Shebuti Rayana

Shebuti Rayana
Assistant Professor
New Academic Building

I am an Assistant Professor of Computer Science in the Department of Mathematics, Computer and  Information Science at the State University of New York at Old Westbury. I earned my PhD from the Department of Computer Science at Stony Brook University.  Before moving to the United States for higher studies, I studied Computer Science and Engineering at Bangladesh University of Engineering and Technology (BUET).

During my PhD, I was involved in several projects funded by National Science Foundation (NSF), Defense Advanced Research Projects Agency (DARPA), and R&D grant from Northrop Grumman to develop Anomaly Mining algorithms and apply them to solve real-world problems. Recently, we have been awarded an NSF: Computer and Information Science and Engineering - Minority Serving Institution (CISE-MSI) grant (Co-PI) to increase the research capacity at SUNY OW by creating the infrastructure for big data research, incorporating course embedded undergraduate research experience, and training undergraduate students in big data research through seminars, workshops, and summer bridge programs. Moreover, I am working on several projects on misinformation, stigma, and hate speech detection from social media platforms in collaboration with the Third Space research group of the University of Toronto. 

I worked as a Research Intern in the Information Security team at IBM Thomas J. Watson Research Center in Summer 2015. After I defended my PhD, I worked as a Research Assistant Professor (non-tenure track) in the Department of Computer Science at Stony Brook University (SBU) for two semesters (Fall 2017 – Spring 2018).

Courses Taught
  • CS 2510: Computer Programming I - Fall 2020, Spring 2021, Fall 2021, Spring 2022
  • CS 3810: Data Structures and Algorithms - Fall 2020, Fall 2021
  • CS 5810: Data Mining - Spring 2021, Spring 2022
  • PhD in Computer Science, Stony Brook University, Stony Brook, NY

Supervisor: Leman Akoglu, Dean’s Associate Professor, Information Systems and Public Policy, Heinz College, Carnegie Mellon University

Thesis: Ensemble and Multimodal Learning for Anomaly Mining: Algorithms and Applications. [The thesis (.pdf) can be found here]

  • MS in Computer Science from Stony Brook University, Stony Brook, NY
  • B.Sc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

Thesis Supervisor: Saidur Rahman, Professor, Department of Computer Science and Engineering, BUET

Thesis: Topological Book Embeddings of Planar Graphs

Honors & Awards
  • Member of 2020-21 SUNY PRODiG Cohort
Student/College Service
  • Member of Presidential IT Governance Advisory Committee
  • Member of Advancing Research and Sponsored Program Task Force
Research Interests

My research interest includes Misinformation Mining, hate speech and stigma detection, Event and Anomaly detection, Large-scale graph mining, Data mining, and Machine Learning.



  • Shebuti Rayana, Wen Zhong and Leman Akoglu, "Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective" - ICDM, pp 1167 - 1172, December 2016
  • Shebuti Rayana and Leman Akoglu, "Collective Opinion Spam Detection using Active Inference" - SIAM SDM, pp 630 - 638, Miami, Florida, USA, May 2016
  • Shebuti Rayana and Leman Akoglu, "Collective Opinion Spam Detection: Bridging Review Networks and Metadata" - ACM SIGKDD, pp 985 - 994, Sydney, Australia, August 2015
  • Shebuti Rayana and Leman Akoglu, "Less is More: Building Selective Anomaly Ensembles with Application to Event Detection in Temporal Graphs" - SIAM SDM, Vol 17, pp 622 - 630, Vancouver, BC,Canada, April 2015


  • Shebuti Rayana and Leman Akoglu, "Less is More: Building Selective Anomaly Ensembles" - ACM Transactions on Knowledge Discovery from Data, Vol 10, Issue 4, Article No.: 42, pp 1 - 33, May, 2016


  • Ahana Biswas, Zarif Masud, Shebuti Rayana, and Syed Ishtiaque Ahmed, "Sinophobia on Twitter: Integrating Theory, Humans, and Machines" - ACM CSCW Workshop on Addressing Challenges and opportunities in Online Extremism Research: An Interdisciplinary Perspective, October 2021
  • Shebuti Rayana and Leman Akoglu, "Collective Opinion Spam Detection: Bridging Review Networks and Metadata" - Workshop on Information in Networks (WIN), New York, USA, October 2015
  • Shebuti Rayana and Leman Akoglu, "An Ensemble Approach for Event Detection and Characterization in dynamic Graphs" - ACM SIGKDD 2nd Workshop on Outlier Detection and Description (ODD2@KDD2014), New York, USA