RESEARCH TOPICS

I focus in computational modeling and simulation of heterogeneous and anisotropic materials. My research involves the development and implementation of innovative methodologies to analyze materials and systems, facilitating a comprehensive understanding of their behavior under various conditions. 

I develop sophisticated mathematical models that accurately describe the complex behavior of materials under different loading scenarios. These models are pivotal in predicting and analyzing how materials respond to external forces and environmental factors, thereby informing the design and engineering of materials.

Bridging the gap between the behaviors of materials across various length scales is part of my research focus. This approach enables us to gain profound insights into the fundamental mechanisms governing material performance and tailor materials precisely for specific applications, spanning from the micro to macro levels.  

Understanding the failure mechanisms of materials and assessing their durability is a key aspect of my research. I'm committed to developing methods that allow us to predict material degradation and estimate remaining useful life, which significantly contributes to the design and construction of safe and reliable structures.

Investigate the energy absorption characteristics of materials and structures during impact events. Research in this area aims to enhance the crashworthiness of applications like automotive and aerospace structures, improving safety and performance.

I explore the integration of machine learning algorithms with computational mechanics techniques. This fusion accelerates material modeling, simulation, and optimization, revolutionizing design processes and leading to the discovery of novel material properties and behaviors.

My research extends beyond theoretical models into practical material characterization. I employ cutting-edge techniques to conduct in-depth, multi-scale characterization of composite materials. This comprehensive approach provides us with a holistic understanding of material behavior, which, in turn, facilitates the development of more accurate and robust material models.