Professor Muriel Médard, along with collaborators Arslan Riaz (Boston University, USA), Amit Solomon (Massachusetts Institute of Technology, USA), Furkan Ercan (Boston University, USA), Rabia T Yazicigil (Boston University, USA), and Ken R. Duffy (Northeastern University, USA), are honored to received the Best Demo Award for their demo “Noise Recycling using GRAND for Improving the Decoding Performance” at the 2023 IEEE COMSNETS conference.

COMSNETS is an international conference dedicated to advances in Networking and Communications Systems. The conference is a yearly event for a world-class gathering of researchers from academia and industry, practitioners, and business leaders, providing a forum for discussing cutting edge research, and directions for new innovative business and technology. The conference includes highly selective program consisting of submitted papers, a small set of invited papers on important and timely topics from well-known leaders in the field, and poster session of work-in-progress. Further information regarding the 2023 IEEE COMSNETS awards can be found here.

More information about the topic covered within the award-winning demo, the GRAND (Guessing Random Additive Noise Decoding) method can be found here: