REU Site: Research on Prescriptive Analytics for AI-enabled Operations Engineering

REU 网站：人工智能支持的运营工程规范分析研究

• 批准号: 2243589
• 负责人: Suchithra Rajendran
• 金额: $ 40.5万
• 依托单位: University of Missouri-Columbia
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-03-15 至 2026-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2243589&HistoricalAwards=false
• 关键词: REU; Site; Research; Prescriptive; Analytics

The goal of this REU site to fill the gap in student knowledge in prescriptive analytics, a form of analytics which suggests decision options for how to take advantage future opportunities or mitigate future risks. Prescriptive analytics are particularly critical for key industries such as services, manufacturing and agriculture that experience high expenditure, supply-demand mismatch, and operational uncertainties. This REU program will not only equip students with the required knowledge but provide them the skillset to conduct research on delivering intelligent/scalable prescriptive analytics solutions to real-world problems involving data-driven planning and decision making. In addition, through the REU projects, numerous underrepresented minorities, women and first-generation graduates, will be trained in doing independent research, which will, in turn, motivate them to pursue advanced degrees in STEM. The summer program will cultivate student interest in developing several creative and novel research works, e.g., (i) real-time scheduling models to optimize the planning and control of unmanned ground vehicle (UGV) - transfer robots (a.k.a. transbots), (ii) creating a Blockchain system for healthcare process improvement, (iii) designing decomposition-based iterative optimization algorithms for dynamically dispatching and routing unmanned aerial vehicles (UAVs), i.e., drones and air taxis, and (iv) understanding genotype, environment and management (G×E×M) interaction using deep learning. In summary, exposing students to multidisciplinary research projects in prescriptive analytics for AI-enabled operations engineering, inculcating a passion for science and engineering, and cultivating their presentation skillsets for pursuing advanced STEM degrees are the main goals of the proposed REU Site.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

此REU网站的目标是填补规范分析中的学生知识的空白，这是一种分析形式，提出了如何利用未来机会或减轻未来风险的决策选择。规范性分析对于经历高支出，供求不匹配和运营不确定性等关键行业，例如服务，制造业和农业等关键行业尤其重要。该REU计划不仅将使学生获得所需的知识，而且为他们提供了有关将智能/可扩展性的规定分析解决方案进行研究的技能，这些解决方案将涉及数据驱动的计划和决策制定的现实世界中的问题。此外，通过REU项目，将培训许多代表性不足的少数民族，妇女和第一代毕业生，从事独立研究，这将激励他们攻读STEM的高级学位。夏季计划将培养学生对开发几项创造性和新颖的研究著作的兴趣，例如（i）实时调度模型，以优化无人接地车辆（UGV）的计划和控制 - 转移机器人（又称Transbots），（ii）创建基于医疗保健过程的区块链系统，以基于医疗保健过程改进，（iii）设计型号，以访问型号的型号，并访问型号的型号，并访问型号的范围，以置于型号的范围，并派出了型号的范围，并派出了型号的范围，并派出了型号的范围，并访问了范围的范围限制型号的范围。 （无人机），即无人机和空气出租车，以及（iv）使用深度学习了解基因型，环境与管理（G×E×M）相互作用。总而言之，将学生暴露于针对AI支持AI的运营工程的规定性分析中的多学科研究项目，灌输对科学和工程的热情，并培养其追求先进的STEM级的演示技巧是拟议的REU网站的主要目标。这是NSF的法定任务的审查，反映了审查的范围，并通过评估了范围，这是通过评估的范围来进行的。