Recent News

	(08/05/09) Dartmouth has received a $3 million grant from the National Science Foundation for research to develop secure and trustworthy computing systems for healthcare settings. Read more here.
	(07/10/09) Prof. Amit Chakrabarti was selected as the 2009 recipient of the Karen E. Wetterhahn Memorial Award for Distinguished Creative or Scholarly Achievement.
	(06/10/09) We are pleased to announce the winners of the 41st Annual John G. Kemeny Computing Prize for Excellence in Undergraduate Computing.

Recent Technical Reports

• September 2009: Katana: A Hot Patching Framework for ELF Executables
• October 2010: Detecting Photographic Composites of Famous People
• September 2009: Activity-Aware Electrocardiogram-based Passive Ongoing Biometric Verification
• August 2009: Semantic and Visual Encoding of Diagrams
• July 2009: Distributed Monitoring of Conditional Entropy for Network Anomaly Detection

Featured Research

Inferring Social Networks Automatically using Sensor Data

Prof. Tanzeem Choudhury

The structure and dynamics of social networks are of critical importance to many social phenomena, ranging from organizational efficiency to the spread of knowledge and disease. However, advances in modeling the dynamics of social networks has been limited due to the lack of rich temporal data. By developing new machine learning methods that can infer the structure and dynamics of social networks from mobile sensor data, we are investigating ways to unobtrusively study social interactions and networks over extended periods of time. A deeper understanding of people's interactions will have significant impacts, not only on the social science research literature, but also enable the development of socially aware ubiquitous computing systems that are cognizant of and responsive to users' engagement with their social environment.