Hardik Kothari

Hardik Kothari is a Lecturer at the Faculty of Informatics of the Università della Svizzera italiana (USI). His research focuses on developing efficient numerical methods for optimization problems in partial differential equations, computational mechanics, constrained optimization, and machine learning. He works at the East Campus in Lugano, specifically in Office D5.16 (Level P5).

His research interests emphasize advanced numerical techniques such as multigrid methods, preconditioning strategies, and their integration with machine learning approaches. Key areas include nonlinear optimization, phase-field modeling of fracture mechanics, and unfitted finite element methods for complex geometries.

Recent publications highlight contributions to physics-informed neural networks, domain decomposition preconditioning, and scalable solvers for large-scale systems. His work bridges computational mathematics with engineering applications, addressing challenges in computational mechanics and high-performance computing.

Kothari holds no explicitly mentioned scientific awards or grants but maintains active involvement in academic collaborations. His advising activities are not detailed here.