overview

My research focuses on data and network science, particularly applications of probability, statistics, algorithms and machine learning to the acquisition, management and analysis of large datasets in communications networks and beyond.

education and training
selected publications
Academic Articles96
  • Pi, Y., Duffield, N., Behzadan, A. H., & Lomax, T. (2022). Visual recognition for urban traffic data retrieval and analysis in major events using convolutional neural networks. Computational Urban Science. 2(1), 2.
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  • Pi, Y., Ye, X., & Duffield, N. (2022). Rapid Damage Estimation of Texas Winter Storm Uri from Social Media Using Deep Neural Networks. URBAN SCIENCE. 6(3), 62-62.
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  • Lin, B., Zou, L., Duffield, N., Mostafavi, A., Cai, H., Zhou, B., ... Abedin, J. (2022). Revealing the linguistic and geographical disparities of public awareness to Covid-19 outbreak through social media. International Journal of Digital Earth. 15(1), 868-889.
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  • Ahmed, N. K., Duffield, N., & Rossi, R. A. (2021). Online Sampling of Temporal Networks. ACM Transactions on Knowledge Discovery from Data. 15(4), 1-27.
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  • Ahmed, N. K., & Duffield, N. (2020). Adaptive Shrinkage Estimation for Streaming Graphs. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS (NEURIPS 2020). 33,
Chapters3
  • Dong, W., Duffield, N., Ge, Z., Lee, S., & Pang, J. (2013). Modeling Cellular User Mobility Using a Leap Graph. Lecture Notes in Artificial Intelligence. Passive and Active Measurement. 53-62. Springer Berlin Heidelberg.
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  • Duffield, N., & Morton, A. l. (2010). Measurements of Data Plane Reliability and Performance. Computer Communications and Networks. 319-355. Springer London.
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  • Duffield, N. G., & Whitt, W. (2000). Network Design and Control Using On/Off and Multilevel Source Traffic Models with Heavy-Tailed Distributions. Self-Similar Network Traffic and Performance Evaluation. 421-445. John Wiley & Sons, Inc..
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Conference Papers120
  • Pi, Y., Duffield, N., Behzadan, A. H., & Lomax, T. (2022). Computer Vision and Multi-Object Tracking for Traffic Measurement from Campus Monitoring Cameras. Computing in Civil Engineering 2021, ASCE International Conference on Computing in Civil Engineering 2021. 950-958.
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  • Feng, Y., & Duffield, N. (2022). Multiscale Energy Network Tomography. 2022 IFIP Networking Conference (IFIP Networking), 2022 IFIP Networking Conference (IFIP Networking). 00, 1-9.
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  • Panda, S., Feng, Y., Kulkarni, S. G., Ramakrishnan, K. K., Duffield, N., & Bhuyan, L. N. (2021). SmartWatch. Proceedings of the 17th International Conference on emerging Networking EXperiments and Technologies, CoNEXT '21: The 17th International Conference on emerging Networking EXperiments and Technologies. 60-75.
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  • Mao, H., Liu, X. i., Duffield, N., Yuan, H., Ji, S., & Mohanty, B. (2020). Context-Aware Deep Representation Learning for Geo-Spatiotemporal Analysis. 2020 IEEE International Conference on Data Mining (ICDM), 2020 IEEE International Conference on Data Mining (ICDM). 00, 392-401.
  • Feng, Y., Panda, S., Kulkarni, S. G., Ramakrishnan, K. K., & Duffield, N. (2020). A SmartNIC-Accelerated Monitoring Platform for In-band Network Telemetry. 2020 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN, 2020 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN). 00, 1-6.
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Repository Documents / Preprints23
  • Hasanzadeh, A., Hajiramezanali, E., Duffield, N., & Qian, X. (2022). MoReL: Multi-omics Relational Learning.
  • Hasanzadeh, A., Armandpour, M., Hajiramezanali, E., Zhou, M., Duffield, N., & Narayanan, K. (2021). Bayesian Graph Contrastive Learning.
  • Hajiramezanali, E., Hasanzadeh, A., Duffield, N., Narayanan, K. R., & Qian, X. (2020). BayReL: Bayesian Relational Learning for Multi-omics Data Integration.
  • Hasanzadeh, A., Hajiramezanali, E., Boluki, S., Zhou, M., Duffield, N., Narayanan, K., & Qian, X. (2020). Bayesian Graph Neural Networks with Adaptive Connection Sampling.
  • Hajiramezanali, E., Hasanzadeh, A., Duffield, N., Narayanan, K., Zhou, M., & Qian, X. (2019). Semi-Implicit Stochastic Recurrent Neural Networks.
patents
Patents63
chaired theses and dissertations
Email
duffieldng@tamu.edu
First Name
Nick
Last Name
Duffield
mailing address
Texas A&M University; Electrical Engineering; 3259 TAMU
College Station, TX 77843-3259
USA