Igor Shevkunov

Igor Shevkunov is a Senior Research Fellow in the Computing Sciences department. Holding a Doctor of Philosophy degree from Saint-Petersburg State University (2012), his research focuses on computational imaging, phase retrieval, optical engineering, and machine learning applications in imaging systems. He has contributed to over 47 research outputs, including seminal works on lensless phase retrieval, hyperspectral imaging, and deep learning-enhanced microscopy.

His grants include projects from 2017–2018, though specifics are brief. Collaborations span global institutions, emphasizing computational methods in optical imaging and holography. Notable datasets include code for hyperspectral phase retrieval algorithms. His work bridges theoretical optics and practical applications in biomedical imaging and advanced optical systems design.

Key research areas include noise suppression in imaging, ADMM optimization for hyperspectral data, and meta-optics for miniaturized cameras. Despite no listed students, his contributions to imaging frameworks suggest active mentorship in collaborative projects.