Computational Modeling and Analysis Core

项目主任/首席调查员(最后、第一、中间)：迈克尔·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调查人员提供 通过将形式化的结构和管道建立为具有凝聚力的 使用四个主要运营组件(高性能计算、CPU密集型计算、 机器学习基础设施、设计到开发的管道)。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知识 实验，包括对各种生理和功能测量的分析和解释， 设计和开发医学和行为科学的深度学习模型，部署 高性能计算平台上的加速AI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 计算机科学和工程副教授，擅长人工智能、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，核心将集中在 通过以下目标建立精简和可持续的业务模式：1)扩大和 增强计算能力、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 分布式计算建模单元和支持它的基础设施。计算建模与计算 分析核心将提供必要的资源和服务，以确保联合国资源研究所和科布雷的竞争力 调查人员还利用新的和复杂的支持人工智能的计算建模和解释 由于统计分析和数据分析对侧重于神经科学的研究提供支持。 OMB编号0925-0001/0002(批准的第03/2020版至2023年2月28日)续页格式页

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