Julia Dobrosotskaya

Julia Dobrosotskaya is an Associate Professor at the Department of Mathematics, Applied Mathematics, and Statistics, College of Arts and Sciences, Case Western Reserve University. Her research focuses on harmonic analysis, partial differential equations (PDE), variational methods, sparse representations, and signal/image processing. She specializes in developing mathematical models for image analysis with applications in biomedical imaging, remote sensing, and computational vision.

Her work integrates theoretical mathematics with practical challenges in data science, emphasizing multiscale analysis, wavelet-based techniques, and variational calculus. Notable research includes modeling retinal photo-bleaching kinetics, hyperspectral image classification, and PDE-free variational methods for image segmentation.

Her publications span applied mathematics, signal processing, and biomedical imaging, addressing topics from optical flow velocimetry to data-adaptive multiscale representations. She collaborates across disciplines, bridging pure mathematics with engineering and medical applications.