My research focuses on intelligent systems that analyze human-generated data, especially in social media environments. I develop machine learning and deep learning models for cyberbullying detection, sentiment analysis, behavioral analytics, and cybersecurity applications.
My doctoral work integrated TF-IDF, sentiment features, and LSTM-based architectures to classify cyberbullying content and examine psychological impacts on vulnerable groups. The broader goal is to connect AI methods with interpretable and practical outcomes for social and behavioral problems.
Current Research Direction
Digital Telepathy and Algorithmic Surveillance: a bilingual survey study examining user perceptions of algorithmic profiling, predictive recommendations, privacy, trust, autonomy, and behavioral influence on social media platforms.