World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
10486
World Ranking
8658
National Ranking
264

Research.com Recognitions

  • 2019 - IEEE Fellow For contributions to Internet measurement and analysis
  • 2018 - ACM Fellow For contributions to Internet measurement and analysis, with applications to network engineering

Overview

Matthew Roughan is affiliated with the University of Adelaide in Australia. Their research spans the broad field of computer science, with a significant focus on artificial intelligence, statistical and nonlinear physics, economics and econometrics, computer networks and communications, and signal processing.

Their work addresses various topics including complex systems and time series analysis, complex network analysis techniques, opinion dynamics and social influence, financial risk and volatility modeling, anomaly detection techniques and applications, privacy-preserving technologies in data, and time series analysis and forecasting.

Matthew Roughan has published extensively, with a total of 56 publications in computer science. They have contributed to multiple frequent venues, notably:

  • arXiv (Cornell University)
  • IEEE Transactions on Dependable and Secure Computing
  • PLoS ONE
  • IEEE Access
  • IEEE Transactions on Signal and Information Processing over Networks

Recent papers include:

  • "A Review of Shannon and Differential Entropy Rate Estimation," 2021, published in Entropy
  • "Case Report: Unexpected Remission From Extreme and Enduring Bulimia Nervosa With Repeated Ketamine Assisted Psychotherapy," 2021, published in Frontiers in Psychiatry
  • "Impact of the COVID-19 pandemic on South Australia's emergency departments: evidence from two lockdowns," 2021, published in Australian Health Review
  • "Verifiable Policy-Defined Networking Using Metagraphs," 2020, published in IEEE Transactions on Dependable and Secure Computing
  • "Verifying and Monitoring IoTs Network Behavior Using MUD Profiles," 2020, published in IEEE Transactions on Dependable and Secure Computing

They have collaborated frequently with a number of researchers including Lewis Mitchell, Andrew Feutrill, David Shorten, Samudra Herath, and Gary Glonek.

Matthew Roughan has been recognized by major professional organizations. They were named an IEEE Fellow in 2019 for contributions to Internet measurement and analysis. The year prior, in 2018, they were named an ACM Fellow for contributions to Internet measurement and analysis, with applications to network engineering.

Best Publications

  • The Internet Topology Zoo

    S. Knight;H. X. Nguyen;N. Falkner;R. Bowden

  • Class-of-service mapping for QoS: a statistical signature-based approach to IP traffic classification

    Matthew Roughan;Subhabrata Sen;Oliver Spatscheck;Nick Duffield

  • Fast accurate computation of large-scale IP traffic matrices from link loads

    Yin Zhang;Matthew Roughan;Nick Duffield;Albert Greenberg

  • The "robust yet fragile" nature of the Internet

    John C. Doyle;David L. Alderson;Lun Li;Steven Low

  • Spatio-temporal compressive sensing and internet traffic matrices

    Yin Zhang;Matthew Roughan;Walter Willinger;Lili Qiu

  • An information-theoretic approach to traffic matrix estimation

    Yin Zhang;Matthew Roughan;Carsten Lund;David Donoho

  • Network anomography

    Yin Zhang;Zihui Ge;Albert Greenberg;Matthew Roughan

  • Experience in measuring internet backbone traffic variability: Models metrics, measurements and meaning

    Matthew Roughan;Albert Greenberg;Charles Kalmanek;Michael Rumsewicz

  • Spatio-Temporal Compressive Sensing and Internet Traffic Matrices (Extended Version)

    Matthew Roughan;Yin Zhang;Walter Willinger;Lili Qiu

  • Experience in measuring backbone traffic variability: models, metrics, measurements and meaning

    Matthew Roughan;Albert Greenberg;Charles Kalmanek;Michael Rumsewicz

  • Building an AS-topology model that captures route diversity

    Wolfgang Mühlbauer;Anja Feldmann;Olaf Maennel;Matthew Roughan

  • Traffic engineering with estimated traffic matrices

    Matthew Roughan;Mikkel Thorup;Yin Zhang

  • Self-similar traffic and network dynamics

    A. Erramilli;M. Roughan;D. Veitch;W. Willinger

  • Simplifying the synthesis of internet traffic matrices

    Matthew Roughan

  • 10 Lessons from 10 Years of Measuring and Modeling the Internet's Autonomous Systems

    M. Roughan;W. Willinger;O. Maennel;D. Perouli

  • Estimating point-to-point and point-to-multipoint traffic matrices: an information-theoretic approach

    Yin Zhang;Matthew Roughan;Carsten Lund;David L. Donoho

  • BGP beacons

    Z. Morley Mao;Randy Bush;Timothy G. Griffin;Matthew Roughan

  • Real-time estimation of the parameters of long-range dependence

    Matthew Roughan;Darryl Veitch;Patrice Abry

  • Internet optometry: assessing the broken glasses in internet reachability

    Randy Bush;Olaf Maennel;Matthew Roughan;Steve Uhlig

  • Internet Traffic Matrices: A Primer

    Paul Tune;Matthew Roughan

  • Public review for the devil and packet trace anonymization

    Matt Roughan

Frequent Co-Authors

Yin Zhang
Yin Zhang The University of Texas at Austin
Albert Greenberg
Albert Greenberg Microsoft (United States)
Walter Willinger
Walter Willinger NIKSUN, Inc.
Nick Duffield
Nick Duffield Texas A&M University
Darryl Veitch
Darryl Veitch University of Technology Sydney
Subhabrata Sen
Subhabrata Sen AT&T (United States)
Steve Uhlig
Steve Uhlig Queen Mary University of London
Timothy G. Griffin
Timothy G. Griffin University of Cambridge
Vijay Sivaraman
Vijay Sivaraman University of New South Wales
Jennifer Rexford
Jennifer Rexford Princeton University

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