The focus of this tag is on advancing interdisciplinary research through the integration of Artificial Intelligence (AI × X) across diverse domains such as energy systems, semiconductor technologies, IoT, fluid and storage systems, signal processing, and sustainable agriculture. It emphasizes the development of intelligent, data-driven models and optimization techniques to address complex real-world challenges. By combining domain knowledge with AI, the tag aims to enhance system efficiency, reliability, and scalability. The overall goal is to create impactful, sustainable solutions aligned with emerging technological and societal needs.
To advance interdisciplinary research by integrating Artificial Intelligence with diverse domains (AI * X) to develop intelligent solutions for real-world challenges and societal impact.
To integrate Artificial Intelligence (AI × X) across diverse domains to develop intelligent, data-driven solutions for real-world challenges, ensuring efficiency, sustainability, and societal impact.
Dr. Kiran P.
Assistant Professor
Dr. Mahadev J. Prabhu
Assistant Professor
Dr. Rinku Rani Das
Assistant Professor