The research of the Coding and Communications Research Laboratory (CCRL) is focused on analysis and design of error-resilient and efficient schemes of error-correcting codes, post-quantum cryptography, and machine/deep learning. Especially, we have been working on various aspects of signal processing techniques for communication, storage, radar, cryptographic, and deep learning systems. Recently, we have been working on the following four main research topics.

We have designed and analyzed various error correcting codes such as Turbo and LDPC codes for cellular communication systems and SC-LDPC and Polar codes for 5G systems. We have been also working on the error correcting codes for memories such as NAND Flash memory and DRAM.

We have analyzed various PQC schemes based on lattice.

We have studied and applied machine-learning/ Deep-learning techniques to many applications such as decoding and detection of error-correcting codes and radar signal processing. Our fundamental interests in machine learning/ Deep-learning is to understand the exact mechanism of various learning systems and derive the guideline for designing proper machine learning/ Deep-learning systems.

We have been designing signal processing algorithms for improving the performance of various radar systems. Specifically, we have studied and designed military radar systems for detecting/tracking very fast moving targets and autonomous vehicle radar systems to cope with various unexpected circumstances.