REU Site: Non-Invasive Deep Brain-Computer Interfaces

REU 网站：非侵入性深层脑机接口

• 批准号: 2244450
• 负责人: Jing He
• 金额: $ 32.37万
• 依托单位: Kennesaw State University Research and Service Foundation
• 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: 2023-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2244450&HistoricalAwards=false
• 关键词: REU; Site; Non; Invasive; Deep

This Research Experiences for Undergraduates (REU) Site will enable eight undergraduate students each year to undertake cutting-edge research topics in Robust Intelligent non-invasive Deep brain-computer interface (BCI) Systems at Kennesaw State University (KSU). The overall goal of this interdisciplinary program is to provide undergraduate students with a multi-mentor academic environment. The REU Site will use the creative potential of BCI technology to attract and broaden the participation of women and underrepresented minorities in the Computing and Engineering fields. The KSU REU program focuses on recruiting students from a broad range of disciplinary backgrounds who are interested in pursuing research careers in Computer and Information Engineering. To achieve this, this REU site will: (i) involve eight students per summer for a 10-week long research project in BCI and related technology with mentored research projects conducted in collaboration with other subfields, (ii) provide training in tools and technologies that are common in these research areas, (iii) inspire participating students to consider STEM as a career path and pursue STEM career at the graduate level, (iv) specifically target participation of women and underrepresented minorities, and (v) encourage participation of undergraduate students who have limited research opportunities at their home colleges and universities. The mentoring team for each REU student includes members not only from computer science but also from diverse backgrounds, including data science, information technology, and engineering technology. Students will participate in various activities to broaden future career opportunities such as graduate study, research scientists, outstanding science and engineer positions, and faculty career path. In addition, REU students will submit their final research papers to target conferences and journals. The investigators and mentors are all women faculty at KSU, which can attract more underrepresented groups to this program.Recruited students will be offered an innovative multi-disciplinary STEM cyber-learning environment and hands-on practices. Through the KSU REU program, eight REU students will fully work on whole-cycle research projects and master professional research skills under the guidance of experienced faculty and industry mentors. These research projects will have a high-level focus on Brain-Computer Interface (BCI)-related topics covering advanced topics in robust intelligence, using non-invasive electroencephalography (EEG) data. This REU site will (i) engage undergraduates in the integrated design of IoT devices, healthcare, big data analysis, cyber security, and deep machine learning methods, (ii) encourage students to participate in student data mining competitions, (iii) help the REU students enhance their presentation skills, research abilities, as well as patent and publication preparation, (iv) provide a transformative career experience for students who are on the brink of making decisions about their post-undergraduate career directions, and (v) provide strong interdisciplinary research opportunities for women and underrepresented undergraduate Students. KSU REU program will organize field trips, workshops, seminars, poster day events, and various social activities to enrich the educational and research experiences. The research carried out by the participating undergraduate students will advance the state of the art in incorporating BCI techniques for various applications such as healthcare (speech and motor disability, mental health, public health and disease spreading), empathy training, privacy preserving data analytics, and machine learning.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.

这项针对本科生（REU）网站的研究经验将使每年八名本科生能够在肯尼索州立大学（KSU）的强大智能非侵入性深层脑部计算机界面（BCI）系统中攻读尖端的研究主题。该跨学科计划的总体目标是为本科生提供多门学的学术环境。 REU网站将利用BCI技术的创造潜力来吸引和扩大妇女和代表性不足的少数民族在计算和工程领域的参与。 KSU REU计划的重点是招募来自各种纪律背景的学生，他们有兴趣从事计算机和信息工程领域的研究职业。 为了实现这一目标，该REU网站将：（i）每个夏天让八名学生在BCI和相关技术中与与其他子领域合作进行的指导研究项目进行为期10周的研究项目，（ii）提供有关这些研究领域常见的工具和技术的培训，（III）Inspire在职业生涯中参与了阶段和群体的群体，并在阶层中参与了STEM和PROFITION PROFESTICES PROFESTICE级和毕业生（IIV）（IIV），IIV（IIV），IIV（IIC），IIV（IV）， （v）鼓励在本学院和大学研究机会有限的本科生参与。每个REU学生的指导团队不仅包括计算机科学的成员，还包括来自数据科学，信息技术和工程技术在内的不同背景。学生将参加各种活动，以扩大未来的职业机会，例如研究生研究，研究科学家，杰出的科学和工程师职位以及教师职业道路。此外，REU学生将向目标会议和期刊提交最终的研究论文。调查人员和导师都是KSU的所有女教师，这些教师可能会吸引该计划的人数不足。通过KSU REU计划，在经验丰富的教职员工和行业导师的指导下，八位REU学生将在全周研究项目和专业研究技能上充分研究。这些研究项目将使用非侵入性脑电图（EEG）数据，高级关注脑部计算机界面（BCI）相关主题，涵盖了鲁棒智能中的高级主题。这个REU网站（i）将（i）参与物联网设备，医疗保健，大数据分析，网络安全和深度机器学习方法的整合设计，（ii）鼓励学生参与学生数据挖掘竞赛，（iii）帮助REU学生增强他们的表现能力，研究能力，并为他们提供专业的经验，以使他们的成就（iv）为学生提供了变革，以使他们的发展习惯，以使学生变得适应，以使他们的发展习惯，以使学生变得适用于启示，并为学生做好了启发，而不是为了使学生提供成果。教职员工的职业指导和（v）为妇女和代表性不足的本科生提供了强大的跨学科研究机会。 KSU REU计划将组织实地考察，研讨会，研讨会，海报日活动以及各种社交活动，以丰富教育和研究经验。 参与的本科生进行的研究将使艺术的状态纳入为医疗保健（言语和运动残疾，心理健康，心理健康，公共卫生和疾病传播），移情培训，保留数据分析的隐私培训和机器学习的隐私培训，这些奖项通过评估NSF的法定任务和建立的范围，以表现出诸如医疗保健（言语和运动，心理健康，公共卫生和疾病蔓延）等各种应用的BCI技术。 标准。

项目成果

Brain-Computer Interface and VR/AR for the Diagnosis and Intervention of ADHD and ASD: A Preliminary Review

脑机接口和 VR/AR 用于 ADHD 和 ASD 诊断和干预的初步综述

• 发表时间: 2023
• 期刊: 2023 Proceedings of the ISCAP Conference
• 作者: Maximum Streeter, Zhigang Li

Machine Learning Load Balancing Algorithms in SDN-enabled Massive IoT Networks

支持 SDN 的大规模物联网网络中的机器学习负载均衡算法

• DOI: 10.1109/ipccc59175.2023.10253834
• 发表时间: 2023
• 期刊: IEEE
• 作者: Harbin, Aaron;Baldwin, Kane;Mhatre, Jui;Lee, Ahyoung;Lee, Hoseon
• 通讯作者: Lee, Hoseon

RAIN-COMPUTER INTERFACE (BCI) IN NEUROSCIENCE FROM 2008 TO 2023: A SURVEY

2008 年至 2023 年神经科学中的 RAIN-计算机接口 (BCI)：一项调查

• 发表时间: 2024
• 期刊: 2024 Proceeding of Southern Association of Information Systems
• 作者: Anqi zheng,