NSF-FUNDED DATA ANALYTICS REU
Empowering Future Data Scientists in Appalachia. Welcome to the REU: Undergraduate Research in Data Analytics (URDA), a 10-week summer research experience at Marshall University. This NSF-funded program is designed to provide transformative research opportunities for undergraduate students, particularly first-generation students, underrepresented minorities, and students from resource-limited institutions in Appalachia.
Our program equips students with cutting-edge skills in data analytics, machine learning, cybersecurity, and artificial intelligence, connecting classroom knowledge to real-world applications. Through mentorship, hands-on projects, workshops, and networking, participants will gain the expertise needed to excel in graduate studies and careers in data science.
Why Choose REU: URDA?
- Work on innovative research projects in predictive, descriptive, diagnostic, risk, threat, behavior, and visual analytics.
- Gain hands-on experience with real-world datasets and advanced data science tools.
- Receive personalized mentorship from leading faculty in Computer Science and Data Analytics.
- Collaborate with peers in a supportive and inclusive research community.
- Present your research at conferences and symposiums with opportunities for publication.
Program Highlights
- Duration: 10 weeks (Summer)
- Location: Marshall University, Huntington, WV
- Stipend: Competitive NSF-funded stipend
- Eligibility: Open to undergraduate students nationwide, with an emphasis on students from West Virginia, Kentucky, and Ohio.
Apply Now! Don’t miss this opportunity to jumpstart your research career in data science!
https://etap.nsf.gov/award/7954/opportunity/10858
Core Research Areas
- Big Data & Predictive Analytics: Forecasting trends, anomaly detection, and workload predictions, i.e., Truth Tracker: Can AI Spot Fake News?
- Cybersecurity & Threat Analytics: Analyzing security logs, intrusion detection, and risk analytics, ie, Analyzing Intrusion Detection Logs in IoT Networks
- Machine Learning & AI: Data modeling, deep learning, and algorithm optimization, ie, Emotional Analytics for Images, Innovative Railroad Maintenance System
- Social Media & Behavioral Analytics: Understanding user behavior through social media data, ie, Understanding Virtual Reality Players
- IoT & Smart Systems Analytics: Leveraging sensor data for security and efficiency, ie, Immersive Virtual Reality for Enhanced Learning Environments, Smart IoT-Driven Data Visualization for Decision Making
Participants will engage in
- Hands-on research projects guided by faculty mentors.
- Workshops & Seminars on cutting-edge data analytics techniques.
- Technical and professional development training to enhance research skills.
- Networking opportunities with industry professionals and graduate school representatives.
- Final Research Symposium, where students present their work.
Activities
Engaging, Hands-On Research & Learning Experience
The REU: URDA program is designed to provide students with real-world research experience through various activities:
Technical Workshops:
- Data Analytics Tools (Python, R, Weka, Jupyter Notebooks)
- Data Cleaning & Preprocessing Techniques
- Machine Learning & AI for Data Science
- Cybersecurity & Threat Analytics
- Data Visualization and Dashboard Creation
Research Seminars & Professional Development
- Scientific Writing & LaTeX for Research Papers
- How to Present Research Effectively
- Ethics in Data Science
- Career Paths in Data Analytics
- Graduate School Preparation