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Nick Duffield
Director, Texas A&M Institute of Data Science; Royce E Wisenbaker Professor I in ECE; {ACM, IEEE, IET, AT&T} Fellow
Nick Duffield is a prominent academic in the field of data science and computer networking, currently serving as the Royce E. Wisenbaker Professor I in the Department of Electrical and Computer Engineering at Texas A&M University. He also holds the position of Director at the Texas A&M Institute of Data Science (TAMIDS). His educational background includes a Bachelor of Arts and a Master of Mathematics from the University of Cambridge, UK, and a Ph.D. in Mathematical Physics from the University of London, UK, obtained in 1987.12
Research Interests
Duffield's research primarily focuses on:
- Data Science: Applications involving large datasets, particularly in communications networks.
- Network Science: This includes network measurement, resilience, and algorithms for data streaming.
- Machine Learning: He explores its applications in various fields such as transportation, agriculture, and hydrology.124
Professional Background
Before joining Texas A&M University, Duffield worked at AT&T Labs-Research from 1995 to 2013, where he was recognized as a Distinguished Member of Technical Staff and an AT&T Fellow. He has also held academic positions in Dublin, Ireland, and Heidelberg, Germany.24
Honors and Awards
Duffield is a fellow of several prestigious organizations including:
- ACM (Association for Computing Machinery)
- IEEE (Institute of Electrical and Electronics Engineers)
- IET (Institution of Engineering and Technology)
He has received the ACM SIGMETRICS Test-of-Time Award in both 2012 and 2013 for his influential work in network tomography.13
Publications and Contributions
He has authored or co-authored over 160 publications and holds 55 US patents related to his research areas. His work has significantly influenced internet measurement and analytics, contributing to various internet systems and standards.12
In summary, Nick Duffield is a leading figure in data science and networking, with extensive experience in academia and industry, recognized for his contributions to both theoretical foundations and practical applications in these fields.

