Tutorials in ISIT Barcelona

ISIT 2016 Tutorials

  • Theoretical Elements of Data Science. Jayadev Acharya (Massachusetts Institute of Technology), Alon Orlitsky (University of California, San Diego), Ananda Theertha Suresh (University of California, San Diego).
  • Theory and Practice of Codes with Locality. Alexander Barg (University of Maryland), Itzhak Tamo (Tel Aviv University).
  • Sparse Regression Codes. Andrew Barron (Yale University), Ramji Venkataramanan (University of Cambridge).
  • Energy Harvesting and Remotely Powered Wireless Networks. Ayfer Özgür (Stanford University), Sennur Ulukus (University of Maryland), Aylin Yener (Penn State University).
  • Quantum Information Theory. Mark M. Wilde (Louisiana State University).

More information about the content and outline of the tutorials in the tutorials webpage.

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