Muriel Medard
NEC Professor of Software Science and Engineering
Department
Dept of Electrical Engineering & Computer Science
Technology Areas
Communication Systems: Wireless, Optical / Computer Science: Networking & Signals, Cybersecurity, Quantum Computing / Artificial Intelligence (AI) and Machine Learning (ML) / Environmental Engineering: Sustainability & Recycling / Chemicals & Materials: Nanotechnology & Nanomaterials / Electronics & Photonics: Photonics, Semiconductors, Lasers / Sensing & Imaging: Acoustics, Optical Sensing / Industrial Engineering & Automation: Logistics
Impact Areas
Background and Experience
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 Guessing Random Additive Noise Decoding (GRAND), a universal decoder, is considered a breakthrough in the research of different codes’ behavior and makes it possible to directly incorporate encryption into error‐correcting code.
Technologies
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