David Canino

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I got my degree in Computer Science (equivalent to bachelor+master degree, mark: 110/110 magna cum laude) from the Department of Computer Science, Bioengineering, Robotics, and Information Systems (DIBRIS), University of Genova, Italy on October 2007. I started my PhD degree in Computer Science in 2008 in the University of Genova, advised by Professor Leila De Floriani. I received my PhD degree in 2012. I spent two years (from April 2012 to April 2014) as Research Fellow at DIBRIS. My research interests are in geometric modeling, geometric processing, computational topology, computer graphics, topological and structural representations of digital shapes, multi-resolution modeling, fast ..

topological data structures simplicial complexes topology structural model computer math slide conference media science slides mathematics representations results dimension-indepent decomposition components phd defence non-manifold thesis template programming c++ software rapid prototyping cell complexes

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David Canino

Présentations

Slides of my Master's Thesis

A Compact Representation for Topological Decompositions of Non-Manifold Shapes

A Decomposition-based Approach to Modeling and Understanding Arbitrary Shapes

An Extensible Framework for Modeling Simplicial Complexes

A Dimension-Independent and Extensible Framework for Huge Geometric Models

Representing Simplicial Complexes with Mangroves

Tools for Modeling and Analysis of Non-manifold Shapes

Dimension-Independent Data Structures for Simplicial Complexes

Canino d2016stag slides

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Slides of my Master's Thesis

Introduction to Apache Kafka and Confluent... and why they matter

The joy of computer graphics programming

The dual geometry of Shannon information

Canino d2016stag slides

NVIDIA CES 2016 Press Conference

Optimal Transport for a Computer Programmer's Point of View

Traitement des données massives (INF442, A8)

PHP and FastCGI Performance Optimizations

Computational Information Geometry for Machine Learning

Dimension-Independent Data Structures for Simplicial Complexes

The Future of Presentations: Top Trends for Communicators

short_intro_to_CMake_(inria_REVES_team)

Watson: An Academic's Perspective

Voronoi diagrams in information geometry: Statistical Voronoi diagrams and their applications