题目：Recent Advances on Coding for DNA Storage
地址：ZOOM会议ID 629 6323 5434 密码121020
摘要：DNA-based storage has attracted significant attention due to recent demonstrations of the viability of storing information in macromolecules. Given the trends in cost decreases of DNA synthesis and sequencing, it is estimated that within the next decade DNA storage may become a highly competitive archiving technology. This technology introduces new challenges in finding coding solutions to address various problems associated with the implementation of DNA-based storage systems. This talk will review the main ideas of recent coding methods and techniques of advanced coding schemes that are specifically targeted for the unique structure and error behavior of DNA-based storage systems. These problems will focus on the design of codes for clustering, trace-reconstruction techniques, error-correction codes, and constrained codes. These families of codes are most suitable and applicable for long-term storage and recovery of data recorded in DNA, while overcoming the unique challenges associated with the synthesis, storage, and sequencing phases of the DNA storage channel.
主讲人简介：Eitan Yaakobi is an Associate Professor at the Computer Science Department at the Technion --- Israel Institute of Technology. He received the B.A. degrees in computer science and mathematics, and the M.Sc. degree in computer science from the Technion --- Israel Institute of Technology, Haifa, Israel, in 2005 and 2007, respectively, and the Ph.D. degree in electrical engineering from the University of California, San Diego, in 2011. Between 2011-2013, he was a postdoctoral researcher in the department of Electrical Engineering at the California Institute of Technology and the Center of Memories and Recording Research at the University of California, San Diego.His research interests include information and coding theory with several applications to non-volatile memories, distributed storage, and private information retrieval. In particular, his work has been focused on advancing coding solutions for memories and systems and their application in state of the art storage systems. He is also working on next generations memories such as racetrack memories and DNA storage systems.