Geometric problems are central in many areas of science and
engineering. Computational geometry, the study of combinatorial and
algorithmic problems in a geometric setting, has tremendous practical
applications in areas such as computer graphics, computer vision and
imaging, scientific visualization, geographic information systems,...
Traditionally, the scope of computational geometry research has been
limited to manipulation of geometric elements in the Euclidean space
R^{d}.
Due to the recent emergence of standardized software libraries, in particular the Computational Geometry Algorithms Library CGAL, developed in the framework of an Open Source Project, the sofar mostly theoretical results developed in computational geometry are being used and extended for practical use like never before. 

Workshop on Computational geometry in nonEuclidean spaces, INRIA, LORIA, Nancy, August 2628, 2015.
Workshop on Geometric Structures with Symmetry and Periodicity, Kyoto University, Japan, June 89, 2014. OrbiCG/Triangles Workshop on Computational Geometry, INRIA Sophia Antipolis  Méditerranée, 8  10 Dec 2010 Subdivide and Tile: Triangulating spaces for understanding the world, Lorentz Center, Leiden, The Netherlands, 16  20 Nov 2009 CGAL Prospective Workshop on Geometric Computing in Periodic Spaces, INRIA Sophia Antipolis  Méditerranée, 20 October 2008
This work was partially supported by

(image by Manuel Caroli  larger version) 
Manuel Caroli's PhD
thesis
discusses triangulations of different topological spaces for
given point sets. We propose both definitions and algorithms
for different classes of spaces and provide an implementation
for the specific case of the threedimensional flat torus.
The work is originally motivated by the need for software computing threedimensional periodic Delaunay triangulations in numerous domains including astronomy, material engineering, biomedical computing, fluid dynamics etc. Periodic triangulations can be understood as triangulations of the flat torus. We provide a definition and develop an efficient incremental algorithm to compute Delaunay triangulations of the flat torus [ESA'09]. The algorithm is a modification of the incremental algorithm for computing Delaunay triangulations in R^{d}. Unlike previous work on periodic triangulations we avoid maintaining several periodic copies of the input point set whenever possible. Also the output of our algorithm is guaranteed to always be a triangulation of the flat torus. An implementation of our algorithm that has been made available to a broad public as a part of CGAL. This package is already used for instance by researchers in astronomy [astro, orbicg]. See also the [video  The Sticky Geometry of the Cosmic Web ]. We generalize the work on the flat torus onto a more general class of flat orbit spaces [SoCG'11, DCG'16]. 
Work is in progress to provide meshings of periodic
surfaces and periodic volumes in CGAL, using the results
obtained on 3D periodic triangulations.
This will have applications in various fields including materials engineering and nanostructures. 
(work started during the internship of Vissarion Fisikopoulos) 
(work started during the internship of Mikhail Bogdanov) 
In his PhD
thesis, Mikhail Bogdanov
elaborated on the preliminary study done by Manuel
Caroli (see above), on triangulations in hyperbolic manifolds.
We have proopsed a practical algorithm to compute Delaunay
triangulations in the hyperbolic plane, represented as the
Poincaré disk (see picture)
[JoCG'14,
SoCG'13].
The
space of circles
gives some mathematical background for this work.
The work is expected to have applications in various fields, see eg. [GFF'11, CF'09, FCF'10, RFG'10]. We have proved results on cycles in the Delaunay triangulation of closed hyperbolic manifolds [SoCG'16]. In his PhD thesis work, Iordan Iordanov has implemented the computation of Delaunay triangulations of the Bolza surface [SoCG'17]. The code is publicly accessible and will be released in CGAL as soon as possible. 
In [SEA'10]
we propose two approaches for computing the Delaunay
triangulation of points on a sphere, or of rounded points close
to a sphere, both based on the classic incremental algorithm
initially designed for the
plane.
We implemented the two approaches in a fully robust way,
building upon existing generic algorithms provided by the CGAL
library. The efficiency and scalability of the method is shown
by benchmarks. We are targetting at a submission to CGAL asap.

We considered the problem of computing a triangulation of the real
projective plane P^{2}, given a finite point set S as input.
We prove that a triangulation of P^{2} always exists if at
least six points in S are in general position, i.e., no three of
them are collinear. We also design an algorithm for triangulating
P^{2} if this necessary condition holds. As far as we know,
this is the first computational result on the real projective
plane [MACIS'07].
(work done during the internship of
Mridul Aanjaneya)