• Multiuser information and coding theory

  • Information theoretic security

  • Communication theory

  • Information theory and statistics

  • Communication networks

Our research is in the field of multiuser information theory and coding. It deals with the study of probabilistic models for compression of multiple signals, reliable transmission among several users and secure communication. The main objectives are characterizations of the fundamental limits of performance, and analysis of coding, modulation and signal processing techniques for attaining this performance. Applications lie in a variety of communication networks.

Our current research focuses on understanding how in certain multiterminal system models, correlation among the signals at network terminals can be exploited, through managed cooperation, in designing efficient methods for signal sampling, compression, transmission and assuring information security. Provable limits of performance and techniques for achieving them are analyzed.

Specific research projects include: sampling-quantization-distortion tradeoffs in statistical inference for random field models; connections between common randomness generation by multiple terminals, network secret key generation and secure function computation; database privacy; and reliable communication over hybrid radio frequency and free space optical communication systems.

See: Communication, Control and Signal Processing Seminar

Selected Publications