Graduate School and Research Center in Digital Sciences


Eurecom - Communication systems 
04 93 00 81 37
04 93 00 82 00


  • She is currently Assistant Professor within the Department of Communications systems where she teaches Coding Theory and the Fundamentals of Optimization.

My courses

  • Coding / Spring 2018 - Chanel coding theory

    • In today's communications world channel coding underlies the physical layer of all major communication systems. For example: algebraic block coding (Reed-Solomon codes) are used in the CD and DVD standards, convolutional codes are widely used in wireless systems such as GSM,IS-95 and LANs (IEEE 802.11), trellis coded modulation is used in line modems and low-density parity check codes (LDPC) will be used to combat packet losses in future internet content distribution networks.
    • This course provides an introductory but thorough background in modern coding theory and covers both classical coding theory (block and convolutional codes), coding for bandlimited channels (Coded Modulation) and the modern theory of randomlike codes with iterative decoding (LDPCs, Turbo Codes).

  • Optim / Fall 2017 - Fundamentals of Optimisation


    Optimization is broadly applied to many technical and non-technical fields and  provides a powerful set of tools for the design and analysis of communication systems and signal processing algorithms. This course addresses basic concepts of optimization and will introduce EURECOM students to fundamental concepts as duality and KKT conditions, widely utilized optimization techniques as linear and geometric programming and unconstrained optimization algorithms,  but also to more advanced convex optimization techniques, which have been widely applied in wireless communications nowadays, such as second order cone programming and semidefinite programming.

    Special emphasis is devoted to exemplify applications of optimization techniques to telecommunications problems with the objective of  developing skills and background necessary to recognize, formulate, and solve optimization problems.

    Teaching and Learning Methods : Lectures supported by explicative exercises and dedicated exercise sessions

    Course Policies : Attendance to exercise session is not mandatory but highly recommended.