Multidisciplinary Graph Data Analytics
Georgia State University Research Foundation,·Atlanta, GA
Closed for cycleComputational/Data ScienceBioinformatics/Computational Biology✓ verified
(REU) site: Multidisciplinary Graph Data Analytics at Georgia State University is an eight-week summer research program (06/01/2026 - 07/24/2026) to provide undergraduates a research-intensive training and offer valuable opportunities to actively engage in multidisciplinary data analytics projects. The participants will engage in research projects in graph data analytics with practical applications in social networks, bioinformatics, and business analytics under faculty mentors' mentorship and guidance. Additionally, students will gain insights into industry research practices through field trips and guest speaker sessions. Upon completion of the program, participants are expected to acquire a robust skill set essential for successful careers in science and technology, particularly in the ever-growing field of data science. Students will learn how to develop and use different graph machine learning (e.g., graph neural networks), graph data mining (e.g., graph clustering), and statistical methods (e.g., regression) while working on real-world projects with applications in social networks, bioinformatics, and business analytics. The research projects will fall into the following categories: 1) Graph Neural Networks with Graph Compressing, 2) Influence Maximization on Networks, 3) Text mining with Graph, and 4) Biomedical Data Analysis using Heterogeneous Graphs. Our 8-week summer program offers a $700/week stipend as well as room and board, meal vouchers, and up to $600 of travel reimbursement. Students will also receive professional development training to successfully apply to and excel in graduate school and non-academic jobs.
Machine learning, Data analytics, Graph analytics, Bioinformatics, Social network analysis, Business data analytics, Biomedical Data analysis
US citizens or permanent residents undergraduates Applicants must have completed at least one year of undergraduate study and have at least one semester of study remaining toward their degree at the time of the program. Students from underserved populations are encouraged to apply. Students aiming for careers that involve research are encouraged to apply. Students enrolled in non-research-intensive colleges, universities, and community colleges are encouraged to apply. A minimum of a 2.7 grade point average is required.
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