CS547 Human-Computer Interaction Seminar  (Seminar on People, Computers, and Design)

Fridays 12:30-1:50 · Gates B01 · Open to the public
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Monica Lam
Stanford Computer Science
Open Mobile and Social Computing
October 22, 2010

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Being with us all the time, mobile devices will revolutionize our social life. We believe fundamentally that we should be able to interact with each other, without having to join the same proprietary social network. Our research approach is to create system platforms that 1) attract users by enabling innovative and attractive interaction paradigms and (2) attract developers by hiding the complexity in creating privacy-preserving applications.

This talk introduces three recent research results in this project. We will describe Junction, an infrastructure for ``partyware'' that enables people at a party to exchange information and collaborate easily and privately. To simplify the specification of access control, we have developed an algorithm that automatically infers important groups from one social activities such as email communications and tagged photos. Lastly, we will present Mr. Privacy, an attempt to create an open and federated social networking infrastructure by leveraging email.

We are in the process of creating a MobiSocial Laboratory whose goal is to bring together corporations interested in promoting open social computing.



Monica Lam is a Professor in the Computer Science Department at Stanford University. She is currently working on the Programmable Open Mobile Internet (POMI) 2020 project. Her past research projects include parallel architectures, compiler optimizations for locality and parallelism, program analysis to improve security and reliability, and virtualization-based desktop management. She helped found Tensilica, a company that specializes in configurable processor cores, in 1998. She co-founded Moka5 in 2005 with her students to commercialize their research on desktop virtualization. She is a co-author of the second edition of the dragon book, Compilers: Principles, Techniques, and Tools, published in 2006. She received a B.Sc. from University of British Columbia in 1980 and a Ph.D. in Computer Science from Carnegie Mellon University in 1987. She is a Fellow of the ACM.