Rate My Professor Vera Miloslavskaya

Dr. Miloslavskaya's research primarily focuses on the design and analysis of error-correcting codes that are essential for ensuring reliable data transmission over noisy communication channels. Without these sophisticated coding techniques, modern technologies—from mobile phones to deep-space communications, from solid-state drives to quantum computers—would be impossible. Modern error-correcting codes draw upon linear algebra, probability theory, graph theory, optimization theory, information theory, and artificial intelligence. Her publications focus on polar codes, though she has also worked on Reed-Solomon, BCH, and generalized concatenated codes, as well as multiple-input multiple-output (MIMO) detection. Key works include "Pareto-Optimal Frozen Set Design for Polar Codes with Dynamic Frozen Bits under Small-List SCL Decoding" (IEEE Access, 2025), "Frozen Set Design for Precoded Polar Codes" (IEEE Transactions on Communications, 2025), "Neural Network Based Adaptive Polar Coding" (2024), "Design of Compactly Specified Polar Codes with Dynamic Frozen Bits Based on Reinforcement Learning" (2024), and "Efficient Decoders for Short Block Length Codes in 6G URLLC" (IEEE Communications Magazine, 2023). She has authored 14 Q1 IEEE journal papers, 10 conference proceedings, and holds 6 US patents. Awards include IEEE Transactions on Communications Exemplary Reviewer (2022), Gold medal of the Russian Academy of Science (2012), St. Petersburg State Polytechnic University young scientist research award (2015), PhD student research award (2012), and Saint-Petersburg government research awards (2010, 2011, 2012, 2013). She teaches Internet of Things, computer science, and software engineering, and peer-reviews for IEEE Transactions on Communications, IEEE Communications Letters, IEEE Transactions on Information Theory, and IEEE Transactions on Signal Processing. Her current efforts advance polar code designs for future mobile communications.