REU Site: Artificial Intelligence-Driven Resilient Health and Biological Systems

REU 网站：人工智能驱动的弹性健康和生物系统

• 批准号: 2349464
• 负责人: Mohammad Rahman
• 金额: $ 37.2万
• 依托单位: Florida International University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-04-15 至 2027-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2349464&HistoricalAwards=false
• 关键词: REU; Site; Artificial; Intelligence; Driven

As the understanding of the relationship between people’s well-being and the environment grows, the increasing prevalence of chronic ailments, the aging population, and changes in climate fuel the need to rapidly adopt remote biological monitoring. Efficient and effective monitoring requires coordinated research efforts across multiple disciplines for innovative and transformative solutions to study people in their environment and their response to the changing climate locally and globally. This Research Experience for Undergraduates (REU) site focuses on integrating core artificial intelligence (AI) technologies into the research on sensing systems for resilient health and biological systems and providing students with unique and interdisciplinary research experiences. This REU summer program will help build the workforce needed for the urgent adoption of innovative biomonitoring systems built on recent technological advancements, including smart and miniaturized sensors, communication technologies, and AI. This REU site will recruit eight talented undergraduates annually from underrepresented groups and institutions without substantial research activities.AI-driven smart and resilient systems integrate different supporting technologies, which requires cross-domain collaboration in research and development. The REU site will build a research and development platform shared by researchers with different expertise, whereby the participating students will study individual topics related to cutting-edge AI-driven solutions for smart and resilient health and biological systems. Faculty mentors will collaborate to engage the students in various resiliency problems, providing them with an understanding of the interdisciplinary nature of AI-driven Internet of Things (IoT) resilience research. Along with these research activities, knowledge-broadening lectures/talks are planned over the scholarship period to provide students with in-depth content knowledge of AI techniques and their applications to strengthen system resilience. While the REU program will primarily train future successful professionals, the developed platform will also increase the institution’s capacity for housing bigger projects while maintaining its focus on core technologies, such as AI, cyber-physical systems, internet of things, data science, cybersecurity, and resilience. This valuable experience can play a transformational role in preparing new generation innovators who can ensure the nation’s AI and technology competitiveness in the global economic ecosystem.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.

随着人们对人类福祉与环境之间关系的认识不断加深，慢性病的患病率不断上升、人口老龄化以及气候变化，快速采用远程生物监测的必要性要求各个领域协调一致的研究工作。该本科生研究体验 (REU) 网站致力于将核心人工智能 (AI) 技术融入到传感系统研究中。有弹性的健康和生物系统以及该 REU 夏季项目将帮助学生建立紧急采用基于最新技术进步的创新生物监测系统所需的劳动力，包括智能和小型化传感器、通信技术和人工智能。每年从代表性不足的团体和机构培养八名优秀的本科生，但没有实质性的研究活动。人工智能驱动的智能和弹性系统集成了不同的支持技术，这需要跨领域的研发合作。REU站点将建立一个由研究人员共享的研发平台。与不同的专业知识，参与的学生将研究与智能和有弹性的健康和生物系统的尖端人工智能驱动解决方案相关的个人主题，教师导师将合作让学生解决各种弹性问题，让他们了解跨学科的性质。除了这些研究活动外，还计划在奖学金期间举办知识拓展讲座/讲座，为学生提供有关人工智能技术及其应用的深入内容知识，以增强系统的弹性。虽然 REU 计划将主要培训对于未来成功的专业人士来说，开发的平台还将提高该机构容纳更大项目的能力，同时保持对人工智能、网络物理系统、物联网、数据科学、网络安全和弹性等核心技术的关注。在培养新一代创新者方面发挥变革性作用，确保国家在全球经济生态系统中的人工智能和技术竞争力。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。