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Dr. Nick Duffield
Dr. Nick Duffield, director of the Texas A&M Institute of Data Science, was named a 2020 fellow by the Association for Computing Machinery for his contributions to network measurement and analysis. | Image: Texas A&M Engineering

Dr. Nick Duffield, the Royce E. Wisenbaker Professor I in the Department of Electrical and Computer Engineering at Texas A&M University, was named a 2020 fellow by the Association for Computing Machinery (ACM) for his contributions to network measurement and analysis.

ACM is the world's largest and most prestigious society of computing professionals. The ACM fellows program recognizes the top 1% of ACM members for their outstanding accomplishments in computing and information technology and/or outstanding service to ACM and the larger computing community. Fellows are nominated by their peers, with nominations reviewed by a distinguished selection committee.

Duffield is director of the Texas A&M Institute of Data Science (TAMIDS), at which he and his collaborators pursue new approaches to data science research, education, operations and partnership. The work conducted within TAMIDS spans multiple disciplines and connects researchers from across Texas A&M to bring together elements of data science from engineering, technology, science and the humanities, and inform wider social challenges. Duffield also holds a courtesy appointment in the Department of Computer Science and Engineering.

Duffield’s research focuses on data science and computer networking, with current projects concerning algorithms for data streaming and machine learning, computer network measurement and resilience, and applications of data science to urban science, transportation, agriculture and hydrology.

Texas A&M Institute of Data Science

The Texas A&M Institute of Data Science (TAMIDS) serves and fosters collaborations across the university and its affiliated agencies. It is a joint undertaking of Texas A&M University with the Texas A&M Engineering Experiment Station and Texas A&M AgriLife Research. TAMIDS is an inclusive umbrella organization for data science and facilitates interactions between researchers in diverse application areas and those with expertise in core methodologies, promotes education in data science across the university and pursues outreach to commercial and governmental organizations in the wider data science ecosystem.