Dr. Ria Kanjilal specializes in artificial intelligence and machine learning, with applications in IoT and healthcare. Her work bridges the gap between AI-driven sensor analytics and healthcare applications, with particular expertise in deep learning and statistical modeling. She is also interested in emerging trends, including data-driven analysis in human activity recognition, evolutionary genomics, and the design of motion controllers for the autonomous navigation of robots.

Dr. Ria Kanjilal conducts interdisciplinary research in bio-inspired signal processing, IoT, and healthcare, leveraging artificial intelligence, machine learning, and deep learning to advance data-driven solutions and intelligent systems. Her work focuses on analyzing complex biological and physiological signals, optimizing smart healthcare technologies, and enhancing human-computer interactions. She specializes in developing advanced deep learning and statistical models to improve decision-making and optimize sensor-based systems. Dr. Kanjilal has been involved in high-impact research projects and has published multiple peer-reviewed research papers in top international journals and conferences.