Learning for Dynamical Systems
Research focuses on developing machine learning methods to model, analyze, and control complex dynamical systems across engineering and scientific applications.
Optimization & Decision-Making Under Uncertainty
We study algorithms for optimal decision-making in uncertain environments, combining machine learning, optimization, and probabilistic modeling.
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.
AI-Based Smart Engineering Solutions
This project demonstrates how artificial intelligence can be applied to develop intelligent engineering systems that analyze data, automate processes, and…
