Communications & Networking (COMNET)


Research covers theory, simulation, emulation, and implementation. Techniques from information theory, coding theory, game theory, control theory, statistics, data analytics, and large system asymptotics play a prominent role. Problem formulations are guided by modern applications such as data centers, peer-to-peer computing, social networks, control over wireless networks, and their needs, such as privacy and security, incentives and mechanism design. Research activities also span systems biology, DNA and RNA sequence reconstruction, and MRI. Fundamental work on some of the core problems of information theory, networking, data compression, coding, and multi-user communications, as well as algorithm and protocol design, and system-wide policy considerations in large scale deployments of communication infrastructures are all areas of active research.


  • Wireless and Sensor Networks

    Architectures and protocols for ad-hoc, mobile and vehicular networks. Multiple antennas. Opportunistic communication, cognitive radio, and spectrum sharing. Distributed source coding. Distributed estimation. Spatial sampling.

  • Network Design and Analysis

    Market-based architectures. Incentive compatibility. Auction design. Peer-to-peer networks. Quality of Service. Communication for control. Cross-layer optimization. Network coding. Simulation tools. Privacy and Security.

  • Implementation

    Energy-efficient transceivers. Ultra low-energy wireless sensors. Communication system/circuit co-design. Control over wireless. Sequence reconstruction algorithms, Magnetic resonance imaging.

Research Centers