Christina Aperjis
I am a Ph.D. candidate in Operations Research at Stanford. My advisor is Ramesh Johari.
In the fall, I will join the Social Computing Lab at HP Labs.
My research focuses on providing incentives for efficient outcomes in
settings with rational agents who act in their self interest.
I have worked on two such settings: electronic markets and peer-assisted
content distribution.
In the former, the goal is to achieve efficient trade; in the latter, it is
efficient allocation of network resources.
I have studied how these goals can be achieved through reputation mechanisms
(in online marketplaces) and prices (in content distribution).
Mechanisms to Manage Incentives in Online Systems (thesis)
Bilateral and Multilateral Exchanges for
Peer-Assisted Content Distribution
Christina Aperjis, Ramesh Johari, and Michael J. Freedman
Optimal Windows for Aggregating Ratings in
Electronic Marketplaces
Christina Aperjis and Ramesh Johari
Designing
Reputation Mechanisms for Efficient Trade
Christina Aperjis and Ramesh Johari
Peer-Assisted
Content Distribution with Prices
Christina Aperjis, Michael J. Freedman,
and Ramesh Johari
Proc. ACM SIGCOMM Conference on
emerging Networking EXperiments and Technologies
(CoNext
'08)
A
Comparison of Bilateral and Multilateral Exchanges for Peer-Assisted Content
Distribution
Christina Aperjis, Michael J. Freedman, and Ramesh Johari
Workshop on Network Control and Optimization (NetCoop ’08), Paris,
The
Role of Prices in Peer-Assisted Content Distribution
Christina Aperjis, Michael J. Freedman, and Ramesh Johari
Technical report.
Prices are
Right: Managing Resources and Incentives in Peer-Assisted Content Distribution
Michael J. Freedman, Christina
Aperjis, and Ramesh Johari
Proc. 7th International Workshop on
Peer-to-Peer Systems (IPTPS
'08)
A Peer-to-Peer
System as an Exchange Economy
Christina Aperjis and Ramesh Johari
Workshop on Game Theory for Networks (GameNets
'06), Pisa, Italy. October 2006.
Detailed version