I have more than 20 years of professional experience in technology research and development, split between industrial research labs and startup companies. Areas of focus include mobile and ubiquitous computing, analysis and applications of human mobility data, wireless networking, network measurement, virtualization, security, and privacy.
I'm currently a Lead Member of Technical Staff at AT&T Labs. I was previously a Research Staff Member at IBM Research and Chief Scientist of Vindigo, an award-winning provider of location-based services for mobile devices. I hold a Ph.D. in Computer Science from the University of California at Berkeley. I'm an IEEE Fellow and an ACM Distinguished Scientist.
My curriculum vitae contains a more complete career history.
In the last several years my work has focused on characterizing and modeling human mobility. Understanding how people move yields insights into important societal issues, such as the environmental impact of human travel, traffic congestion, and the spread of disease. Cellular telephone networks can shed light on human movements cheaply and on a large scale.
Together with colleagues, I have analyzed billions of location samples for hundreds of thousands of anonymous cellphones to characterize how people move in metropolitan areas such as New York, Los Angeles, and San Francisco. Our results have included range of travel, important places, commuting carbon footprints, commuting routes, and catchment areas. We have also developed differentially private modeling techniques that generate realistic sequences of locations and times for arbitrary numbers of synthetic people moving across metropolitan-scale regions.
My curriculum vitae outlines other previous work.
- Selected recent papers:
DP-WHERE: Differentially Private Modeling of Human Mobility,
D. J. Mir, S. Isaacman, R. Cáceres, M. Martonosi, and R. N. Wright,
to appear in Proc. of IEEE International Conference on Big Data (BigData),
Towards Synchronization of Live Virtual Machines among Mobile Devices,
J. Bickford and R. Cáceres,
14th ACM Workshop on Mobile Computing Systems and Applications (HotMobile),
Human Mobility Characterization from Cellular Network Data,
R. Becker, R. Cáceres, K. Hanson, S. Isaacman, J. M. Loh, M. Martonosi, J. Rowland, S. Urbanek, A. Varshavsky, and C. Volinsky,
Communications of the ACM (CACM),
Vol. 56, No. 1,
Obtaining In-Context Measurements of Cellular Network Performance,
A. Gember, A. Akella, J. Pang, A. Varshavsky, and R. Cáceres,
2012 Internet Measurement Conference (IMC),
Human Mobility Modeling at Metropolitan Scales,
S. Isaacman, R. Becker, R. Cáceres, M. Martonosi, J. Rowland, A. Varshavsky, and W. Willinger,
10th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys),
Ubicomp Systems at 20: Progress, Opportunities, and Challenges,
R. Cáceres and A. Friday,
IEEE Pervasive Computing,
special issue on Weiser's Vision: 20 Years Later,
Vol. 11, No. 1,
- Human mobility:
- How to Mine Cell-Phone Data Without Invading Your Privacy, MIT Technology Review, May 13, 2013.
- The Really Smart Phone, Wall Street Journal, April 22, 2011.
- Telcos Waking Up To the Value of Your Location, Slashdot, May 28, 2010.
- Mobile Data: A Gold Mine for Telcos, MIT Technology Review, May 27, 2010.
- IEEE Fellow,
- ACM Distinguished Scientist,
- CRA-W/CDC Distinguished Lecturer,
- ACM/USENIX MobiSys Best Paper Award,
- IBM Pat Goldberg Memorial Best Paper Award,
- ACM Recognition of Service Award,
2000, 2007, 2008.
- McGill University Faculty Scholar,
- Carol Morgan School Distinguished Alumnus Award,
Last updated 1 December 2013.