Publications

Conference:

• Phuong Minh Nguyen, Donnoban Maldonado, Cheyenne Ty, Yun Wan, Xiwei Wang, Sherrene Bogle,
  Palvi Aggarwal, and Shebuti Rayana, “School or Student? A Mixed Method Analysis on Reddit Data
  for Transfer Barrier Identification.” – In the DSI Annual Conference 2025. (accepted)
• Mohamad Khalefa, Shebuti Rayana, Kinning Poon, Christos Noutsos, and Renu Balyan. “Manag-
  ing HPC Cluster for Research and Teaching Workload.” – International Conference on Computational Science and Computational Intelligence (CSCI), December 11-13, Las Vegas, Nevada, 2024.
• Jason Standfast, Julian Franco, Rudy Caraballo, Kay Vargas, Yun Wan, Xiwei Wang, Sherrene
  Bogle, Palvi Aggarwal, and Shebuti Rayana. “Deciding on a College Transfer: Uncovering Tran-
  sition Queries and Concerns via Reddit Topic Modeling.” – In the DSI Annual Conference 2024 (pp
  440-455), November 23-25, Phoenix, Arizona, 2024.
• Claire MacDonald, Palvi Aggarwal, Xiwei Wang, Yun Wan, Shebuti Rayana, Rudy Caraballo, and
  Sherrene Bogle. “What do Transfer Students Have to Say: An Analysis of the Experience of Transfer
  Students through Topic Modeling.” – ASEE Annual Conference & Exposition, June 2024.
• Sherrene Bogle, Shebuti Rayana, Palvi Aggarwal, Claire McDonald, Xiwei Wang, Yun Wan, Kay
  Vargas and Victor Diaz, “Exploratory Analysis of Correlation between Personality Traits and the Suc-
  cess of Computing Major Transfer Students” – NCCiT, November 2023.
• Yun Wan, Sri Vishnu Gopinathan, Palvi Aggarwal, Sherrene Bogle, Shebuti Rayana and Xiwei
  Wang, “A Survey of Student Counseling Systems: Functions, Designs, and Interactions” – Association for Information Systems AIS Electronic Library (AISeL) AMCIS TREO Talk Paper, August 2023.
• Kinning Poon, STC Chak, Mohamed Khalefa, Christos Noutsos, Shebuti Rayana and Renu Balyan,
  “Undergraduate Student Motivation in Research, Science, and Post-Bachelor Education” – Practice and Experience in Advanced Research Computing (PEARC), pp 161 – 168, July 2023.
• Xiwei Wang, Shebuti Rayana, Sherrene Bogle, Palvi Aggarwal and Yun Wan, “A Preliminary
  Factor Analysis on the Success of Computing Major Transfer Students” – ASEE Annual Conference & Exposition, June 2023.
• Shebuti Rayana, Wen Zhong, Leman Akoglu, Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective. In ICDM, Barcelona, Spain, 2016 (short paper) 
• Shebuti Rayana, Leman Akoglu, Collective Opinion Spam Detection using Active Inference. In SIAM SDM, Miami, Florida, USA, May 5-7, 2016
• Shebuti Rayana, Leman Akoglu, Collective Opinion Spam Detection: Bridging Review Networks and Metadata. In ACM SIGKDD, Sydney, Australia, August 10-13, 2015
• Shebuti Rayana, Leman Akoglu, Less is More: Building Selective Anomaly Ensemble with Application to Event Detection in Temporal Graphs. In SIAM SDM, Vancouver, BC, Canada, April 2015

Journal:

• Cheyenne Ty, Kay Vargas, Yun Wan, Xiwei Wang, Palvi Aggarwal, Shebuti Rayana, and Sherrene
  Bogle. “Investigation of Computing Transfer Students Success” – Journal of Computing Sciences in
  Colleges, 40(1), pp 81–91, 2024.
• Kay Vargas, Victor Diaz, Claire MacDonald, Yun Wan, Xiwei Wang, Palvi Aggarwal, Shebuti
  Rayana, and Sherrene Bogle. “Investigation of Social Cognitive Factors Affecting Computing Transfer Students” – Journal of Computing Sciences in Colleges, 39(10), pp 16–22, 2024.
• Maryam Mokhberi, Ahana Biswas, Zarif Masud, Roula Kteily-Hawa, Abby Goldstein, Joseph Roy
  Gillis, Shebuti Rayana and Syed Ishtiaque Ahmed. “Development of COVID-19-related Anti-Asian
  Tweet Dataset: A Quantitative Study” – JMIR Formative Research, 7:e40403, 2023.
• Shebuti Rayana, and Leman Akoglu, Less is More: Building Selective Anomaly Ensemble.  Transactions on Knowledge Discovery from Data (TKDD), May, 2016.

Workshop:

• 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, An Ensemble Approach for Event Detection and Characterization in Dynamic Graphs.  ACM SIGKDD 2nd Workshop on Outlier Detection and Description (ODD^2@KDD 2014), New York, NY, USA, Aug. 2014.
• Shebuti Rayana, Leman Akoglu, Collective Opinion Spam Detection: Bridging Review Networks and Metadata. In Workshop on Information in Networks (WIN), New York, USA, October 2015

Poster:

• Shebuti Rayana, and Leman Akoglu, Collective Opinion Spam Detection: Bridging Review Networks and Metadata.  Grace Hopper Celebration of Women in Computing, Houston, Texas,  2016