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Fall 2020·Dr. Junaid Akram

Supervised Student Project

CompletedFall 2020BS Software Engineering

Analysis and Detection of Fraudulent Transactions Using PaySim Simulator

Supervised student project implementing machine learning algorithms to detect synthetic financial fraud signals generated by the PaySim simulator.

Fraud DetectionPaySim SimulatorMachine Learning
Students

Ouyang NingJing

Supervision

Dr. Junaid AkramLead Supervisor

Institution

Financial Fraud ResearchXiamen University Malaysia

Supervised Projects Portfolio

Related Research & Supervised Projects

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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
AI & Machine Learning

ApneaGuard AI — Sleep Apnea Detection System

Completed biomedical signal processing system utilizing audio sensor processing and machine learning to detect nocturnal sleep apnea events in real time.

SP25CS03 Student GroupView Case Study