Computational Modeling and Analysis Core
- Institution
- UNIVERSITY OF NEVADA RENO, NV
- Principal investigator
- Alireza Tavakkoli
- Funding
- $172K
- Duration
- 2022–2027
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Abstract
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
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