Projects
My projects span artificial intelligence, cybersecurity, explainable machine learning, intelligent network systems, healthcare analytics, and Internet of Things applications. They combine research innovation with practical implementation to address real-world challenges.
Research Projects
Explainable Anomaly Detection in Healthcare Systems
Development of interpretable deep learning models for cardiovascular disease prediction using explainable AI techniques.
Intrusion Detection in Intent-Driven Networks
Research project investigating CNN, LSTM, and hybrid deep learning architectures for intelligent intrusion detection.
Cybersecurity Projects
Android Banking Malware Analysis
Static and dynamic malware analysis using Frida and Ghidra to investigate malicious Android banking applications.
Packet Anomaly Detection System
Python-based network anomaly detection system for identifying suspicious network behaviour in packet captures.
AI & Data Science Projects
Student Retention Prediction Framework
Development of predictive models for student retention and inclusive assessment in higher education.
IoT Smart Irrigation System
IoT-enabled irrigation platform using NodeMCU and soil moisture sensors for intelligent agricultural automation.