机器学习在计算机网络中的应用

Dr.Nick is Neubauer Professor of Computer Science and Director of the Center for Data and Computing at the University of Chicago. He also directs the Network Operations and Internet Security research lab, where we develop data-driven tools and systems to improve Internet security, performance, and adoption. He designs and deploys network protocols and systems that make the Internet work better. Prof.Nick uses empirical network measurement and machine learning to understand and improve network performance, security, and privacy. The results of his research often have policy implications. I regularly work with federal and municipal organizations, including the Federal Communications Commission (FCC) and the City of Chicago on equitable Internet access, security, and privacy. Nick 导师现任芝加哥大学计算机科学讲席终身正教授，同时担任芝加哥大学数据与计算中心主任，曾在普林斯顿大学担任计算机科学终身教授、信息技术政策中心副主任，也曾在佐治亚理工学院担任计算机学院教授。他的研究侧重于网络安全和性能。Nick 导师拥有麻省理工学院计算机科学博士学位、电气工程和计算机科学的硕士和学士学位。 Nick 导师是美国计算机械协会(ACM)的会员。该协会为计算机科学领域大约1%的专业人士保留。 导师曾荣获NSF“美国青年科学家与工程师总统奖”（PECASE，美国青年科学家和工程师的 高荣誉）和“IBM优秀教师奖“，被《麻省理工学院技术评论》评为35岁以下佳创新者之一。