Shayan Mousavi is a Materials Science and Engineering Ph.D. student at McMaster University. He holds a B.Sc. degree in Materials Science and Engineering from the Sharif University of Technology with a secondary concentration in Theoretical Mathematics. In his research, he investigates the photonic and optoelectronic properties of materials using various electron microscopy and spectroscopy techniques conducted at the Canadian center for electron microscopy (CCEM) and the Canadian light sources synchrotron facility (CLS).
He implements a wide range of spectral analysis methods including machine learning- and deep learning-based techniques to refine, extract, and generate information from spectral data.