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Reem Salman

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Reem Salman

PhD Candidate
Department of Information Security and Communication Technology

reem.salman@ntnu.no
+4773412464 B220 ElektroB Gløshaugen, Trondheim
About Publications

About

CV

Reem received her BSc in Mathematics from the American University of Sharjah (AUS) 2020, where she worked as a grader, tutor, and research assistant in the Department of Mathematics and Statistics, and was awarded the Al Ghurair STEM Scholarship.

She went on to complete her MSc at AUS as a graduate teaching and research assistant, during which she was recognized with the Graduate Student Research, Scholarly, and Creative Work Excellence Award in 2022.

She is currently a PhD candidate specializing in cryptography and privacy-preserving machine learning. Her research focuses on secure computation and the design of privacy-enhancing techniques for health registry data access.

Competencies

  • Cryptography
  • Differential Privacy
  • Machine Learning
  • Statistics

Publications

  • Salman, R., A. Alzaatreh, and H. Sulieman. 2026. “A Review of Feature Selection Methods and Ensembles.” WIREs Data Mining and Knowledge Discovery 16 (2): e70085.
  • Salman, R., A. Alzaatreh, and H. Sulieman. 2025. “Within Importance Score Aggregation for Wrapper-Based Feature Selection and Its Stability.” Annals of Data Science, 1–25.
  • Salman, R., A. Alzaatreh, and M. T. Al Bataineh. 2023. “Feature Selection of the Respiratory Microbiota Associated with Asthma.” Journal of Big Data 10 (1): 90.
  • Salman, R., A. Alzaatreh, and H. Sulieman. 2022. “The Stability of Different Aggregation Techniques in Ensemble Feature Selection.” Journal of Big Data 9 (1): 1–23.
  • Salman, R., and A. Alzaatreh. 2022. “Market Basket Analysis of Chicago Road Accidents.” In ASET Conference (IEEE), 1–7.
  • El-Sakran, A., R. Salman, and A. Alzaatreh. 2022. “Impacts of Emergency Remote Teaching on College Students amid COVID‑19 in the UAE.” International Journal of Environmental Research and Public Health 19 (5): 2979.
  • Salman, R., A. Alzaatreh, H. Sulieman, and S. Faisal. 2021. “A Bootstrap Framework for Aggregating Within and Between Feature Selection Methods.” Entropy 23 (2): 200.
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