Learning for Dynamical Systems
Research focuses on developing machine learning methods to model, analyze, and control complex dynamical systems across engineering and scientific applications.
Multimodal Sensing, Perception & Representation Learning
This research area explores how machines learn from multiple sensory modalities such as vision, audio, and sensor data to build…
Generative Models for Simulation & Design
Research focuses on generative AI models that enable simulation, design automation, and creative problem-solving in engineering and scientific domains.
AI Applications in Healthcare Engineering
This project explores how artificial intelligence can support healthcare systems through predictive analytics, medical data analysis, and intelligent diagnostic tools.
