Our focus is on understanding the foundations and techniques for information processing in networked sensory systems. Such systems perform tasks that involve reliable communication and distributed computation in the presence of constraints such as severely limited energy, channel noise, interference, and malicious jamming. For applications as diverse as wireless sensor networks and cognitive functions in organisms, we are investigating the fundamental bottlenecks that determine the maximum amount of insight that can be provided by a sensing modality.

• Sensing reality and communicating bits: A dangerous liaison
• Arbitrarily varying channels and interference in networks
• Computation over multiple-access channels
• Spectrum sharing between cognitive radios and primary legacy systems
• Significance of feedback in networks

• In April 2009, we co-organized a workshop on Distributed Signal Processing and Consensus Gossiping together with Anna Scaglione and Martin Vetterli at ICASSP 2009, Taipei, Taiwan, April 19-24, 2009.
• In February 2007, we co-organized a workshop on Emerging information-theoretic measures and methods in neuroscience

• NSF CAREER
• NSF ITR
• NIDCD (NIH)
• ARO MURI
• NSF NeTS-ProWin
• NSF Theoretical Foundations
• NSF Cyber-Enabled Discovery and Innovation