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.
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.