Spatially-Coupled Codes for Modern Data Storage Systems

Speaker: Homa Esfahanizadeh
Affiliation: Ph.D. Candidate

Abstract: The volume of data continues to rapidly grow as information pours from various platforms. The huge amount of data needs to be transferred and stored with extremely high reliability. Error-correcting codes (ECCs) are an integral part of modern-day communication, computation, and data storage systems in order to safeguard data against the adverse effects of noise and interference. Spatially-coupled (SC) codes are a class of ECCs that have recently emerged as an excellent choice for error correction in modern data storage and communication due to their outstanding performance, low decoding latency, and simple implementation.  An SC code is constructed by coupling several instances of a block code into a single coupled chain.

In my dissertation, we tackle the problem of the finite-length optimized design of SC codes in the context of various channel models. We also increase the coupling dimensionality and present a novel systematic framework to efficiently connect several SC codes and construct multi-dimensional spatially-coupled (MD-SC) codes. The materials presented in my dissertation can be considered as a comprehensive study of finite-length SC codes, and can be used for a variety of settings: regular or irregular, one dimensional or multi-dimensional, and over different channel models.

Biography: Homa Esfahanizadeh is a Ph.D. candidate in the Electrical and Computer Engineering Department at the University of California, Los Angeles (UCLA). She received her M.Sc and B.Sc degrees in Electrical Engineering from the University of Tehran in 2015 and 2012, respectively. Her research interests include coding and information theory, signal processing, graph theory, and machine learning. Homa received the Memorable Paper Award at the 2018 Non-Volatile Memories Workshop (NVMW), in the area of devices, coding, and information theory. In 2018, she also won the 2018-2019 Dissertation Year Fellowship (DYF) at UCLA.

For more information, contact Prof. Lara Dolecek (dolecek.ucla@gmail.com)

Date/Time:
Date(s) - Dec 04, 2019
8:00 am - 10:00 am

Location:
E-IV Tesla Room #53-125
420 Westwood Plaza - 5th Flr., Los Angeles CA 90095