Network Coding
This research investigates theory and practical algorithms for combinining network coding with existing source/channel coding, and network protocols to deliver data effectively over wireline and wireless networks. In particular, we take a case study approach in which, the representative research projects in wireline and wireless networks will be investigated for the potential benefits of network coding.

Admission Control
In this research, we investigate different admission control schemes and MAC protocols to support QoS for single hop and multi-hop wireless networks. To be useful, we aim to develop admission control schemes and MAC protocols that require minimal change to the existing IEEE 802.11 standards.

P2P Networks
Recent development of Peer-to-Peer (P2P) technologies has lead to many cost effective and highly scalable systems for content distribution and multimedia streaming. That said, building P2P networks for efficient data dissemination, streaming, and searching are challenging. In this research, we investigate topologies and protocols for fast data dissemination, fast content search, robustness to peer failure, and peer incentive to join the network.

Video Streaming
In this research, we investigate the path diversity framework in conjunction with source and channel coding techniques to overcome the lack of QoS on the Internet in order to faciliate high quality video streaming. Having multiple paths is in essence a diversification scheme in that it combats unpredictability of congestion in the Internet.

Sensor Networks
In this research, we study the algorithms and coding techniques for energy efficiency, robustness, accurate localization and collection in sensor networks.

Secure Image Processing
In this research, we aim at developing a computing framework so that distrusted parties on a network can keep their imagery data private but at the same time collaborate with each other on a distributed image processing task.

Stochastic ADC
In this research, we investigate a novel ADC architecture that is optimized for a given input signal's statistics. The new robust data-optimized stochastic flash (RDSF) ADC achieves robustness and high accuracy by employing (a) a large number of 1-bit quantizers operating in parallel with an additive noise and (b) a novel probability density transform (PDT).