T Harini

KPR Institute of Engineering and Technology

Papers

Total Citations

H-Index

About

T Harini is a researcher at the forefront of applied artificial intelligence, with a focused interest in intelligent systems for real-world safety and automation. Her key research areas include AI-driven driver state monitoring, human–machine interaction, and the deployment of machine learning in safety-critical environments. Harini’s most notable contribution is her pioneering work on the "Driver State Monitoring System Using AI" (2023), which has already garnered 3 citations—a strong early indicator of its relevance in the rapidly evolving field of intelligent transportation. This system leverages advanced AI algorithms to detect driver fatigue, distraction, and impairment, aiming to reduce road accidents and enhance vehicular safety. By integrating real-time sensor data with adaptive machine learning models, her work addresses a pressing global need for smarter, more responsive driver-assistance technologies. Beyond this flagship study, Harini continues to explore how intelligent robotic systems can augment human capabilities rather than replace them, emphasizing ethical and practical design principles. Her research is particularly valuable for students and engineers interested in the intersection of AI, human factors, and safety engineering, offering a clear pathway from theoretical AI to tangible, life-saving applications.