Ph.D. Candidate
Donald Bren School of Information and Computer Science
University of California, Irvine

yez AT uci DOT edu

My brief self-introduction
My research contributions
experiences and honors
My experiences beyond research
Interesting stuff
Downloadable pdf

  My Profile
I'm a Ph.D. candidate in Network Systems at the Donald Bren School of Information and Computer Science, University of California Irvine, working with Prof. Nalini Venkatasubramanian in Distributed System Middleware(DSM) group.

I received my Bachelor's degree from the School of Telecommunication Engineering at Beijing Univerisity of Posts and Telecommunications, China, and my Master's degree from the department of Electrical and Electronics Engineering at Imperial College London, United Kingdom.

  Research Interests
I'm now working on the Societal & Geographical Notification and Alerting (SIGNAL) project, and interested in researches in the following areas:
  • Content dissemination with distributed and P2P systems, publish/subscribe notification systems

  • Online social networks and crowdsourcing

  • Cloud services and applications

  • Wireless and mobile systems, delay tolerant networks (DTNs)

  Current Research Project
Next Generation Community Notification and Alerting
the information needs of people are usually goegraphical correlated as well as socially correlated: (a) people are often interested in events and information within their immediate vicinity, and (b) people are often interested in events and information of others who are socially related to them. In this project we explore techniques to enable efficient and scalable community notifications by exploring knowledge of users' geo-social contexts they exposed through online social networks and personal devices and knowledge of physical network environments and communication channels. We study and develop approaches in two conceptual layers: (a) content-layer foucsing on providing personalized information and contents to users and (b) delivery-layer focusing on improving content delivery performance by considering different channels and devices (e.g., mobile networks and DTNs) the users connect to the system with.