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Merge branch 'master' into INF-3100-add-jlab-gluex-issuer
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‎projects/BrynMawr_Chu.yaml‎

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Department: Department of Mathematics
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Description: 'n my group, we study complex social and biological systems. We primarily
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use tools from stochastic processes and differential equations and employ analytical
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and computational techniques that are often complemented by real-world data. Here
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is a link to my webpage: https://www.brynmawr.edu/inside/people/olivia-j-chu'
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FieldOfScience: Mathematics
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FieldOfScienceID: '27.0503'
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InstitutionID: https://osg-htc.org/iid/wrdwsan7bxsn
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Organization: Bryn Mawr College
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PIName: Olivia Chu

‎projects/CS_752.yaml‎

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Department: Computer Sciences
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Description: This project name (originally used for a course) was used in the OSPool
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for research related to neuromorphic computing, speech processing, and sound source
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localization.
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FieldOfScience: Computer and Information Science and Engineering
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FieldOfScienceID: '11.0101'
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InstitutionID: https://osg-htc.org/iid/fq8thqsj99zh
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Organization: "University of Wisconsin\u2013Madison"
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PIName: Joshua San Miguel

‎projects/Columbia_Laine.yaml‎

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Department: Biomedical Engineering
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Description: Mathematical analysis and quantification of medical images, signal and
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image processing, computer-aided diagnosis and biomedical/imaging informatics.
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FieldOfScience: Biological and Biomedical Sciences
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FieldOfScienceID: '14.0501'
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InstitutionID: https://osg-htc.org/iid/avy4x5r4jsrw
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Organization: Columbia University
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PIName: Andrew Laine

‎projects/NMHU_Saikia.yaml‎

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Department: Chemistry
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Description: Integrating advanced computational methodologies, including molecular
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docking, quantum chemical calculations, and molecular dynamics simulations to understand
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molecular behavior and interactions.
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FieldOfScience: Chemistry
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FieldOfScienceID: '40.0506'
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InstitutionID: 'https://osg-htc.org/iid/4vt9q627ifxr'
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Organization: New Mexico Highlands University
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PIName: Nabanita Saikia

‎projects/UCF_Azar.yaml‎

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Department: Electrical and Computer Engineering
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Description: Use of LLM in Hardware Security and Verification
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FieldOfScience: Computer and Information Services
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FieldOfScienceID: '11.1003'
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InstitutionID: https://osg-htc.org/iid/ozb6tv0up0g3
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Organization: University of Central Florida
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PIName: Kimia Zamiri Azar

‎projects/UCF_Yao.yaml‎

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Department: Electrical and Computer Engineering
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Description: Exploring the behavior and robustness of deep learning and large language
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models under various experimental conditions, with a focus on evaluating fine-tuning
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performance across different configurations and hardware environments.
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FieldOfScience: Computer and Information Services
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FieldOfScienceID: '11.0101'
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InstitutionID: https://osg-htc.org/iid/ozb6tv0up0g3
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Organization: University of Central Florida
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PIName: Fan Yao
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‎projects/UMassAmherst_Chen.yaml‎

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Department: Mathematics
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Description: Our project is to prove the non-existence of symplectic curves with specific
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numbers and types of cusps in the two dimensional complex projective plane. The
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method we are using involves writing the configuration of the blow-up of the curve
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in a certain reduced basis of the second homology group, and then eliminating these
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possibilities using further constraints. If we are successful this project could
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further elucidate the differences between the symplectic category and the category
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of algebraic geometry.
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FieldOfScience: Mathematical Sciences
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FieldOfScienceID: '27.0101'
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InstitutionID: https://osg-htc.org/iid/sqj1fi5b7fdj
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Organization: University of Massachusetts Amherst
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PIName: Weimen Chen
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‎projects/UMassMed_Thyme.yaml‎

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Department: Biochemistry & Molecular Biotechnology
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Description: 'Understand and develop
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drug treatments for intellectual disability.'
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FieldOfScience: Biological and Biomedical Sciences
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FieldOfScienceID: '51.2003'
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InstitutionID: 'https://osg-htc.org/iid/l8q9eydt487e'
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Organization: University of Massachusetts Chan Medical School
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PIName: Summer Thyme

‎projects/UWMadison_ReproML_Fall25.yaml‎

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Department: Data Science Institute
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Description: 'Scientific researchers need reproducible software environments for complex
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applications that can run across heterogeneous computing platforms. Modern open
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source tools, like Pixi, provide automatic reproducibility solutions for all dependencies
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while providing a high level interface well suited for researchers.
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This in-person workshop will provide a practical introduction to using Pixi to easily
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create computing environments for scientific and AI/ML workflows that benefit from
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hardware acceleration, across multiple machines and platforms. The focus will be
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on applications using Python machine learning libraries with CUDA enabled, as well
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as deploying these environments to production settings in Linux container images.
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This workshop will not teach machine learning concepts, but will focus on the methodologies
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and tools to make existing machine learning workflows reproducible.'
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FieldOfScience: Training
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FieldOfScienceID: '30.7001'
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InstitutionID: https://osg-htc.org/iid/fq8thqsj99zh
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Organization: "University of Wisconsin\u2013Madison"
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PIName: Matthew Feickert

‎projects/Wyoming_ARCC.yaml‎

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Department: Advanced Research Computing Center
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Description: Group for ARCC staff at University of Wyoming.
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FieldOfScience: Research Computing
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FieldOfScienceID: '11.0101'
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InstitutionID: https://osg-htc.org/iid/08r7n3jv5f14
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Organization: University of Wyoming
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PIName: Mike Killean

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