Application of AI
Application of AI in Biotechnology, Materials Science, and other fields
My research focuses on the application of artificial intelligence (AI) to address complex challenges in biomedical and engineering domains. In the field of cancer therapeutics, I employ AI driven modeling and data analytics to identify and optimize the most effective nanofunctional formulations for targeted treatment across various cancer types, as well as to accelerate the design and development of advanced materials. Complementing this work, I also investigate AI applications for predictive maintenance in automotive systems, leveraging IoT sensor data and machine learning techniques to anticipate engine failures, improve reliability, and enhance operational efficiency. Collectively, my research aims to bridge AI, materials science, and intelligent systems to enable data-driven decision-making and next-generation technological solutions.
- Master’s thesis – Ms. Swetha N. V. – An AI Based predictive maintenance framework for automotive engines using IoT sensor data
- “Integration of IoT and AI in the Automotive Domain: A Review” – Submitted to Journal of Intelligent Manufacturing