Statistics on non-linear data.- Shape space.- Optimal Transport & Applications.- Statistical Manifold & Hessian Information Geometry.- Statistical Manifold and Hessian Information Geometry.- Monotone Embedding in Information Geometry.- Information Structure in Neuroscience.- Geometric Robotics and Tracking.- Geometric Mechanics and Robotics.- Stochastic Geometric Mechanics and Lie Group Thermodynamics.- Probability on Riemannian Manifolds.- Divergence Geometry.- Non-parametric Information Geometry.- Optimization on Manifold.- Computational Information Geometry.- Probability Density Estimation.- Session Geometry of Tensor-Valued Data.- Geodesic Methods with Constraints.- Applications of Distance Geometry.