Researcher Profile

  • Professor

  • Data science, networks, stochastic modelling

  • Data science, networks, stochastic modelling

  • The one comparing narrative social network extraction techniques, Michelle Edwards, Jonathan Tuke, Matthew Roughan and Lewis Mitchell, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM-CRV), December 2020. [ARXIV]

    Life still goes on: Analysing Australian WW1 Diaries through Distant Reading, Ashley Dennis-Henderson, Matthew Roughan, Lewis Mitchell and Jonathan Tuke, 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL), Dec 12-13, 2020

    Landmarks-based Blocking Method For Large Scale Entity Resolution, Samudra Herath, Matthew Roughan and Garique Glonek, Student poster in the 7th IEEE International Conference on Data Science and Advanced Analytics (DSAA2020), Sydney, 6-9 Oct, 2020

    Mathematical Reconciliation of Medical Privacy Policies, D Ranathunga, M Roughan, H Nguyen, ACM Transactions on Management Information Systems, Vol.12, No.1, doi: 10.1145/3397520, April, 2020. [PDF]

    Video Assessment Tasks in Tertiary Education: Practice and Experience in STEM, Matthew Roughan, ACM Sigcomm Education Workshop and Online Discussion, 2020. [Preprint]

    A Queueing Solution to Reduce Delay in Processing of Disclosed Vulnerabilities, Andrew Feutrill, Matthew Roughan, Joshua Ross and Yuval Yarom, The Second IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (IEEE TPS), Pittsburg, Dec 1-3, 2020. [PDF]

    BGP Beacons Network Tomography and Bayesian Computation to Locate Route Flap Damping, Caitlin Gray, Clemens Mosig, Randy Bush, Cristel Pelsser, Matthew Roughan, Thomas C. Schmidt, Matthias Wählisch, Proc. of ACM Internet Measurement Conference (IMC), New York: ACM, October 2020.

  • Social Network Analysis And Network Disruption, Online Behaviour and Profiling, Social Influence – Micro, Meso & Macro Levels, Disinformation and Social Cohesion, Radicalisation and Extremism, Insider Threats, The Changing Character Of Competition and Conflict in the Indo-Pacific, Social, Cognitive, Ethical and Legal Aspects Of Big Data And AIML


  • Twitter Handle     N/A
    Email Address matthew.roughan@adelaide.edu.au

 

Matthew Roughan

Overview

Prof Matthew Roughan (FACM, FIEEE) obtained his PhD in Applied Mathematics from the University of Adelaide in 1994. Since then he has worked for nearly 30 years in both industry and academia on network data science problems. He has worked for telecommunications giants such as Ericsson and at AT&T analysing Internet data. Most recently, he has returned to work at his alma mater, the University of Adelaide in South Australia. He is author of over a 150 refereed publications, half a dozen patents, and has managed millions of dollar of research projects. His coauthors and he won the 2013 ACM Sigmetrics "Test of Time" award. In 2018 he was elected to be a Fellow of the ACM for his work on Internet measurement, and in 2019 a Fellow of the IEEE.