PhD Researcher & Academic

Isam Bahaa
Aldallal

Pioneering research at the intersection of cybersecurity, the Internet of Things, and embedded systems — developing intelligent, data-driven frameworks that protect and advance the connected world.

Cybersecurity Internet of Things Embedded Systems Machine Learning Intrusion Detection Anomaly Analysis
Dr. Isam Bahaa Aldallal

Dr. Isam Bahaa Aldallal

PhD Researcher

Altinbas University, Istanbul

4
Publications
3+
Years Research
5
Profiles
2
Core Domains

About Me

I am Isam Bahaa Aldallal, a PhD researcher at Altinbas University in Istanbul, Turkey, where my work bridges the disciplines of cybersecurity, the Internet of Things (IoT), and embedded systems. My research is driven by a commitment to developing robust, intelligent solutions to the increasingly complex security challenges facing our hyper-connected world.

My academic contributions focus on the design and evaluation of machine learning and metaheuristic optimization frameworks for intrusion detection, network anomaly analysis, and predictive healthcare intelligence. I employ a rigorous, data-driven methodology that combines classical statistical learning with advanced bio-inspired algorithms such as genetic algorithms and support vector machines.

With four peer-reviewed publications spanning leading international journals in 2025–2026, I have established a growing body of work that addresses real-world challenges — from securing IoT network infrastructures to applying clustering methodologies to global health datasets. I am passionate about translating cutting-edge research into solutions with measurable, societal impact.

"Security is not a product, but a process — and intelligent systems are its most powerful guardian."

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Institution

Altinbas University, Istanbul

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Research Focus

Cybersecurity, IoT, Embedded Systems

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Specialisation

Intrusion Detection, ML-based Security

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Location

Istanbul, Turkey

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Published Works

4 peer-reviewed journal articles (2025–2026)

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ORCID

0009-0000-0652-5877

Publications

01

Computers, Materials & Continua

An Intelligent Multi-Stage GA–SVM Hybrid Optimization Framework for Feature Engineering and Intrusion Detection in Internet of Things Networks

2026 IoT Security Genetic Algorithm SVM
02

Mesopotamian Journal of AI in Healthcare

Machine Learning Approaches for Predicting Breast Cancer Recurrence: A Comparative Analysis

2025 Healthcare AI Predictive ML
03

Babylonian Journal of IoT

Factor-Based Unsupervised Network Traffic Anomaly Analysis Using Density, Spectral, and Hierarchical Clustering

2026 Network Analysis Anomaly Detection Clustering
04

Journal of AI and Metaheuristics

Hierarchical Clustering of Global COVID-19 Statistics

2025 COVID-19 Hierarchical Clustering Global Health

Research Skills

Security & Networks

Intrusion Detection Systems 95%
Network Traffic Analysis 92%
IoT Security Frameworks 90%
Embedded Systems 85%

Machine Learning

Support Vector Machines 94%
Clustering Algorithms 93%
Genetic Algorithms 90%
Feature Engineering 92%

Tools & Methods

Python / Scikit-learn 93%
Statistical Analysis 88%
Data Visualisation 85%
Academic Writing & Review 96%

Academic Profiles