Virgil Pavlu
Research Interests
- Information retrieval
- Machine learning
- Algorithms
Education
- PhD in Computer Science, Northeastern University
- BS in Mathematics with minor in Computer Science, University of Bucharest — Romania
Biography
Virgil Pavlu is an associate teaching professor at the Khoury College of Computer Sciences at Northeastern University. He earned his doctorate in computer science from Northeastern and his bachelor’s in mathematics from the University of Bucharest, Romania. Pavlu’s research interests include information retrieval, including diversity, learning to rank, metasearch, score distribution models, and relevance feedback. At Northeastern, he teaches machine learning, information retrieval, and algorithms.
Pavlu’s current research centers around machine learning algorithms for certain data types, particularly applications to text data. On long text, this includes the extraction and selection of n-grams features, and on short text, this includes the discovery, indexing and matching of nuggets for tasks like relevance and novelty. One of his projects addresses the representability of text documents in high-dimensional spaces, the study of similarity and distance notions, and the active learning application to crowdsourcing methodologies for obtaining such representation.
Since 2007, Pavlu has been involved with the SIGIR conference either as a reviewer or an organizer. He was a coordinator of several TREC and NTCIR tracks.
Pavlu grew up in Bucharest, Romania.
Research Interests
- Information retrieval
- Machine learning
- Algorithms
Education
- PhD in Computer Science, Northeastern University
- BS in Mathematics with minor in Computer Science, University of Bucharest — Romania
Biography
Virgil Pavlu is an associate teaching professor at the Khoury College of Computer Sciences at Northeastern University. He earned his doctorate in computer science from Northeastern and his bachelor’s in mathematics from the University of Bucharest, Romania. Pavlu’s research interests include information retrieval, including diversity, learning to rank, metasearch, score distribution models, and relevance feedback. At Northeastern, he teaches machine learning, information retrieval, and algorithms.
Pavlu’s current research centers around machine learning algorithms for certain data types, particularly applications to text data. On long text, this includes the extraction and selection of n-grams features, and on short text, this includes the discovery, indexing and matching of nuggets for tasks like relevance and novelty. One of his projects addresses the representability of text documents in high-dimensional spaces, the study of similarity and distance notions, and the active learning application to crowdsourcing methodologies for obtaining such representation.
Since 2007, Pavlu has been involved with the SIGIR conference either as a reviewer or an organizer. He was a coordinator of several TREC and NTCIR tracks.
Pavlu grew up in Bucharest, Romania.