Biography and Interests

Transferred to CSL in 2016.
Areas of research (see home page link above):

• Reservoir Computing
• Global properties of large sensor datasets
• Chaos and Dynamics in AI
• Computational neuroscience
• Experimental neuroscience.

Current Projects

Open Source Three-Dimensional Image Understanding System FREEDIUS is a portable, open-source image understanding workbench. It is the successor to the 3DIUS/CME system.

Past Projects

	Behavioral Probes Activity Recognition in outdoor settings.
	Cognitive Assistant that Learns and Organizes As part of DARPA’s Personalized Assistant that Learns (PAL) program, SRI and team members are working on developing a next-generation "Cognitive Agent that Learns and Organizes" (CALO).

Software

	FREEDIUS FREEDIUS is a free Geospatial Image Understanding system. It is a portable, open-source successor to SRI’s 3DIUS system (including CME, Image-Calc, RADIUS Common Development Environment, and other Image Understanding tools).
	Radius Common Development Environment A rapid prototyping system for 3-D image understanding algorithms.

Publications

The following are in reverse chronological order of publication.
Showing most recent 5 out of 46 [View All]

• Ciocarlie, G. and Connolly, C. and Cheng, C. and Lundqvist, U. and Novaczi, S. and Sanneck, H. and Naseer-ul-Islam, M. Anomaly Detection and Diagnosis for Automatic Radio Network Verification, in 6th International Conference on Mobile Networks and Management (MONAMI), 2014.  [Details]

• Christopher I. Connolly. A Testbed for Video-Based Analysis of Human Motion, Technical Note 566. AI Center, SRI International, 333 Ravenswood Avenue, Menlo Park, CA 94025, April 2008.  [PDF, Details]

• Connolly, C. I. and Burns, J. B. and Bui, H. H. Recovering Social Networks From Massive Track Datasets, in IEEE International Workshop on Applications of Computer Vision, IEEE, January 2008.  [PDF, Details]

• Connolly, C. I. and Burns, J. B. and Bui, H. H. Sampling Stable Properties of Massive Track Datasets, in Proceedings of the 2007 Workshop on Massive Datasets, November 2007.  [PDF, Details]

• Connolly, C. I. and Burns, J. B. and Bui, H. H. Recovering Social Networks From Massive Track Datasets, Technical Note 564. AI Center, SRI International, 333 Ravenswood Ave., Menlo Park, CA 94025, October 2007.  [PDF, Details]