Computational Modeling and Analysis Core
计算建模和分析核心
基本信息
- 批准号:10418521
- 负责人:
- 金额:$ 17.1万
- 依托单位:
- 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:
- 关键词:AccelerationAddressAdoptionAdvanced DevelopmentArtificial IntelligenceAwardBehavioral SciencesBig DataBiomedical ResearchCenters of Research ExcellenceCommunitiesComplexComputer AnalysisComputer ModelsComputer Vision SystemsComputer softwareComputing MethodologiesConsultContract ServicesCore FacilityCustomDataData AnalysesData AnalyticsDevelopmentEngineeringEnsureEquipmentEvolutionExperimental DesignsFacultyFee-for-Service PlansFeesGoalsGrantHigh Performance ComputingHuman ResourcesInfrastructureInstitutesJournalsLibrariesMachine LearningMeasurementMeasuresMedicalModelingModernizationNeurosciencesNeurosciences ResearchPhasePhysiologicalPilot ProjectsPrincipal InvestigatorReproducibilityResearchResearch ActivityResearch InfrastructureResearch PersonnelResearch SupportResourcesSample SizeScientistSeriesService delivery modelServicesSpecialistStatistical ComputingStatistical Data InterpretationStatistical MethodsStatistical ModelsStructureSupercomputingSystemTimeTrainingTraining and EducationTranslatingUnited States National Institutes of HealthUniversitiesWagesWorkanalytical toolbasecohesioncomputational platformcomputer sciencecomputing resourcescostdata modelingdeep learningdeep learning modeldesignexperienceexperimental studygraduate studentmachine learning modelmid-career facultymultimodalityneuroimagingnoveloperationpressureprogramsprototypesoundstatistical learningstatisticssupervised learningtooltrend
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
项目主管/首席研究员(倒数第一中):Michael A. Webster
项目成果
期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
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Alireza Tavakkoli其他文献
Alireza Tavakkoli的其他文献
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{{ truncateString('Alireza Tavakkoli', 18)}}的其他基金
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