معرفی
Michael Levitin is a Professor of Applied Mathematics at the Department of Mathematics and Statistics, University of Reading. He leads the Pure Mathematics Group and serves on the Departmental Research Committee. His research focuses on spectral theory, spectral geometry, and applications in mathematical physics, numerical analysis, and operator theory. Levitin holds a Candidate of Sciences (Ph.D.) from the Moscow Institute of Physics and Technology (1989), with a thesis on fluid-structure interactions. Prior to Reading, he held roles at Heriot-Watt University, Cardiff University, and Sussex University. His work includes foundational contributions to spectral asymptotics, non-self-adjoint operators, and geometric spectral theory. Key projects involve Pólya’s conjecture for eigenvalues, Steklov problems, and waveguide eigenmodes. He co-authored the textbook Topics in Spectral Geometry (2023) and frequently organizes international workshops, such as the 2026 Modern Applications of Microlocal Analysis conference honoring Dmitri Vassiliev. Levitin’s research integrates pure and applied mathematics, with applications in physics and engineering.
Education: BSc+MSc (Applied Mathematics, Moscow Institute of Physics and Technology, 1986), PhD (1989). Employment History: University of Reading (2010–present), Cardiff University (2007–2010), Heriot-Watt University (1993–2007), University of Sussex (1992–1993). Research Interests: Spectral geometry of Laplace/Dirac/Maxwell operators, eigenvalue inequalities, numerical methods, and operator pencils. Collaborations include notable mathematicians like Iosif Polterovich, David Sher, and Matteo Capoferri. Grants and recognitions include EPSRC funding for microlocal analysis applications. Teaching includes Real Analysis and Complex Analysis courses at Reading.
Publications span over 50 peer-reviewed papers in journals like Inventiones Mathematicae, SIAM Journal on Mathematical Analysis, and Journal of Spectral Theory. His work emphasizes interdisciplinary approaches, combining analytical techniques with numerical methods. Current projects include spectral asymptotics in linear elasticity and geometric wave propagators on manifolds.
