NSF funded REU research experiences on big data, AI and medical informatics

(All positions are filled for 2021.)

We have multiple openings for NSF funded Research Experience for Undergraduates (REU).   The program is open to U.S. citizens and permanent residents who are undergraduates majoring in computer science or informatics, or a related field.

The REU projects are extensions of the NSF CAREER project "High Performance Spatial Queries and Analytics for Spatial Big Data" and "CIF21 DIBBs: Middleware and High Performance Analytics Libraries for Scalable Data Science". Students  will conduct interdisciplinary research crosscutting computer science and biomedical informatics. Example projects include (not limited to): 1) Understanding COVID-19’s Impact on Opioid Misuse Using Social Media; 2)  Incorrect Face Mask Wearing Detection and its Deployment Using Amazon DeepLens; 3) Geospatial-temporal Patterns Analysis of 30-day Readmissions of Patients in New York State; 4) Cancer Burdens in Long Island at Census Tract Level; 5) 2020 US Presidential Election and its Correlation Factors (in NYS) at High Spatial Resolution; 6) gaze based communication for motor disabled patients.

You can either start to work immediately (hourly based), or work full-time from June 1 to August 6. 

You will work in the Lab of Data Management and Biomedical Data Analytics, directed by Dr. Fusheng Wang (https://www.cs.stonybrook.edu/~fuswang).  We invite you to join a community of undergraduate researchers, graduate students and faculty to develop innovative solutions for processing, managing, and analyzing large scale data.

Application to the REU Program

The program is open to U.S. citizens and permanent residents who are undergraduates majoring in computer science or informatics, or a related field, with a GPA > 3.0/4.0.  Applicants must have completed at least their freshman year. You must still be in a student status at the time of the research. Potential students submit an application form, unofficial transcript, one letter of recommendation, a personal statement on research interest, previous research experiences, and any coursework relevant to their research interests.

Selection will be rolling based. 

Please fill the 1) application form, 2) uploading an essayCV and unofficial transcript. (You need a gmail account to sign in.) 3) Please have a letter of reference sent to fusheng.wang@stonybook.edu

The REU Experience

The REU program at Stony Brook University “Big Spatial and Image Data Analytics” is an opportunity for qualified, academically talented and motivated undergraduate students interested in eventually pursuing their doctor degree in Computer Science or Biomedical Informatics. The program provides the student an intensive research experience with leading researchers in the field.

The program is expected to run from  June 1 to August 6, 2021. For Stony Brook Students, working hourly in Spring is welcome.  The REU student will participate in a research project mentored by Dr. Fusheng Wang and his Ph.D. students, and become fully integrated in the research group. The student will attend weekly research meetings, and present the research results. The student will also attend academic development workshops co-located with other Stony Brook University REU site, and have the opportunity to present a poster at the REU symposium.  


  • The participant will receive a stipend of $500 per week, for a total of $5000 summer stipend for full time research (or hourly if working from Spring, up to $5000).


For more information, please contact Prof. Fusheng Wang at fusheng.wang @ stonybrook.edu