Bruno Tuffin is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their research primarily spans the fields of Mathematics and Decision Sciences, with particular focus on Statistics and Probability, Numerical Analysis, Management Science and Operations Research, Computer Networks and Communications, and Media Technology.
Their work covers several main topics including Mathematical Approximation and Integration, Statistical Methods and Inference, Markov Chains and Monte Carlo Methods, ICT Impact and Policies, Probabilistic and Robust Engineering Design, Digital Platforms and Economics, and Probability and Risk Models.
Recent papers authored or coauthored by Bruno Tuffin include the following:
Frequent coauthors collaborating with Bruno Tuffin are:
Bruno Tuffin's research has been published in several recurring venues including:
In addition to journal articles and conference proceedings, Bruno Tuffin has authored books with noted academic publishers. Titles include "Economics of Grids, Clouds, Systems, and Services" (2021) and the forthcoming "Network Games, Artificial Intelligence, Control and Optimization" to be published in 2025, both with Springer Science+Business Media. Another book, "Monte Carlo and Quasi-Monte Carlo Methods" (2020), was published by Springer International Publishing. Additionally, they contributed the "Preface to Economics of Grids, Clouds, Systems, and Services" (2020) published by White Rose University Consortium.
Gerardo Rubino;Bruno Tuffin
Christophe Hirel;Bruno Tuffin;Kishor S. Trivedi
Peter Reichl;Bruno Tuffin;Raimund Schatz
E. Altman;D. Barman;B. Tuffin;M. Vojnovic
P. Maille;B. Tuffin
Bruno Tuffin
Pierre L'Ecuyer;Valérie Demers;Bruno Tuffin
Pierre L'Ecuyer;Jose H. Blanchet;Bruno Tuffin;Peter W. Glynn
Pierre L'Ecuyer;Valerie Demers;Bruno Tuffin
Patrick Maill;Bruno Tuffin
Zdravko I. Botev;Pierre L'Ecuyer;Bruno Tuffin
Zdravko I. Botev;Pierre L'Ecuyer;Gerardo Rubino;Richard Simard
David Ros;Bruno Tuffin
Bruno Tuffin
Patrick Maillé;Bruno Tuffin
Pierre L'Ecuyer;G. Rubino;S. Saggadi;B. Tuffin
Bruno Tuffin
Giray Ökten;Bruno Tuffin;Vadim Burago
Bruno Sericola;Bruno Tuffin
P. Maille;B. Tuffin
P. Maille;B. Tuffin
Pierre l'Ecuyer;François Le Gland;Pascal Lezaud;Bruno Tuffin
Pierre L'Ecuyer;Zdravko I. Botev;Bruno Tuffin
If you think any of the details on this page are incorrect, let us know.
Exploring online education can open up flexible and affordable routes to a computer science career. Many students consider the most affordable online PhD programs to continue advanced studies at a lower cost while balancing work or personal commitments. For those looking to quickly advance in educational leadership, exploring the cheapest EdD options can be a strategic step, offering accelerated pathways to a doctorate.
If you're just starting your academic journey, an accelerated associate's degree online can provide foundational knowledge in a short time, sometimes within as little as six months. Alternatively, for individuals interested in the business side of technology, the online business degree cost remains a key consideration, as choosing an affordable program can maximize the return on your investment.
Each of these pathways can support different career goals, helping students tailor their education to fit personal timelines, ambitions, and financial situations.
French Institute for Research in Computer Science and Automation - INRIA
Publications: 11
French Institute for Research in Computer Science and Automation - INRIA
Publications: 8
Spanish National Research Council
University of Notre Dame
University of Sydney
University of California, Davis
Universidade Federal de Santa Maria
University of California, Davis
University of Aberdeen
University of Oregon
University of Washington
University of Bonn
Centre national de la recherche scientifique, CNRS
Megvii
Wellesley College
Johns Hopkins University
Harbin Institute of Technology
Samsung Medical Center