Prof. Dr. Muriel Médard

Research Priorities: Network coding, information theory, wireless networks, optical networks
Muriel Médard is an information theorist and electrical engineer. Her research interests cover the fields of network coding and reliable communication, especially for optical and wireless networks. Her work on the Guessing Random Additive Noise Decoding (GRAND) algorithm, a universal decoder, is considered a breakthrough in the research of different codes’ behaviour and makes it possible to directly incorporate encryption into error-correcting code.
Muriel Médard is considered a network pioneer and is increasingly interested in the development of decoders using GRAND. These decoders use knowledge about white noise statistics to their advantage, for example for incorporating network coding in network protocols and their use for the development of new security tools, especially for post-quantum cryptography.
With the algorithm developed by Murial Médard, it is possible to investigate the behaviour of various codes, from random linear codes to a cyclical redundancy check (CRC) and cryptographic processes such as encryption method AES (Advanced Encryption Standard). GRAND facilitates an optimal decoding process regardless of code. Data protection can be improved even in unsecured environments with the combination of machine technology learning and coding.