NSF-sponsored Research Experiences for Undergraduates (REU) 


Exploring Scalable Data Analytics

for Big Data at Stony Brook University


Many scientific problems depend on the ability to analyze and compute on large amounts of data. This analysis often does not scale well; its effectiveness is hampered by the increasing volume, variety and rate of change (velocity) of big data. We are computer science researchers at Stony Brook University working on developing next generation big data systems and methods to accelerate data analytics at large scale.

You are invited to participate a Research Experiences for Undergraduates Program (REU) associated with the NSF award “CIF21 DIBBs: Middleware and High Performance Analytics Libraries for Scalable Data Science”. You will work in the Lab of Scalable Data Management and Analytics, directed by Dr. Fusheng Wang (http://fushengwang.net).  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; graduating seniors are not eligible. Potential students submit an application form, unofficial transcript, one letter of recommendation, 1-2 page personal statement on research interest, previous research experiences, and any coursework relevant to their research interests.

Priority deadline is April 24th, 2015 (rolling thereafter.)

Please submit your application from the site below:


The REU Experience

The REU program at Stony Brook University “Exploring Scalable Data Analytics for Big Data” is an opportunity for qualified, academically talented and motivated undergraduate students interested in eventually pursuing their doctor degree in Computer Science or 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 - August 7, 2015.  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 of DIBBS, 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 student is also invited to participate “New York Scientific Data Summit” held jointly by Brookhaven National Lab and Stony Brook University at New York University in early August.


· The participant will receive a stipend of $500 per week, for a total of $4000 summer stipend for full time research.

·  Housing and meals will be provided to the participant.

·  A $300 travel award is provided to attend the New York Scientific Data Summit conference.


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