We study the fundamentals of learning, modeling, and networking in the following research areas:

  • Wireless networks
  • Networking under uncertainty
  • Protocol enhancement and implementation
  • Network economics

We make use of the tools of

  • Machine learning and statistical inference
  • Stochastic processes and queueing
  • Optimization and distributed algorithms
  • Game theory and economics