Texas A&M University College Station - Computer Engineering
Bryan/College Station
Texas Area
Executive Board Member
Texas A&M Center for Geospatial Science
Applications & Technology (GEOSAT)
Texas A&M University
Talaia Networks
Talaia Networks
Associate Member
Oxford-Man Institute of Quantitative Finance
AT&T Labs Research
ACM
Association for Computing Machinery
Rutgers University / DIMACS
Dublin Institute for Advanced Studies
Florham Park
NJ
Distinguished Member of Technical Staff
AT&T Fellow
AT&T Labs Research
Bryan/College Station
Texas Area
Director
Texas A&M Institute of Data Science
Texas A&M University
Rutgers University / DIMACS
Texas A&M University
College Station
TX
Tenured full professor in Department of Electrical and Computer Engineering.\nCourtesy appointment with Computer Science and Engineering\n\n
Professor
College Station
TX
TEES Research Professor
Texas A&M University
Dublin City University
Chief Editor for Big Data Networks
Frontiers in ICT
Frontiers
various
various
IET Fellow
The Institution of Engineering and Technology
ACM SIGMETRICS Test of Time Award 2013
For the paper \"Fast Accurate Computation of Large-Scale IP Traffic Matrices from Link Loads\" (2003)
awarded jointly with Albert Greenberg
Matt Roughan and Yin Zhang. This award is given each year to a previous conference paper still making an impact 10-12 years after publication. Citation: “The paper presented a novel
remarkably fast
and accurate method for practical and rapid inference of traffic matrices in IP networks from link load measurements
augmented by readily available network and routing configuration information.”
Association for Computing Machinery
ACM SIGMETRICS Test of Time Award 2012
For the paper \"Network Tomography on General Topologies\" (2002)
awarded jointly with Tian Bu
Francesco Lo Presti and Don Towsley. This award is given each year to a previous conference paper whose impact is still felt 10-12 years after publication. Citation: “This paper is a pioneering work in network tomography and it presented novel and formal approaches to perform tomography on networks under general setting
from which various performance
e.g.
delay
packet lost
..etc.
can be estimated.”
Association for Computing Machinery
AT&T Fellow
Citation: \"For fundamental contributions to sampling
analysis and inference from network measurements that have had broad impact on AT&T and the industry\"
AT&Ts highest technical award
IEEE Fellow
Citation: \"For contributions to the measurement
analysis and management of telecommunications networks\"
Institute of Electrical and Electronics Engineers
Nick
Duffield
University of Heidelberg
Oxford-Man Institute of Quantitative Finance
Frontiers
Texas A&M University
Dublin City University
Sonderforschungsbereich 123
Royal Society European Science Exchange Fellow
University of Heidelberg
Dublin City University
Member Board Of Directors of ACM SIGMETRICS
ACM
Association for Computing Machinery
Research Scholar
Dublin Institute for Advanced Studies
Ph.D.
Mathematical Physics
Queen Mary University of London
MMath (Part III Maths)
Mathematics
Christ's College
University of Cambridge
Open Scholarship; B.A.
Natural Sciences (Physics and Theoretical Physics)
Christ's College
University of Cambridge
Whitgift School
Cloud Computing
Network Design
UMTS
Linux
Unix
Software Engineering
Integration
System Architecture
Perl
Network Architecture
Mobile Devices
Telecommunications
Embedded Systems
LTE
Wireless
Software Development
IP
Distributed Systems
VoIP
TCP/IP
H-Index 63; more than 16
000 citations from over 165 refereed publications listed at https://nickduffield.net/papers/
Duffield