1. NIU Department of Computer Science
  2. About
  3. Faculty and Staff

Hamed Alhoori

Associate Professor

Office: PM 459
Email: alhoori@niu.edu
Website: https://alhoori.github.io

Education

  • Ph.D., Texas A&M

Areas of Interest

  • Data Science
  • Artificial Intelligence
  • Machine Learning
  • Text Mining
  • Social Media Analytics
  • Computational Social Science

Representative publications

Google Scholar Profile

  • V. Seethi, Z. LaCasse, P. Chivte, J. Bland, S. Kadkol, E. Gaillard, P. Bharti, H. Alhoori, “An explainable AI approach for diagnosis of COVID-19 using MALDI-ToF mass spectrometry,” Expert Systems with Applications, vol 236, 2024.
  • A. Akella, D. Koop, H. Alhoori “Laying foundations to quantify the Effort of Reproducibility,” ACM/IEEE JCDL, 2023.
  • A. R. Shaikh, H. Alhoori, and M. Sun, “YouTube and Science: Models for Research Impact” Scientometrics vol. 128, no. 2, 2023.
  • M. Shahzad, H. Alhoori, R.Freedman, and A. R. Shaikh “Quantifying the online long-term interest in research,” Journal of Informetrics, vol 16, no.2, 2022.
  • A. Akella, H. Alhoori, P. R. Kondamudi, C. Freeman, and H. Zhou, “Early Indicators of Scholarly Impact Predicting Citations with Altmetrics,” Journal of Informetrics, vol.15, no. 2, 2021.
  • C. Freeman, H. Alhoori, and M. Shahzad, “Measuring the Diversity of Facebook Reactions to Research,” Proceedings of the ACM on Human-Computer Interaction, vol. 4, no. GROUP, 2020.
  • H. Alhoori, M. Samaka, R. Furuta, and Edward A. Fox, “Anatomy of Scholarly Information Behavior Patterns in the Wake of Academic Social Media Platforms,” International Journal on Digital Libraries, vol. 20, no. 4, 2018.
  • H. Alhoori and R. Furuta, “Recommendation of scholarly venues based on dynamic user interests,” Journal of Informetrics, vol. 11, no. 2, 2017.
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