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
Matthew Roughan mainly focuses on Computer network, Traffic generation model, Internet traffic, Traffic engineering and Internet protocol suite. His study in The Internet extends to Computer network with its themes. His research integrates issues of Network traffic control, Distribution, Theoretical computer science and Topology in his study of Traffic generation model.
He interconnects Anomaly detection, Data mining, Missing data, Matrix decomposition and Compressed sensing in the investigation of issues within Internet traffic. His studies deal with areas such as Simple Network Management Protocol and Mathematical optimization as well as Traffic engineering. In his research, Burstiness is intimately related to Distributed computing, which falls under the overarching field of Internet protocol suite.
His primary areas of study are Computer network, The Internet, Data mining, Distributed computing and Computer security. His is involved in several facets of Computer network study, as is seen by his studies on Traffic engineering, Simple Network Management Protocol, Routing, Network topology and Network traffic control. In his study, Internet protocol suite, Mathematical optimization and Internet traffic is strongly linked to Traffic generation model, which falls under the umbrella field of Simple Network Management Protocol.
In his study, Complex network is inextricably linked to Data science, which falls within the broad field of The Internet. His work on Anomaly detection as part of general Data mining research is often related to Set, thus linking different fields of science. His research investigates the connection with Distributed computing and areas like Router which intersect with concerns in Border Gateway Protocol.
The scientist’s investigation covers issues in Computer security, Social network, Data mining, Information cascade and Distributed computing. In his research on the topic of Computer security, Automation, Network topology and Telecommunications network is strongly related with SCADA. His biological study spans a wide range of topics, including Entropy, Traffic engineering and Statistical model.
His Social network study incorporates themes from Field, Machine learning and Artificial intelligence. His Data mining research includes themes of Dissemination, Scalability, Enhanced Data Rates for GSM Evolution and Sample. His studies in Distributed computing integrate themes in fields like Consistency and Traffic trace.
His primary scientific interests are in Computer security, Formal specification, Critical infrastructure, Operating environment and Algorithm. His Computer security research integrates issues from Network topology and SCADA. Matthew Roughan merges Network topology with Best practice in his study.
His Formal specification research incorporates elements of Network behavior, Traffic trace and Acceptance testing. His work deals with themes such as Consistency and Distributed computing, which intersect with Critical infrastructure. His Approximation algorithm study in the realm of Algorithm connects with subjects such as Potts model.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The Internet Topology Zoo
S. Knight;H. X. Nguyen;N. Falkner;R. Bowden.
IEEE Journal on Selected Areas in Communications (2011)
Fast accurate computation of large-scale IP traffic matrices from link loads
Yin Zhang;Matthew Roughan;Nick Duffield;Albert Greenberg.
measurement and modeling of computer systems (2003)
Class-of-service mapping for QoS: a statistical signature-based approach to IP traffic classification
Matthew Roughan;Subhabrata Sen;Oliver Spatscheck;Nick Duffield.
internet measurement conference (2004)
The "robust yet fragile" nature of the Internet
John C. Doyle;David L. Alderson;Lun Li;Steven Low.
Proceedings of the National Academy of Sciences of the United States of America (2005)
An information-theoretic approach to traffic matrix estimation
Yin Zhang;Matthew Roughan;Carsten Lund;David Donoho.
acm special interest group on data communication (2003)
Spatio-temporal compressive sensing and internet traffic matrices
Yin Zhang;Matthew Roughan;Walter Willinger;Lili Qiu.
acm special interest group on data communication (2009)
Experience in measuring internet backbone traffic variability: Models metrics, measurements and meaning
Matthew Roughan;Albert Greenberg;Charles Kalmanek;Michael Rumsewicz.
Teletraffic Science and Engineering (2003)
Network anomography
Yin Zhang;Zihui Ge;Albert Greenberg;Matthew Roughan.
internet measurement conference (2005)
Experience in measuring backbone traffic variability: models, metrics, measurements and meaning
Matthew Roughan;Albert Greenberg;Charles Kalmanek;Michael Rumsewicz.
acm special interest group on data communication (2002)
Building an AS-topology model that captures route diversity
Wolfgang Mühlbauer;Anja Feldmann;Olaf Maennel;Matthew Roughan.
acm special interest group on data communication (2006)
Profile was last updated on December 6th, 2021.
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