Rate My Professor Paul Barford

Barford's research focuses on computer networking, with emphasis on measurement and analysis of Internet protocols, traffic characteristics, and topological structure; Internet security, including detection and identification of fraud, traffic anomalies, malicious attacks, and intrusions; and Internet data science, emphasizing large-scale analytics, data quality, mining, and modeling. He has received prestigious awards such as ACM Fellow in 2016, IEEE Fellow in 2018, ACM Distinguished Scientist in 2014, NSF CAREER Award in 2004, University of Wisconsin Chancellor’s Teaching Innovation Award in 2025, Fellow of the University of Wisconsin Teaching Academy in 2025, and multiple best paper awards including ACM SIGKDD Best Paper in 2012 and ACM SIGCOMM Best Paper in 2016. Key publications include “Take The Long Way Home - Distant Peering to the Cloud” (IEEE/ACM Transactions on Networking, 2025), “Clouds Are Where the (Security) Action Is: Have Honeypots Been Left in the Dust?” (IEEE Security & Privacy, 2025), “Assessing the Expansion of Ground Motion Sensing Capability in Smart Cities via Internet Fiber Optic Infrastructure” (Seismological Research Letters, 2024), “BigBen: Telemetry Processing for Internet-wide Event Monitoring” (IEEE Transactions on Network and Service Management, 2022), and “A Machine Learning Approach to TCP Throughput Prediction” (IEEE/ACM Transactions on Networking, 2010). Barford has advised numerous PhD students who have gone on to positions in academia and industry.