Data-Centric Computing

Data-Centric Computing interests many in the Department of Computer Science at Georgetown University. Carried out by faculty members, postdocs, and graduate and undergraduate researchers, our research covers a wide range of cutting-edge topics in theories, algorithms, systems, and applications about data. Our areas of expertise include:

artificial intelligence and machine learning (Sarah Adel Bargal, Mark Maloof, Nitin Vaidya, and Grace Hui Yang)
computational linguistics (Nathan Schneider)
computer architecture, hardware resiliency and approximate computing (Radha Venkatagiri)
computer vision (Sarah Adel Bargal)
databases and distributed systems (Lisa Singh and Nitin Vaidya)
data mining (Nazli Goharian, Mark Maloof and Lisa Singh)
health informatics (Ophir Frieder and Nazli Goharian)
information retrieval (Ophir Frieder, Nazli Goharian and Grace Hui Yang)
natural language processing (Nazli Goharian and Nathan Schneider)
privacy and data (Kobbi Nissim, Lisa Singh, Nitin Vaidya, and Grace Hui Yang)
social media analysis (Nazli Goharian and Lisa Singh)

The faculty in Data-Centric Computing are affiliated with various labs and groups at Georgetown University, including the following:

Students in the department benefit from engaging coursework, close interaction with faculty and peers, a prime location in the heart of Washington, DC, and excellent career prospects. In particular, we seek highly motivated Ph.D. applicants with strong mathematical, programming, and communication skills to join our community. Contact any of the faculty members listed above to find out more about current opportunities in the department.