- Clayton Schoeny and Ahmed Hareedy are both selected as the recipients of the prestigious UCLA Dissertation Year Fellowship.
- Ahmed Hareedy is selected to receive Excellence in Teaching Award from the EE Department for outstanding performance as a TA. This highly competitive award is given annually to only a single course TA in the department.
- Fred Sala will augment his best dissertation award with another honor: Fred is selected as one of only two marshals for the campus wide UCLA Doctoral Ceremony. This honor is bestowed upon students with truly outstanding academic records.
Fred is the recipient of the 2016-2017 Outstanding PhD Dissertation in Signals & Systems Award. Congratulations Fred on another outstanding achievement!
We received a best student paper award from the IEEE Data Storage Society for the paper titled “Correcting Grain Errors in Magnetic Media”and authored by Ryan Gabrys, Eitan Yaakobi, and Lara Dolecek. The paper appeared in May 2015 issue of IEEE Transactions on Information Theory.
New journal paper by F. Sala, R. Gabrys, C. Schoeny, and L. Dolecek, and titled “Exact Reconstruction from Insertions in Synchronization Codes,” will appear in IEEE Transactions on Information Theory. The paper offers a closed form solution on the number of insertion-induced traces needed for exact codeword reconstruction, for codewords of synchronization code. Proof heavily relies on combinatorial arguments. The results have applications in domains that study sequence reconstruction from “difficult” channels such as insertions and deletions, as encountered in e.g., phylogenomics.
Fred Sala has successfully defended his PhD in December 2016. Congratulations Fred on an outstanding dissertation!
Our team has grown again — Alex (Zehui) Chen and Prisca (Siyi) Yang have joined LORIS team as new graduate students.
Welcome Alex and Prisca!
2 postdoc positions available in Prof. Lara Dolecek’s research group at UCLA, starting this fall. We are looking for talented students who want to work on one of the following:
1. Coding theoretic methods and algorithms for emerging memories and modern computing systems
2. New algorithms and coding-theoretic techniques for data management (data science)
Both projects are interdisciplinary. Postdocs will be working closely with Prof. Dolecek and a vibrant group of graduate students, and will have the opportunity to collaborate with other researchers and to interact with our industry sponsors.
Strong background in mathematics and interest in interdisciplinary research are required.
Prospective students should contact us via email at
with subject line
[Prospective postdoc interested in LORIS research]
along with their CV and 3 selected publications. Students should plan to arrange for 2 letters of recommendation to be sent to the email address above.
LORIS group recently published 5 new journal articles, on topics ranging from efficient file synchronization (Sala, Schoeny, Bitouze, Dolecek, TCOM, June 2016), to LDPC codes for multi-level Flash and modern HDDs (Hareedy, Lanka, Dolecek, JSAC, Sept. 2016) and (Hareedy, Amiri, Galbraith, Dolecek, TCOM, Aug. 2016), and to spatially coupled codes (Amiri, Reisizadeh, Esfahanizadeh, Kliewer, Dolecek, TCOM, Sept. 2016) and (Esfahanizadeh, Hareedy, Dolecek, TMAG, Jan. 2017). See pubs for the updated list.
LORIS group has two papers at SELSE conference and both papers have received Best-Of-SELSE Award
“Software Defined Error-Correcting Codes” joint work by Mark Gottscho (nanoCAD UCLA), Clayton Schoeny (LORIS), L. Dolecek, and Prof. Puneet Gupta (nanoCAD PI, UCLA)
“A Unified Framework for Error Correction Techniques in On-Chip Memories,” joint work with F. Sala (LORIS), Henry Duwe (UIUC), L. Dolecek, and Prof. Rakesh Kumar of UIUC.
Our monograph is published by Foundations and Trends in Information and Communications Theory, February 2016 issue.
Link to the monograph is here:
Abstract of the monograph:
Non-volatile memories (NVMs) have emerged as the primary replacement of hard-disk drives for a variety of storage applications, including personal electronics, mobile computing, intelligent vehicles, enterprise storage, data warehousing, and data-intensive computing systems. Channel coding schemes are a necessary tool for ensuring target reliability and performance of NVMs. However, due to operational asymmetries in NVMs, conventional coding approaches – commonly based on designing for the Hamming metric – no longer apply. Given the immediate need for practical solutions and the shortfalls of existing methods, the fast-growing discipline of coding for NVMs has resulted in several key innovations that not only answer the needs of modern storage systems but also directly contribute to the analytical toolbox of coding theory at large. This monograph discusses recent advances in coding for NVMs, covering topics such as error correction coding based on novel algebraic and graph-based methods, rank modulation, rewriting codes, and constrained coding. Our goal for this work is multifold: to illuminate the advantages – as well as challenges – associated with modern NVMs, to present a succinct overview of several exciting recent developments in coding for memories, and, by presenting numerous potential research directions, to inspire other researchers to contribute to this timely and thriving discipline.