I. Laflotte

ORCID: 0000-0002-7366-8090
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About
Contact & Profiles
Research Areas
  • Particle physics theoretical and experimental studies
  • High-Energy Particle Collisions Research
  • Quantum Chromodynamics and Particle Interactions
  • Particle Detector Development and Performance
  • Dark Matter and Cosmic Phenomena
  • Cosmology and Gravitation Theories
  • Computational Physics and Python Applications
  • Neutrino Physics Research
  • Scientific Computing and Data Management
  • Black Holes and Theoretical Physics
  • Distributed and Parallel Computing Systems
  • Atomic and Subatomic Physics Research
  • Nuclear reactor physics and engineering
  • Stochastic processes and financial applications
  • Research Data Management Practices
  • advanced mathematical theories
  • International Science and Diplomacy
  • Nuclear physics research studies
  • Stochastic processes and statistical mechanics
  • Medical Imaging Techniques and Applications
  • Parallel Computing and Optimization Techniques
  • Nuclear Physics and Applications
  • Particle Accelerators and Free-Electron Lasers
  • Random Matrices and Applications
  • Astrophysics and Cosmic Phenomena

Rutgers, The State University of New Jersey
2019-2025

Rutgers Sexual and Reproductive Health and Rights
2024

Institute of High Energy Physics
2020-2024

A. Alikhanyan National Laboratory
2022-2024

University of Antwerp
2024

National Oceanic and Atmospheric Administration
2023

European Organization for Nuclear Research
2022-2023

University of Tennessee at Knoxville
2023

10.18154/rwth-2021-05460 article EN Journal of High Energy Physics 2020-01-01
Rafael Ferreira da Silva Rosa M. Badía Venkat Bala Debbie Bard Peer‐Timo Bremer and 95 more Ian K. Buckley Silvina Caíno‐Lores Kyle Chard Carole Goble Shantenu Jha Daniel S. Katz Daniel Laney Manish Parashar Frédéric Suter Nick Tyler Thomas D. Uram İlkay Altıntaş Stefan Andersson William Arndt Juan Pedro Aznar Jonathan Bader Bartosz Baliś Chris Blanton Kelly Rosa Braghetto Aharon Brodutch Paul Brunk Henri Casanova Alba Cervera Lierta Justin Chigu Tainã Coleman Nick Collier Iacopo Colonnelli Frederik Coppens Michael R. Crusoe W. S. Cunningham Bruno de Paula Kinoshita Paolo Di Tommaso Charles Doutriaux Matthew T. Downton Wael Elwasif Bjoern Enders Christopher Erdmann Thomas Fahringer Ludmilla Figueiredo Rosa Filgueira Martin Foltín Anne Fouilloux Luiz Gadelha Andy Gallo Artur Garcia Saez Daniel Garijo Roman G. Gerlach Ryan E. Grant Samuel Grayson Patricia Grubel Johan E. Gustafsson Valérie Hayot‐Sasson Óscar Hernández Marcus Hilbrich Annmary Justine I. Laflotte Fabian Lehmann André Luckow Jakob Luettgau Ketan Maheshwari Motohiko Matsuda Doriana Medić Peter Mendygral Marek T. Michalewicz Jorji Nonaka Maciej Pawlik Loïc Pottier Line Pouchard Mathias Pütz Santosh Kumar Radha Lavanya Ramakrishnan Sasko Ristov Paul Romano Daniel Rosendo Martin Ruefenacht Katarzyna Rycerz Nishant Saurabh V. Savchenko Martin Schulz Christine M. Simpson Raúl Sirvent Tyler J. Skluzacek Stian Soiland‐Reyes Renan P. Souza Sreenivas R. Sukumar Ziheng Sun Alan Sussman Douglas Thain Mikhail Titov Benjamín Tovar Aalap Tripathy Matteo Turilli Bartosz Tużnik Hubertus J. J. van Dam Aurelio Vivas

Scientific workflows have become integral tools in broad scientific computing use cases. Science discovery is increasingly dependent on to orchestrate large and complex experiments that range from execution of a cloud-based data preprocessing pipeline multi-facility instrument-to-edge-to-HPC computational workflows. Given the changing landscape evolving needs emerging applications, it paramount development novel system functionalities seek increase efficiency, resilience, pervasiveness...

10.48550/arxiv.2304.00019 preprint EN cc-by arXiv (Cornell University) 2023-01-01

10.3204/pubdb-2020-02623 article EN 2020-07-05
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