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D-Index & Metrics

Computer Science

D-Index
30
Citations
4143
World Ranking
14058
National Ranking
380

Overview

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:

  • "Are Search Engines Biased? Detecting and Reducing Bias using Meta Search Engines," 2022, published in Electronic Commerce Research and Applications
  • "Generalized likelihood ratio method for stochastic models with uniform random numbers as inputs," 2024, published in European Journal of Operational Research
  • "Variance reduction for generalized likelihood ratio method by conditional Monte Carlo and randomized Quasi-Monte Carlo methods," 2022, published in Journal of Management Science and Engineering
  • "Sufficient Conditions for a Central Limit Theorem to Assess the Error of Randomized Quasi-Monte Carlo Methods," 2021, published in 2021 Winter Simulation Conference (WSC)
  • "Variance Reduction for Generalized Likelihood Ratio Method in Quantile Sensitivity Estimation," 2021, published in 2021 Winter Simulation Conference (WSC)

Frequent coauthors collaborating with Bruno Tuffin are:

  • Patrick Maillé
  • Pierre L'Ecuyer
  • Michael C. Fu
  • Jiaqiao Hu
  • Marvin K. Nakayama

Bruno Tuffin's research has been published in several recurring venues including:

  • 2021 Winter Simulation Conference (WSC)
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • Electronic Commerce Research and Applications
  • European Journal of Operational Research
  • Journal of Management Science and Engineering

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.

Best Publications

  • Rare Event Simulation using Monte Carlo Methods

    Gerardo Rubino;Bruno Tuffin

  • SPNP: Stochastic Petri Nets. Version 6.0

    Christophe Hirel;Bruno Tuffin;Kishor S. Trivedi

  • Logarithmic laws in service quality perception: where microeconomics meets psychophysics and quality of experience

    Peter Reichl;Bruno Tuffin;Raimund Schatz

  • Parallel TCP Sockets: Simple Model, Throughput and Validation

    E. Altman;D. Barman;B. Tuffin;M. Vojnovic

  • Multibid auctions for bandwidth allocation in communication networks

    P. Maille;B. Tuffin

  • On the use of low discrepancy sequences in Monte Carlo methods

    Bruno Tuffin

  • Rare events, splitting, and quasi-Monte Carlo

    Pierre L'Ecuyer;Valérie Demers;Bruno Tuffin

  • Asymptotic robustness of estimators in rare-event simulation

    Pierre L'Ecuyer;Jose H. Blanchet;Bruno Tuffin;Peter W. Glynn

  • Splitting for rare-event simulation

    Pierre L'Ecuyer;Valerie Demers;Bruno Tuffin

  • Telecommunication Network Economics: From Theory to Applications

    Patrick Maill;Bruno Tuffin

  • Markov chain importance sampling with applications to rare event probability estimation

    Zdravko I. Botev;Pierre L'Ecuyer;Bruno Tuffin

  • Static Network Reliability Estimation via Generalized Splitting

    Zdravko I. Botev;Pierre L'Ecuyer;Gerardo Rubino;Richard Simard

  • A mathematical model of the Paris metro pricing scheme for charging packet networks

    David Ros;Bruno Tuffin

  • Charging the Internet Without Bandwidth Reservation: An Overview and Bibliography of Mathematical Approaches

    Bruno Tuffin

  • Pricing the internet with multibid auctions

    Patrick Maillé;Bruno Tuffin

  • Approximate Zero-Variance Importance Sampling for Static Network Reliability Estimation

    Pierre L'Ecuyer;G. Rubino;S. Saggadi;B. Tuffin

  • Revisited Progressive Second Price Auction for Charging Telecommunication Networks

    Bruno Tuffin

  • A central limit theorem and improved error bounds for a hybrid-Monte Carlo sequence with applications in computational finance

    Giray Ökten;Bruno Tuffin;Vadim Burago

  • A fluid queue driven by a Markovian queue

    Bruno Sericola;Bruno Tuffin

  • Why VCG auctions can hardly be applied to the pricing of inter-domain and ad hoc networks

    P. Maille;B. Tuffin

  • Analysis of Price Competition in a Slotted Resource Allocation Game

    P. Maille;B. Tuffin

  • Splitting techniques in rare event simulation

    Pierre l'Ecuyer;François Le Gland;Pascal Lezaud;Bruno Tuffin

  • Markov Chain Importance Sampling with Applications to Rare Event Probability Estimation

    Pierre L'Ecuyer;Zdravko I. Botev;Bruno Tuffin

Frequent Co-Authors

Pierre L'Ecuyer
Pierre L'Ecuyer University of Montreal
Peter W. Glynn
Peter W. Glynn Stanford University
Gwendal Simon
Gwendal Simon Synamedia
Burkhard Stiller
Burkhard Stiller University of Zurich
Kishor S. Trivedi
Kishor S. Trivedi Duke University
Eitan Altman
Eitan Altman French Institute for Research in Computer Science and Automation - INRIA
Michael C. Fu
Michael C. Fu University of Maryland, College Park
Raimund Schatz
Raimund Schatz Austrian Institute of Technology
Raouf Boutaba
Raouf Boutaba University of Waterloo

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