Modeling and simulation technologies are extensively applied across industries, including engineering, healthcare, and manufacturing. Tools like COMSOL Multiphysics and MATLAB enable the simulation of complex physical phenomena and system dynamics, empowering efficient design and optimization. My expertise includes working with techniques like Model Order Reduction (MOR), such as Balanced Truncation, Projection onto the Dominant Eigen Space of Gramians, and Rational Krylov Space methods. I also conducted my reduction on a certain frequency.

In my research, I have modeled sophisticated systems, including a Laser Heating Wafer model, a Biventricular Cardiac model, and an Inductive Heating model. These studies involved leveraging COMSOL Multiphysics for detailed simulations and MATLAB for computational analysis. By integrating MOR methods, I reduced computational complexity while preserving model accuracy, facilitating practical applications in real-world systems. This work demonstrates the potential of simulation-driven innovation to address challenges in cutting-edge technology and healthcare solutions.