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Title: "Just Machine Learning"
Abstract: Professor Eliassi-Rad will address the following questions: What is machine learning? Is there such a thing as just machine learning? If so, is just machine learning possible in our unjust world?
Tina Eliassi-Rad is Associate Professor of Computer and Information Science at Northeastern University. She is also on the faculty of Northeastern's Network Science Institute. Prior to joining Northeastern, she was an Associate Professor of Computer Science at Rutgers University; and before that she was a Member of Technical Staff and Principal Investigator at Lawrence Livermore National Laboratory. Professor Eliassi-Rad's research is rooted in data mining and machine learning; and spans theory, algorithms, and applications of massive data from networked representations of physical and social phenomena. Her work has been applied to personalized search on the World-Wide Web, statistical indices of large-scale scientific simulation data, fraud detection, mobile ad targeting, and cyber situational awareness. Her algorithms have been incorporated into systems used by the government and industry (e.g., IBM System G Graph Analytics) as well as open-source software (e.g., Stanford Network Analysis Project). In 2010, she received an Outstanding Mentor Award from the Office of Science at the US Department of Energy.
