Filip Radlinski, a Fulbright scholar from Australia, has won a two-year Microsoft Research Fellowship, awarded to outstanding Ph.D. students in computer science, electrical engineering or math. He will use the fellowship to further his thesis research, which involves applying machine learning to ranking problems. The fellowship covers a variety of expenses, including tuition, fees and conference travel and provides a stipend and tablet PC.
"The competition for Microsoft Research Fellowships is intense," said Thorsten Joachims, Cornell professor of computer science and Radlinski's adviser. "The fellowship is a tremendous asset to both Filip and to Cornell in how it recognizes the quality and the potential impact of his work on making search engines learn improved ranking functions."
Radlinski's research focuses on computer programs that can learn from experience, with particular application to search engines that adjust the ranking of their returns to what they have learned about the user submitting a query.
In 2005, Radlinski earned a Best Student Paper Award at the 11th annual International Conference on Knowledge Discovery and Data Mining for "Query Chains: Learning to Rank From Implicit Feedback," co-authored with Joachims. He is president of the Australians and New Zealanders group at Cornell, co-chair of the student-run 2006 North East Student Colloquium on Artificial Intelligence and represents graduate students on Cornell's Computer Science Computing Facilities Support advisory committee.