Mikhail Gilman

Mikhail Gilman is an Associate Research Professor in the Department of Mathematics at North Carolina State University (NCSU), based in SAS Hall 3210. He serves as a core faculty member in NCSU's Radar Imaging research group, focusing on advanced radar technologies and their mathematical foundations.

Dr. Gilman earned his PhD from the State Institute of Physical and Technical Problems in Russia in 1998. His academic journey spans interdisciplinary research connecting applied mathematics, electromagnetics, and remote sensing.

His research centers on radar imaging, particularly synthetic aperture radar (SAR) systems. Key interests include mitigating phase distortions from turbulent media propagation (especially ionospheric effects), developing novel radar target models, and innovating change detection paradigms in SAR imagery. He integrates analytical methods, computational simulations, and machine learning to solve complex problems in transionospheric SAR imaging, with significant contributions to autofocus algorithms and ionospheric distortion correction. His work bridges theoretical mathematics and practical remote sensing applications.

Recent publications reveal a concentrated focus on transionospheric SAR challenges, with 10 of the last 15 papers addressing ionospheric effects, autofocus techniques, and machine learning applications. His 2017 book Transionospheric Synthetic Aperture Imaging (Birkhäuser) established foundational frameworks, receiving positive reviews in SIAM Review and AMS MathSciNet.

Dr. Gilman actively leads the Radar Imaging group at NCSU, which develops analytical tools and machine learning approaches for radar technology advancement. The group's work, detailed in their research flyer, emphasizes practical solutions for real-world remote sensing challenges.