Kamatar, Rafael Vescovi, Valérie Hayot-Sasson, André Bauer, Maxime Gonthier, Kyle Chard, Ian T. Foster
2024 J jnl
Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing.
CoRR
Haochen Pan, Ryan Chard, Sicheng Zhou, Alok Kamatar, Rafael Vescovi, Valérie Hayot-Sasson, André Bauer, Maxime Gonthier, Kyle Chard, Ian T. Foster
2023 — conf
Active Research Data Management with the Django Globus Portal Framework.
PEARC
Nickolaus D. Saint, Ryan Chard, Rafael Vescovi, Jim Pruyne, Ben Blaiszik, Rachana Ananthakrishnan, Michael E. Papka, Rick Wagner, Kyle Chard, Ian T. Foster
2023 — conf
Exploring Benchmarks for Self-Driving Labs using Color Matching.
SC Workshops
Tobias Ginsburg, Kyle Hippe, Ryan Lewis, Aileen Cleary, Doga Ozgulbas, Rory Butler, Casey Stone, Abraham Stroka, Rafael Vescovi, Ian T. Foster
2023 — conf
Linking the Dynamic PicoProbe Analytical Electron-Optical Beam Line / Microscope to Supercomputers.
SC Workshops
Alexander Brace, Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Arvind Ramanathan, Nestor J. Zaluzec, Ian T. Foster
2023 J jnl
Linking the Dynamic PicoProbe Analytical Electron-Optical Beam Line / Microscope to Supercomputers.
CoRR
Alexander Brace, Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Arvind Ramanathan, Nestor J. Zaluzec, Ian T. Foster
2023 J jnl
Towards a Modular Architecture for Science Factories.
CoRR
Rafael Vescovi, Tobias Ginsburg, Kyle Hippe, Doga Ozgulbas, Casey Stone, Abraham Stroka, Rory Butler, Ben Blaiszik, Tom Brettin, Kyle Chard, Mark Hereld, Arvind Ramanathan, Rick Stevens, Aikaterini Vriza, Jie Xu, Qingteng Zhang, Ian T. Foster
2022 J jnl
Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences.
CoRR
Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster
2022 J jnl
Linking scientific instruments and computation: Patterns, technologies, and experiences.
Patterns
Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster
2021 B conf
Braid-DB: Toward AI-Driven Science with Machine Learning Provenance.
SMC
Justin M. Wozniak, Zhengchun Liu, Rafael Vescovi, Ryan Chard, Bogdan Nicolae, Ian T. Foster
2020 — conf
Toward an Automated HPC Pipeline for Processing Large Scale Electron Microscopy Data.
XLOOP@SC
Rafael Vescovi, Hanyu Li, Jeffery Kinnison, Murat Keçeli, Misha Salim, Narayanan Kasthuri, Thomas D. Uram, Nicola J. Ferrier
2020 J jnl
Toward an Automated HPC Pipeline for Processing Large Scale Electron Microscopy Data.
CoRR
Rafael Vescovi, Hanyu Li, Jeffery Kinnison, Murat Keçeli, Misha Salim, Narayanan Kasthuri, Thomas D. Uram, Nicola J. Ferrier
2019 — conf
Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping.
DLS@SC
Wushi Dong, Nicola J. Ferrier, Narayanan Kasthuri, Peter Littlewood, Murat Keçeli, Rafael Vescovi, Hanyu Li, Corey Adams, Elise Jennings, Samuel Flender, Thomas D. Uram, Venkatram Vishwanath
2019 J jnl
Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping.
CoRR
Wushi Dong, Murat Keçeli, Rafael Vescovi, Hanyu Li, Corey Adams, Thomas D. Uram, Venkatram Vishwanath, Bobby Kasthuri, Nicola J. Ferrier, Peter Littlewood
2018 — conf
High-Throughput Neuroanatomy and Trigger-Action Programming: A Case Study in Research Automation.
AI-Science@HPDC
Ryan Chard, Rafael Vescovi, Ming Du, Hanyu Li, Kyle Chard, Steven Tuecke, Narayanan Kasthuri, Ian T. Foster