Computational Modeling and Analysis Core

计算建模和分析核心

基本信息

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
项目类别：
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

项目摘要

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

计划主任/首席研究员（最后，第一，中间）：迈克尔·A·韦伯斯特项目摘要计算建模和分析核心在第三阶段中，计算建模和分析（CMA）核心将为毛cres虫提供扩大计算服务通过将形式结构和管道建立到一个凝聚力单元具有四个主要操作组件的操作（高性能计算，CPU密集型计算，机器学习基础设施，开发管道的设计）。特别是，核心将为调查人员提供与神经科学相关的人工智能（AI）和计算建模方面的专业专业知识实验，包括分析和解释各种生理和功能测量，针对医学和行为科学的深度学习模型的设计和开发，部署在高性能计算平台上加速了AI框架，并为各种各样的任务。核心将由研究计算专家Alireza Tavakkoli博士指导，他是具有AI，机器学习，计算机专业知识的计算机科学与工程副教授视觉，高性能计算和跨学科计算。在第三阶段，核心将重点放在通过以下目的建立简化且可持续的操作模型：1）扩展和增强计算能力，服务和资源； 2）提供访问，培训，教育和统计分析和计算建模方面的帮助； 3）建立一个可持续的核心设施分布式计算建模单元和基础架构以支持它。计算建模和分析核心将为确保UNR和COBRE的竞争力提供必不可少的资源和服务研究人员还利用新颖和复杂的AI启用计算建模和解释作为针对神经科学的研究的统计分析和数据分析支持。 OMB No. 0925-0001/0002（Rev. 03/2020通过02/28/2023批准）页面延续格式页面