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.

这个REU网站的目标是填补学生在规范分析知识方面的空白，规范分析是一种分析形式，它为如何利用未来的机会或减轻未来的风险提供决策选择。规定性分析对于诸如服务业、制造业和农业等经历高支出、供需不匹配和运营不确定性的关键行业尤为重要。该REU项目不仅将为学生提供所需的知识，还将为他们提供开展研究的技能，为涉及数据驱动的规划和决策的现实问题提供智能/可扩展的规范性分析解决方案。此外，通过REU项目，许多未被充分代表的少数民族、女性和第一代毕业生将接受独立研究方面的培训，这反过来又将激励他们攻读STEM领域的高级学位。暑期课程将培养学生对开发一些创造性和新颖的研究工作的兴趣，例如：(i)实时调度模型以优化无人地面车辆（UGV）转移机器人（又名transbots）的规划和控制，（ii）创建医疗保健流程改进的区块链系统，（iii）设计基于分解的迭代优化算法，用于动态调度和路由无人驾驶飞行器（uav），即无人机和空中出租车，（iv）利用深度学习理解基因型、环境和管理（G×E×M）的相互作用。总而言之，让学生接触到人工智能操作工程规范分析的多学科研究项目，培养他们对科学和工程的热情，培养他们追求高级STEM学位的演讲技能，是拟议中的REU网站的主要目标。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。