Muriel Medard

NEC Professor of Software Science and Engineering
New IP
Department
Dept of Electrical Engineering & Computer Science
Technology Areas
Communication Systems: Wireless / Computer Science: Networking & Signals, Cybersecurity, Quantum Computing / Artificial Intelligence (AI) and Machine Learning (ML) / Environmental Engineering: Sustainability & Recycling / Sensing & Imaging: Acoustics
Impact Areas
Connected World, Uncharted Frontiers, Advanced Materials, Sustainable Future

Technologies

Universal GRAND Decoder

Technology / Case number: #22356J
Kenneth Duffy / Rabia Yazicigil Kirby / Amit Solomon / Vaibhav Bansal / Wei An / Muriel Medard
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Computer Science
Impact Areas: Connected World, Advanced Materials
License

Soft Detection Information for Decoding based on Guessing

Technology / Case number: #20789J
Kenneth Duffy / Muriel Medard
Technology Areas: Communication Systems / Computer Science
Impact Areas: Connected World
License

Noise Recycling

Technology / Case number: #22102J
Kenneth Duffy / Amit Solomon / Alejandro Cohen / Muriel Medard
Technology Areas: Communication Systems / Computer Science / Environmental Engineering
Impact Areas: Sustainable Future, Connected World
License

Decoding via Guessing Noise

Technology / Case number: #20169J
Jiange Li / Kenneth Duffy / Muriel Medard
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Communication Systems / Computer Science
Impact Areas: Uncharted Frontiers
License

Decoding by Guessing Noise II

Technology / Case number: #20215J
Kenneth Duffy / Muriel Medard
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Communication Systems / Computer Science
Impact Areas: Connected World, Advanced Materials
License

Causal Random Linear Network Coding with Selective Repetitions

Technology / Case number: #21342
Derya Malak / Alejandro Cohen / Muriel Medard
Technology Areas: Communication Systems / Computer Science
Impact Areas: Connected World
License

Efficient and Reliable Transmission of Sparse Signals in Wireless Sensor Networks

Technology / Case number: #18468
Georgios Angelopoulos / Anantha Chandrakasan / Muriel Medard
Technology Areas: Communication Systems / Computer Science
Impact Areas: Connected World
License

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