World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
69
Citations
18837
World Ranking
1979
National Ranking
1000

Research.com Recognitions

  • 2020 - ACM Fellow For contributions to network measurement and analysis

Overview

Nick Duffield is affiliated with Texas A&M University in the United States. Their research has primarily focused on the field of Computer Science, with a substantial body of work addressing various subfields including Artificial Intelligence, Molecular Biology, Plant Science, Computer Vision and Pattern Recognition, as well as Sociology and Political Science.

The scholarly output of Duffield covers topics in Smart Agriculture and AI, Industrial Vision Systems and Defect Detection, Food Supply Chain Traceability, Traffic Prediction and Management Techniques, Video Surveillance and Tracking Methods, Autonomous Vehicle Technology and Safety, and COVID-19 epidemiological studies.

  • A reinforcement learning-based routing algorithm for large street networks, 2023, International Journal of Geographical Information Systems
  • Visual recognition for urban traffic data retrieval and analysis in major events using convolutional neural networks, 2022, Computational Urban Science
  • Near-Optimal Disjoint-Path Facility Location Through Set Cover by Pairs, 2020, Operations Research
  • Revealing the linguistic and geographical disparities of public awareness to Covid-19 outbreak through social media, 2022, International Journal of Digital Earth
  • Bayesian Graph Neural Networks with Adaptive Connection Sampling, 2020, arXiv (Cornell University)

Their research has appeared frequently in venues such as arXiv (Cornell University), Computational Urban Science, Advances in Modern Agriculture, SSRN Electronic Journal, and the International Journal of Geographical Information Systems.

  • Yalong Pi
  • Haoyu Niu
  • Arman Hasanzadeh
  • Xiaoning Qian
  • Ziyi Zhang

Duffield has been recognized as an ACM Fellow in 2020 for contributions to network measurement and analysis.

Best Publications

  • 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

  • A flexible model for resource management in virtual private networks

    N. G. Duffield;Pawan Goyal;Albert Greenberg;Partho Mishra

  • Large deviations and overflow probabilities for the general single-server queue, with applications

    N. G. Duffield;Neil O'connell

  • Trajectory sampling for direct traffic observation

    N. G. Duffield;Matthias Grossglauser

  • On the constancy of internet path properties

    Yin Zhang;Nick Duffield

  • Estimating flow distributions from sampled flow statistics

    Nick Duffield;Carsten Lund;Mikkel Thorup

  • Multicast-based inference of network-internal loss characteristics

    R. Caceres;N.G. Duffield;J. Horowitz;D.F. Towsley

  • On unbiased sampling for unstructured peer-to-peer networks

    Daniel Stutzbach;Reza Rejaie;Nick Duffield;Subhabrata Sen

  • Multicast-based inference of network-internal delay distributions

    Francesco Lo Presti;N. G. Duffield;Joe Horowitz;Don Towsley

  • Network tomography on general topologies

    Tian Bu;Nick Duffield;Francesco Lo Presti;Don Towsley

  • Properties and prediction of flow statistics from sampled packet streams

    Nick Duffield;Carsten Lund;Mikkel Thorup

  • Network Tomography of Binary Network Performance Characteristics

    N. Duffield

  • Inferring link loss using striped unicast probes

    N.G. Duffield;F. Lo Presti;V. Paxson;D. Towsley

  • Large deviations, the shape of the loss curve, and economies of scale in large multiplexers

    Dmitri Botvich;Nick G. Duffield;Nick G. Duffield

  • Multicast topology inference from measured end-to-end loss

    N.G. Duffield;J. Horowitz;F. Lo Presti;D. Towsley

  • Systems, methods, and devices for monitoring networks

    Christopher J. Chase;Nicholas G. Duffield;Albert G. Greenberg;Oliver Spatscheck

  • Efficient Graphlet Counting for Large Networks

    Nesreen K. Ahmed;Jennifer Neville;Ryan A. Rossi;Nick Duffield

  • Online identification of hierarchical heavy hitters: algorithms, evaluation, and applications

    Yin Zhang;Sumeet Singh;Subhabrata Sen;Nick Duffield

  • Charging from sampled network usage

    Nick Duffield;Carsten Lund;Mikkel Thorup

  • The use of end-to-end multicast measurements for characterizing internal network behavior

    A. Adams;Tian Bu;T. Friedman;J. Horowitz

Frequent Co-Authors

Subhabrata Sen
Subhabrata Sen AT&T (United States)
Mikkel Thorup
Mikkel Thorup University of Copenhagen
Carsten Lund
Carsten Lund AT&T (United States)
Don Towsley
Don Towsley University of Massachusetts Amherst
Nesreen K. Ahmed
Nesreen K. Ahmed Intel (United States)
Edith Cohen
Edith Cohen Tel Aviv University
Alexandre Gerber
Alexandre Gerber AT&T (United States)
Patrick Haffner
Patrick Haffner Interactions Corporation
Krishna R. Narayanan
Krishna R. Narayanan Texas A&M University

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