I am an assistant professor at University at Buffalo at Materials Design and Innovation Department.
I have also a joined with the Mechanical and Aerospace Engineering Department and I am faculty at Computational Data Science and Engineering Program.
My research focuses on in silico studies of the morphological phenomena in engineered and natural heterogenous systems with application to energy, nanotechnology, biomedical engineering, and materials science.
Put simply, morphology is a spatial distribution of vastly different mediums, and is critical to the performance of many engineering systems, such as organic solar cells, batteries or drug delivery systems.
The ability to understand morphology and to link it with properties of devices (e.g. optical, mechanical, chemical, etc.) has a potential to change how such devices are designed, leading to faster, more economical and more environmentally friendly manufacturing.
Integration of computational thinking with experimental techniques makes a unique combination
that underpins scientific progress. Specifically, such a combination is indispensable to study nanoscale systems, where purely experimental approaches, although impressive, are still limited, due to the interplay between resolution and accessible domain size, and their complexity and prohibitive cost.
I have significant experience in scientific
computing - many years of prototyping and development of scientific
applications for computational physics, especially thermomechanics and materials science.
In my work, I combine efficient numerical methods with high performance computing techniques to tackle large scale problems arising in my application domain.