S. M. Hossein Tabatabaei Yazdi

This paper introduces a 2D DNA-based data storage system that encodes information in both sequence and backbone structure, using machine learning for error correction and data reconstruction.

This paper proposes a method to store quantized images in DNA using signal processing and machine learning to reduce errors and costs without redundant oligos or rewriting.

This paper presents a DNA-based data storage system that achieves error-free and random-access readouts using MinION sequencers through error correction and addressing techniques.