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.

该 REU 网站的目标是填补学生在规范性分析方面的知识空白，规范性分析是一种分析形式，为如何利用未来机会或减轻未来风险提供决策选项，规范性分析对于服务业、制造业等关键行业尤其重要。 REU 项目不仅将为学生提供所需的知识，而且为他们提供开展研究的技能，以提供涉及现实世界问题数据的智能/可扩展的规范性分析解决方案。驱动的规划和此外，通过 REU 项目，众多代表性不足的少数族裔、女性和第一代毕业生将接受独立研究的培训，这反过来又会激励他们攻读 STEM 的高级学位。学生对一些创造性和新颖的研究工作的兴趣不断发展，例如，（i）实时调度模型，以优化无人地面车辆（UGV）的规划和控制 - 转移机器人（又名传输机器人），（ii）创建区块链医疗流程改进系统，(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机 (UAV)，即无人机和空中出租车，以及 (iv) 了解基因型、环境和管理 (G×E× M) 使用深度学习进行交互总而言之，让学生接触人工智能支持的操作工程的规范分析的多学科研究项目，灌输对科学和工程的热情，并培养他们追求先进的演示技能。 STEM 学位是拟议 REU 站点的主要目标。该奖项反映了 NSF 的法定使命，并且通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。