معرفی
Lise Getoor is an Adjunct Professor in the Department of Computer Science at the University of Maryland. She holds a Ph.D. from Stanford University (2001). Her research focuses on artificial intelligence, machine learning, databases, and social network analysis, with notable contributions to probabilistic and logical methods in machine learning and knowledge discovery. She has been recognized as a Fellow of both the American Association for the Advancement of Science (AAAS, 2022) and the Association for the Advancement of Artificial Intelligence (AAAI, 2013).
**Education**: Ph.D., Stanford University, 2001.
**Research Interests**: Dr. Getoor’s work integrates machine learning, databases, and graph mining. She explores topics such as reasoning under uncertainty, probabilistic soft logic, and applications in network analysis. Her research bridges theoretical advancements with practical systems for scalable data analysis.
**Awards**:
- AAAS Fellow (2022)
- AAAI Fellow (2013)
**Advising & Grants**: She has mentored students like Jay Pujara and Hui Miao, whose collaborative work won the Best Student Paper Award at the 12th ISWC Conference (2013). Her grants and collaborations include contributions to UMIACS (University of Maryland Institute for Advanced Computer Studies) and initiatives in machine learning systems.
