Research Experience for Undergraduate - College of Computing and Software Engineering

NSF REU SITE: Non-Invasive Deep Brain-Computed Interfaces

肉肉传媒, Marietta Campus

10-week Research Experience for Undergraduate
(May 20 - July 26, 2024锛�

The first two weeks will be virtual. Onboarding date will be 6/2/2024.

two ccse students sgtanding in outside in front of ksu marietta campus sign

The 10-week REU focuses on undertaking interdisciplinary cutting-edge research topics in Robust Intelligent non-invasive Deep brain-computer interface (BCI) Systems. Please look through the potential research projects and then choose your preferences of the potential research topics.

$5,800 stipend + housing and meal plan;
Travel allowance up to $600;
Application is FREE;
Inter-disciplinary training;
Participate in cutting-edge research;
Diverse range of research topics;
Explore Atlanta local attractions!

Students will work closely with faculty and graduate student mentors. The computing training includes coding, modeling, simulation, deep learning neural networks, computer vision, statistics, data visualization, and mobile App development.

Eligibility:

U.S. citizen or a permanent resident of the United States.
Undergraduate rising junior or rising senior students major in computer science or related discipline. (Rising sophomores will be considered as well)
No minimum GPA requirement.
under representative students in STEM are highly encouraged to apply.

Application Process

Student application includes an application form, unofficial transcripts, a resume/CV, preferences of research topics, and at least 2 references. All application materials will be upload through an online-application form. Student applications will be reviewed by a team of faculty research mentors.

Deadline for application: March 16, 2024

Review of applications will start on March 17, 2024.

Potential REU Research Projects

EEGs Engineering Data Analysis and IoT Integration for Helping People with Speech and Motor Disability
Advancement of a Cloud Computing-oriented Machine Learning Analytics (CC-oriented MLA) Platform for Analyzing EEG Data
How the microbiome affects human health and disease
Privacy-Preserving Deep Learning Models for Mental Health Prediction with EEG Dataset

Integrated Machine Learning Approaches to Improve Classification performance and Feature Extraction Process for EEG Dataset
Enhancing the Security and Privacy of Wearable BCI
Personalized Machine Learning of Depressed Mood using Wearables

DOWNLOAD NSF REU FLYER

肉肉传媒 State to offer undergraduate research experience in brainwave technology

Selena He and Shirley Tian, esteemed faculty members from the College of Computing and Software Engineering (CCSE), have secured a substantial $324,000 grant. This funding will support their pioneering initiative, a National Science Foundation Research Experience for Undergraduates (REU) program. Over the course of three consecutive summers, this 10-week research program will immerse eight undergraduate students each session in in-depth data discovery, facilitated by cutting-edge technology.

This unique opportunity is not limited by geography; the program welcomes talented students from across the nation to participate, fostering a diverse and dynamic learning environment.

Selena He and Shirley Tian accepting grant award for research experience