معرفی
Shebuti Rayana is an Assistant Professor of Computer Science in the Department of Mathematics, Computer & Information Science at the State University of New York at Old Westbury (SUNY OW). She holds a PhD from Stony Brook University, specializing in Computer Science, and completed her Master's and Bachelor's degrees in Computer Science and Engineering at Stony Brook University and Bangladesh University of Engineering and Technology (BUET), respectively.
- Education:
- PhD in Computer Science, Stony Brook University (advised by Leman Akoglu)
- MS in Computer Science, Stony Brook University
- B.Sc. in Computer Science and Engineering, BUET (advised by Saidur Rahman)
Her research focuses on misinformation detection, hate speech analysis, anomaly mining, and graph-based data mining. She has led projects funded by NSF, DARPA, and industry partnerships, including a recent NSF CISE-MSI grant to enhance big data research infrastructure at SUNY OW. She collaborates with the Third Space Research Group at the University of Toronto on social media stigma detection.
Key contributions include developing ensemble methods for anomaly detection, such as SELECT and CARE, and creating datasets like the 'COVID-Stigma' collection of anti-Asian tweets. She has held roles as a Research Assistant Professor at Stony Brook University and a Research Intern at IBM Watson Research Center.
Awards: Member of the 2020-21 SUNY PRODiG Cohort (Promoting Research Initiatives in the Disciplines).
Teaching: Courses include Computer Programming, Data Structures & Algorithms, and Data Mining. She emphasizes integrating research into undergraduate education through seminars and workshops.
