Current Research Interests

Streaming codes for low-latency communication,
Codes for distributed storage,
Polar codes,
Coded computation including coded block chains.


Our research is currently focused on the development of packet-level Forward-Error-Correction Schemes for Low-Latency Communication. Specifically, we are currently investigating schemes that allow for recovery from packet erasures under a strict decoding delay constraint. For example, we may insist that the Jth packet be recovered by the time the (J +10)th packet arrives. Such schemes are of interest in 5G applications such as vehicle-to-infrastructure or vehicle-to-vehicle communications. Other applications include augmented reality, virtual reality, multiplayer gaming, and telesurgery. Our prior work in the area has resulted in a student paper that was a finalist for the IEEE ISIT Jack Wolf Best Student Paper Award for 2019 as well as a Qualcomm Innovation Fellowship. Apart from posing many theoretical challenges within coding theory, we are interacting with industry and TSDSI representatives to make sure that our research stays as relevant to practice as possible.