Researcher – IoT Intrusion Detection Project
Shomal University / Research Collaboration
Designed and evaluated feature engineering pipelines for intrusion detection using Python, Scikit-learn, benchmark datasets, and ensemble learning strategies.
Mohammadali Mousavireineh
Machine Learning Researcher · Data Analyst · Python Instructor · IT Administrator
Researcher with applied engineering depth
My background connects three practical worlds: machine learning research, operational IT infrastructure, and programming education. This combination helps me design research that is not only methodologically controlled, but also meaningful for real network and cybersecurity systems.
Featured Research
Optimized Feature Engineering for IoT Intrusion Detection: Synergy of Feature Selection, Feature Extraction, and Classifier Ensemble
Manuscript under review · Multimedia Tools and Applications (Springer)
This study investigates how carefully designed feature selection and feature extraction pipelines can improve machine learning-based intrusion detection in IoT and heterogeneous network environments. A unified, leakage-free experimental framework is evaluated across UNSW-NB15, AWID, and CSE-CIC-IDS2018. The work compares filter-based feature selection methods, feature extraction techniques, twelve classifier families, and stacking-based meta-learning to identify robust and efficient IDS configurations.
Experience
IT Administrator
Social Security Organization, Iran
Maintaining servers, client systems, internal IT infrastructure, security monitoring, troubleshooting, technical support, and data management.
Programming and Data Analysis Instructor
Pishrorayaneh Institute & Rayanamol Institute, Amol
Teaching Python, data analysis, computer vision fundamentals, frontend/backend web development, and project-based programming skills.
Education
M.Sc. in Computer Engineering – Computer Networks
Shomal University, Amol, Iran
GPA: 19.43/20 · Top student · Thesis: Optimized Feature Engineering for IoT Intrusion Detection
B.Sc. in Software Engineering
Shomal University, Amol, Iran
GPA: 17.50/20
Technical Skills
Programming
Python · JavaScript · PHP · SQL / MySQL · HTML5 · CSS3
Machine Learning & AI
Scikit-learn · TensorFlow · PyTorch · Feature Engineering · Ensemble Learning · Model Evaluation
Data Analysis
Pandas · NumPy · Data Cleaning · Dimensionality Reduction · Experimental Design
Domains
Network Security · Intrusion Detection Systems · Computer Vision · IT Administration · Cybersecurity