AI Bias in Healthcare
A critical review exploring algorithmic bias in AI-driven healthcare systems. Assesses data, model design, and ethical implications based on recent academic studies.
AI Bias in Facial Recognition
Investigates how facial recognition systems can reinforce societal biases. Examines datasets, training algorithms, and policy implications through a multidisciplinary lens.
Cryptography and Blockchain
Explores the role of blockchain and cryptographic principles in enhancing network security. Includes a machine learning model for intrusion detection achieving 94% accuracy.
Global Power Plant Visualisation
Built an interactive dashboard to visualize global power plant data. Focused on emissions, energy types, and regional performance using cloud-based visualisation tools.
Research Areas of Interest
Artificial Intelligence
Machine learning, neural networks, and AI applications in various domains including healthcare and cybersecurity.
Cybersecurity
Network security, intrusion detection, cryptography, and privacy-preserving technologies.
Data Science
Big data analytics, data mining, statistical analysis, and predictive modeling techniques.
Cloud Computing
Distributed systems, cloud architectures, performance optimization, and scalability analysis.
Recent Publications Timeline
Cryptography and Blockchain
Research paper exploring blockchain and cryptographic approaches for securing networks and preventing cyberattacks.
Global Power Plant Visualisation
Technical report featuring an interactive dashboard to explore global energy trends, emissions, and plant types.
AI Bias in Healthcare
Literature review addressing bias in AI-assisted healthcare decision-making systems.
AI Bias in Facial Recognition
Examined the fairness and ethical challenges of AI-powered facial recognition systems in legal and public domains.
Chronic Disease Prediction
Data analysis project applying machine learning models to healthcare datasets for chronic illness prediction.