| Bio Text: |
Smaranda Muresan received her PhD degree in Computer Science from Columbia University. In her dissertation research, she developed a computational learning model for deep natural language understanding and showed applications in the PERSIVAL medical digital library project. Before coming to Rutgers she was a Postdoctoral Research Associate at the Institute for Advanced Computer Studies at University of Maryland. Her research interests include digital libraries, computational approaches for language learning and understanding, machine translation, and relational learning. Her work unifies two separate but central themes in human language technologies: computational formalisms to express language phenomena and induction of knowledge from data. |