Michael A. Álvarez-Navarro

Research Expertise

Michael Alvarez is currently an Assistant Professor in the Computer Science Department at the University of Puerto Rico, Río Piedras. His research interests include computational imaging, computer vision, and biomedical applications—particularly light propagation modeling for Smart Health initiatives—primarily using machine learning and deep learning algorithms. His work focuses on estimating properties and enhancing features in multidimensional signals. Additionally, he is passionate about numerical analysis and partial differential equations. He has experience implementing Finite Difference Time Domain (FDTD) methods for Maxwell’s equations and has studied the fractional diffusion equation using the Local Discontinuous Galerkin method and finite element theory. His research involves developing strategies to integrate physics-based simulations with real-world measurements to achieve more accurate and robust modeling.