Ovidiu Calin

• An Informal Introduction to Stochastic Calculus with Applications
• Deep Learning Architectures
• Geometric analysis on the Heisenberg group and its generalizations
• Geometric mechanics on Riemannian manifolds
• Geometric Mechanics on Riemannian Manifolds: Applications to Partial Differential Equations (Applied and Numerical Harmonic Analysis)
• Geometric Modeling in Probability and Statistics
• Heat Kernels for Elliptic and Sub-elliptic Operators
• Sub-Riemannian geometry
• Deterministic and Stochastic Topics in Computational Finance
• Informal Introduction to Stochastic Calculus with Applications
• The missing direction and differential geometry
• The missing direction and differential geometry on heisenberg manifolds