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Explore mixed hard Lefschetz theorem and Hodge-Riemann relations in smooth valuations, generalizing Alexandrov-Fenchel inequality for convex bodies using operator perturbation theory.
Explores the Rademacher projection in non-symmetric convex bodies, proving sharpness of bounds and discussing implications for Banach-Mazur distances and mean zero functions.
Explore random tessellation forests in machine learning, overcoming dimensionality challenges through innovative partitioning methods and directional distributions for improved statistical performance.
Explore geometric functionals of Boolean models in hyperbolic space, examining volume intersections, asymptotic behaviors, and statistical properties, revealing unique phenomena compared to Euclidean counterparts.
Explore Brunn-Minkowski inequalities through the lens of entropy concavity, gaining insights into geometric and functional analysis concepts.
Explores mixed surface area measures and Kubota-type formulas for convex functions, addressing Schneider's conjecture and applications to Monge-Ampère measures.
Explores large deviations principle for convex hull areas in planar random walks, analyzing optimal trajectories and solving the Euler-Lagrange equation for various rate functions.
Explore two-sided estimates for operator norms of random matrices, discussing proofs, examples, and open problems in this mathematical analysis of iid entries and their implications.
Explore central limit theorems for volumes of random sections in high-dimensional geometry, with insights on open questions and recent research developments.
Explore the discrete analogue of Aleksandrov's projection theorem for convex lattice polygons, examining counterexamples and their implications in Z^2.
Explore concentration inequalities for Poisson U-statistics, their optimality, and applications in stochastic geometry models. Gain insights into Poisson functionals and their significance in geometric analysis.
Explore large deviations in sub-Riemannian random walks on Carnot groups, focusing on rate functions, hypoelliptic Brownian motions, and comparisons between standard and Heisenberg group Brownian motions.
Explores extension complexity of random polytopes, discussing results for fixed-dimension convex hulls of random points on unit sphere or ball. Joint work with Kwan and Zhao.
Explore Boolean models in hyperbolic space, examining geometric functionals and asymptotic formulas for expectations, variances, and covariances, with insights into new phenomena compared to Euclidean cases.
Explore fluctuations in linear eigenvalue statistics of sample covariance matrices with tensor product data, comparing normal and uniform distributions on unit sphere.
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