Christian Rohlfing

Dr.-Ing. Christian Rohlfing is a Researcher at the Institute of Communications Engineering, RWTH Aachen University. His work spans genomic data compression, audio source separation, and video coding.

Rohlfing’s research focuses on efficient genomic sequence compression using entropy coding, context-based methods, and standardization within MPEG-G. He also advances point cloud compression via graph transforms and adaptive entropy coding, and audio/video coding with non-negative matrix factorization (NMF), dictionary learning, and convolutional neural networks (CNNs).

His publications (2011–2023) reflect expertise in signal processing for multimedia and bioinformatics, with applications in spatial audio coding, informed source separation, and gene variation compression. Rohlfing contributes to international standards like ITU-T and ISO/IEC MPEG, particularly in Versatile Video Coding (VVC) and MPEG-G for genomic data.