Computational Intelligence for Dynamical Systems Laboratory

This project focuses on developing efficient and cost-effective deep learning models for biomaterial discovery like antibody design. A key aspect of the project is curating...

Data-driven approaches for glucose prediction and control in diabetes, integrating wearable sensors, physiological data, and scientific machine learning to enhance real-time decision-making and optimize therapeutic...

Physics-Informed Machine Learning enhances battery, plastics, and biomolecule design by integrating data-driven models with physical principles to improve performance, durability, and sustainability in engineering applications.