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Fall 2020·Dr. Junaid Akram

Supervised Student Project

CompletedFall 2020BS Software Engineering

Malware Feature Extraction via Machine Learning Algorithm

Supervised research evaluating feature selection techniques for automated malware detection across PE executable headers.

Malware ClassificationFeature SelectionMachine Learning
Students

Eilsen Law Yi Sheng

Supervision

Dr. Junaid AkramLead Supervisor

Institution

Malware ResearchXiamen University Malaysia

Supervised Projects Portfolio

Related Research & Supervised Projects

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Vulnerability & Security

Robust Android Malware Detector

Completed supervised project implementing static disassembly analysis, APK opcode feature vectors, and ensemble machine learning classifiers for resilient Android malware detection.

FA25SE28 Student GroupView Case Study
AI & Machine Learning

HemaAI — Diagnostic Intelligence System

Completed biomedical machine learning project deploying deep convolutional neural networks to classify blood cell microscopic images and detect diagnostic anomalies automatically.

HemaAI Student TeamView Case Study
AI & Machine Learning

Cric-Craft — AI Cricket Performance Analysis System

Completed sports analytics platform combining computer vision for ball-tracking, player biomechanics assessment, and statistical match prediction.

SP25SE22 Student GroupView Case Study