Wireless Networks & Mobile Computing

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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.
  • MegaMIMO system from the Computer Science and Artificial Intelligence Lab speeds data transfer by coordinating multiple routers at the same time.
  • New design should enable much more flexible traffic management, without sacrificing speed.
  • System from MIT’s Computer Science and Artificial Intelligence Lab enables single WiFi access point that can locate users within tens of centimeters.
  • Li-Shiuan Peh, associate professor of electrical engineering and computer science, receives professorship from the Singapore-MIT Alliance for Research and Technology.
  • MacArthur Fellow Dina Katabi, SM ’98, PhD ’03, exploits physical properties of radio waves to make computation more efficient.
  • New network design exploits cheap, power-efficient flash memory without sacrificing speed.
  • A computer vision enabled technology developed by a team of EECS faculty Bill Freeman and Frédo Durand and their students is enabling a new way to identify structural defects in objects. The group will report this latest work at the Conference on Computer Vision and Pattern Recognition in June. Read more.
  • As part of the fall 2014 Assistive Technologies (6.811) class (Principles and Practices in Assistive Technologies, or PPAT), a group of EECS students teamed to develop a new way for residents of the Boston Home to communicate their needs. Since then senior Beth Hadley took on the project as her senior thesis. Read more.

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