NSF REU: Exploring Scalable Data Analytics for Big Data at Stony Brook University (2018)

REU 2018 Poster by Hannah Yao: Detecting Suicide Risk Among Opioid Users on Reddit Using Deep Learning

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. 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 10th, 2018 (rolling thereafter.)

Please fill the 1) application form, and send your 2) CV,  3) Personal Statement and 3) Unofficial Transcript to fusheng.  wang AT stonybook . edu. Please have 4) a letter of reference sent to the same email too. 

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 May 30 - August 3, 2018.  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 participant will receive a stipend of $500 per week, for a total of $5000 summer stipend for full time research.
  • Housing and meals will be provided to the participant.
  • A $500 travel award is provided if the participant lives more than 75 miles from the Stony Brook Campus.


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