Dr. R. Senthilkumar’s research interests lie at the intersection of Artificial Intelligence, Machine Learning, Deep Learning, Data Science, and the Internet of Things (IoT), focusing on innovative solutions for real-world challenges. His work explores AI-driven healthcare systems, air quality monitoring, and intelligent automation, with a strong emphasis on optimizing computational models for enhanced decision-making. He has contributed to IoT-based embedded systems, AI-enabled predictive analytics, and blockchain-integrated security solutions. His recent research delves into humanoid robotics for patient well-being, automated wildlife conservation using AIoT, and smart monitoring frameworks for environmental sustainability. Through his SCI-indexed publications, funded projects, and patents, he aims to bridge the gap between academic research and industrial applications. With a passion for interdisciplinary innovation, he actively collaborates on projects integrating AI, cloud computing, and big data analytics, striving to develop scalable, intelligent systems for healthcare, environmental conservation, and smart cities.