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REU Site: Non-Invasive Deep Brain-Computer Interfaces

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
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-05-01 至 2025-04-30
关键词:

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中文摘要
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英文摘要
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.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
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
DOI: --
发表时间: 2023
期刊: 2023 Proceedings of the ISCAP Conference
影响因子: --
作者: [Maximum Streeter, Zhigang Li]
通讯作者: Maximum Streeter, Zhigang Li
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
DOI: --
发表时间: 2024
期刊: 2024 Proceeding of Southern Association of Information Systems
影响因子: --
作者: [Anqi zheng,]
通讯作者: Anqi zheng,
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
影响因子: --
作者: [Harbin, Aaron, Baldwin, Kane, Mhatre, Jui, Lee, Ahyoung, Lee, Hoseon]
通讯作者: Lee, Hoseon
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