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Photoexcitation of Complex Molecular Systems through Combined FirstPrinciples...
全球变化科学紫荆论坛第439期:基于850hPa相对涡度的热带气旋路径追踪识别方法
Controlling the Structure of Inference and Learning in Neural Networks
环境学术沙龙第698期:城市水系统综合管理:关键铁盐化学品的生产与利用
报告题目:
Mobile Social Networking without Big Brother
 报告人:
Monica Lam
Prof. Stanford University
报告时间:
2010-06-10 15:00
报告地点:
FIT 4-603
主办单位:
清华大学理论计算机科学研究中心
  简介:
Abstract:
=======
Motivated to offer consumers an alternative to centralized social networking, we have created three new social networking paradigms and associate software platforms to attract both users and application developers. The social networking paradigms introduced matches our conceptual model of real-life social interactions. Our software platform promotes the creation of decentralized and egalitarian social networks. This research is performed as part of a larger project called the Programmable Open Mobile Internet (POMI) 2020.
 
Short Bio:
========
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.
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