Palina Salanevich

Dr. Palina Salanevich is an Assistant Professor at Utrecht University's Mathematical Institute, specializing in Mathematical Modeling. Her work bridges harmonic and time-frequency analysis, geometric functional analysis, signal and image processing, and high dimensional probability theory.

Her research focuses on:

• Geometric properties of random frames and matrices, particularly Gabor frames
• Phase retrieval problems and their applications in ptychography and speech recognition
• Machine learning with randomization, especially Random Vector Functional Link networks
• Data processing using non-negative matrix factorization for audio and EEG signals
• Harmonic and time-frequency analysis on graphs

Dr. Salanevich's recent publications show a strong focus on phase retrieval with Gabor frames, random matrix theory applications in signal processing, and randomized approaches to machine learning. Her work consistently bridges theoretical mathematics with practical signal processing applications, particularly in developing stable and efficient algorithms for complex inverse problems.

Her notable scientific achievements include:

• NWO Veni grant (2021) for "Time-frequency structured measurements in phase retrieval: stability and reconstruction"
• Board member of the NDNS+ research cluster (2024)

Dr. Salanevich actively supervises students, including PhD student Olov Schavemaker (since December 2021), and offers various projects for Bachelor and Master students in areas related to mathematical modeling and signal processing. She has been involved in several collaborative research projects with institutions like CWI and researchers including Deanna Needell, Goetz E. Pfander, and others.

She is organizing the "Phase retrieval in mathematics and applications" workshop at the Lorentz Center in August 2024, demonstrating her leadership in her research community.