Mohammadali Mousavireineh

Working at the intersection of machine learning, network security and education. Turning ideas into reproducible experiments and practical skills.

Pipeline-Centric Cross-Dataset Evaluation of Feature Reduction Strategies for Machine Learning-Based Intrusion Detection

Evaluating feature selection and dimensionality reduction across network-security datasets with strict training and evaluation separation.

This research investigates feature-reduction strategies within reproducible machine-learning workflows.
The research work includes UNSW-NB15, AWID and CSE-CIC-IDS2018 datasets.
Authors: Mohammadali Mousavireineh, Reza Barzegar Nozari, Hamidreza Koohi and Ziad Kobti.