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

随着人们对人类福祉与环境之间关系的理解不断加深，慢性疾病的日益流行、人口老龄化和气候变化都促使人们需要快速采用远程生物监测。高效和有效的监测需要跨多个学科的协调研究工作，以寻求创新和变革性的解决方案，研究环境中的人们及其对当地和全球气候变化的反应。本科生研究体验（REU）网站专注于将核心人工智能（AI）技术整合到弹性健康和生物系统的传感系统研究中，并为学生提供独特的跨学科研究体验。这个REU夏季计划将有助于建立所需的劳动力，以紧急采用基于最新技术进步的创新生物监测系统，包括智能和微型传感器，通信技术和人工智能。这个REU网站每年将从代表性不足的团体和机构中招募8名有才华的本科生，这些团体和机构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网站将建立一个由具有不同专业知识的研究人员共享的研发平台，参与的学生将学习与智能和弹性健康和生物系统的尖端AI驱动解决方案相关的各个主题。教师导师将合作，让学生参与各种弹性问题，为他们提供人工智能驱动的物联网（IoT）弹性研究的跨学科性质的理解。沿着这些研究活动，计划在奖学金期间举办知识拓展讲座/讲座，为学生提供人工智能技术及其应用的深入内容知识，以加强系统的弹性。虽然REU计划将主要培养未来成功的专业人士，但开发的平台也将提高该机构容纳更大项目的能力，同时保持对核心技术的关注，如人工智能，网络物理系统，物联网，数据科学，网络安全和弹性。这一宝贵的经验可以在培养新一代创新者方面发挥变革性作用，这些创新者可以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。

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.