Computational Modeling and Analysis Core

计算建模和分析核心

• 批准号: 10666519
• 负责人: Alireza Tavakkoli
• 金额: $ 17.21万
• 依托单位: UNIVERSITY OF NEVADA RENO
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-15 至 2027-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10666519
• 关键词: Acceleration; Address; Adoption; Advanced Development; Artificial Intelligence; Award; Behavioral Sciences; Big Data; Biomedical Research; Centers of Research Excellence; Communities; Complex; Computer Analysis; Computer Models; Computer Vision Systems; Computer software; Computing Methodologies; Consult; Contract Services; Core Facility; Data; Data Analyses; Data Analytics; Dedications; Development; Education; Engineering; Ensure; Equipment; Evolution; Experimental Designs; Faculty; Fee-for-Service Plans; Fees; Goals; Grant; High Performance Computing; Human Resources; Infrastructure; Institution; Journals; Libraries; Machine Learning; Measurement; Measures; Medical; Modeling; Modernization; Neurosciences; Neurosciences Research; Phase; Physiological; Pilot Projects; Postdoctoral Fellow; Principal Investigator; Reproducibility; Research; Research Activity; Research Infrastructure; Research Personnel; Research Support; Resources; Sample Size; Scientist; Series; Service delivery model; Services; Specialist; Statistical Computing; Statistical Data Interpretation; Statistical Methods; Statistical Models; Structure; Supercomputing; System; Time; Training; Translating; United States National Institutes of Health; Universities; Wages; Work; analytical tool; computational platform; computer science; computing resources; cost; data modeling; deep learning; deep learning model; design; experience; experimental study; graduate student; machine learning model; mid-career faculty; multimodality; neuroimaging; novel; operation; pressure; programs; prototype; sound; statistical learning; statistics; supervised learning; tool; trend

Program Director/Principal Investigator (Last, First, Middle): Michael A. Webster Project Summary Computational Modeling and Analysis Core In Phase III, the Computational Modeling and Analysis (CMA) Core will provide COBRE investigators with expanded computational services by establishing formal structures and pipelines into a cohesive unit of operation with four main operational components (high-performance computing, CPU-intensive computing, machine learning infrastructure, design to development pipelines). In particular, the Core will offer investigators specialized expertise in artificial intelligence (AI) and computational modeling relevant to neuroscience experiments, including analysis and interpretation of various physiological and functional measurements, design and development of deep learning models for medical and behavioral sciences, deployment of accelerated AI frameworks on high-performance computing platforms, and sophisticated statistical analysis for a wide variety of tasks. The core will be directed by a research computing expert, Dr. Alireza Tavakkoli, who is an associate professor of computer science and engineering with expertise in AI, machine learning, computer vision, high-performance computing, and interdisciplinary computing. During Phase III, the core will focus on establishing a streamlined and sustainable model of operation through the following aims: 1) to expand and enhance computational capabilities, services, and resources; 2) to provide access, training, education and assistance in statistical analysis and computational modeling; 3) to establish a sustainable core facility within a distributed Computational Modeling Unit and infrastructure to support it. The Computational Modeling and Analysis core will provide resources and services essential to ensure competitiveness of UNR and COBRE investigators by utilizing novel and sophisticated AI-enabled computational modeling and interpretation as well as statistical analysis and data analytics support for studies focused on the neurosciences. OMB No. 0925-0001/0002 (Rev. 03/2020 Approved Through 02/28/2023) Page Continuation Format Page

项目负责人/主要研究者（最后，第一，中间）：Michael A.韦伯斯特 项目摘要 计算建模与分析核心 在第三阶段，计算建模和分析（CMA）核心将为COBRE研究人员提供 通过建立正式的结构和管道，将计算服务扩展到一个内聚的单元， 四个主要操作组件（高性能计算，CPU密集型计算， 机器学习基础设施，设计到开发管道）。特别是，核心将为调查人员提供 人工智能（AI）和与神经科学相关的计算建模的专业知识 实验，包括各种生理和功能测量的分析和解释， 设计和开发用于医学和行为科学的深度学习模型，部署 在高性能计算平台上加速人工智能框架，以及复杂的统计分析， 各种各样的任务。核心将由研究计算专家Alireza Tavakkoli博士指导，他是 计算机科学与工程副教授，在人工智能，机器学习，计算机 视觉、高性能计算和跨学科计算。在第三阶段，核心将侧重于 通过以下目标建立精简和可持续的业务模式：1）扩大和 提高计算能力、服务和资源; 2）提供访问、培训、教育和 协助统计分析和计算建模; 3）在一个可持续的核心设施内建立一个可持续的核心设施， 分布式计算建模单元和基础设施来支持它。计算建模和 分析核心将提供确保UNR和COBRE竞争力所必需的资源和服务 研究人员通过利用新颖而复杂的人工智能支持的计算建模和解释， 作为神经科学研究的统计分析和数据分析支持。 OMB编号0925-0001/0002（修订版03/2020批准至02/28/2023）页码继续格式页码