I - Information Systems

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  • Muriel Medard has collaborated with several colleagues to examine the use of two dominating information theories used in today's vast and growing transmission of data while both avoiding noise and demonstrating how to determine the capacities of networks. Medard, California Institute of Technology's Michelle Effros and the late Ralf Koetter of the University of Technology in Munich have addressed some of the toughest issues in a two part paper published recently in IEEE Transactions on Information Theory.
  • Muriel Médard, professor of electrical engineering and computer science in the MIT EECS Department and principal investigator in the Research Laboratory of Electronics (RLE) at MIT, has been awarded, with co-authors Josu Bilbao, Aitor Calvo, Igor Armendariz, and Pedro Crespo, the Best Paper Award for their work “Reliable Communications with Network coding in narrowband Powerline Channel.” They presented this work at the IEEE International Symposium on Power Line Communications and its Applications (ISPLC 2014) in Glasgow in March. Read more.
  • Muriel Médard has been appointed as the Cecil H. Green Professor of Electrical Engineering and Computer Science. In announcing this appointment, Department Head Anantha Chandrakasan shared the following message with his EECS colleagues.
  • Today, March 12, 2014, marks the 25th anniversary of Tim Berners-Lee's proposal for managing general information about accelerators and experiments at CERN, the European Organization for Nuclear Research based in Geneva where Berners-Lee worked at the time as a software engineer. He proposed building a distributed (global) hypertext system which he initially called "Mesh" updating it a year later to the "World Wide Web" as he wrote the code. Read more.
  • Professor Alan Willsky, has been selected to receive the 2013 SPS Society Award of the IEEE Signal Processing Society (SPS). Willsky is the Edwin Sibley Webster professor of electrical engineering and computer science and director of the MIT Laboratory for Information and Decision Systems (LIDS) at MIT. Read more.
  • Using artificial intelligence tools including probabilistic graphical models, Ying Liu, EECS graduate student working with Alan Willsky, EECS professor and director of the Laboratory for Information and Decisions Systems (LIDS) has developed a technique that can efficiently infer vital information about the propagation of flight delays at U.S. airports. Liu and Willsky will present their work, which has potential application to a wide range of areas, at the Neural Information Processing Systems Foundation in early December. Read more.

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