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  • CV: MSc Communications Engineering and Signal Processing

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    Personal information
    Contact information
    Candidate Profile
     Date Submitted:28-12-2011
     Last Modified:03-01-2012 (04:24)
    Job information
     Current job:MSc Communications Engineering and Signal Processing
     Employment Term:Permanent
     Job location:Anywhere
     Date available:within a month
     Industry:Satellite Manufacturers and Subcontractors, Satellite Operators, Launch Systems, Consulting/Engineering Services
     KeywordsMSc Telecommunication Engineer who is looking for a good job

    Nationality: Spanish.



    2011 – Present (finishing January 2012)

    MSc Communications Engineering and Signal Processing.

    Plymouth University (UK),       

    MSc Dissertation: “Analysis of the harmonic spectra of magnetic wire response for non-destructive evaluation of composite structures.” See below for further details.


    2003 – 2010

    High Telecommunications Engineering (Radio communications and Signal processing specialties).

    University of Vigo (Spain),

    Final Thesis: “Design and evaluation of high robust methods for iris recognition.See enclosed document for further details.

    Thesis qualified with Honours (10). Final thesis Research Award 2010 by Diputación de Pontevedra (regional council).




    Training Course “Implementation and Designof Signal Processing Systems on FPGAs”. University of Vigo.

    Implement and design signal processing systems on FPGAs with the help of Matlab.


    Complementary course “Measurement and certification of Radio Stations.” University of Vigo.

    Measure and certificate the power transmitted by radio and mobile stations according to the European regulations.



    ·  Spanish, Galician: Native.

    ·  English: Advanced.

    ·  Portuguese, French: Medium.


    Technical skills

    Signal processing, Image processing, Electronics, Radio communications, Radio waves propagation and systems, Microwaves, Coding, Aerials, Computer Networks, TCP/IP, Radio and Optics communications, Machine learning.


    Computer and programming skills

    Linux, Windows, C++, C, Matlab, Simulink, Mathcad, Microsoft Office, Open Office, GPIB, Cisco IOS, Assembler languages.


    Social and organizational skills and competences.

    ·  Capacity of cooperate and integrate with work teams

    ·  Good adaptation to multicultural environments.

    ·  Well-developed analytical skills, unrestricted work capacity, accustomed to making decisions.

    ·  Actively seek to assume new challenges and responsibilities.

    ·  Capacity to work under pressure.

    ·  Ability to lead.

    ·  Willing to travel


    Additional Information

    ·  Spanish Car Driving licence.

    ·  Personal interest: Reading, Travel, Origami, Plants, Sports (Tennis, Swimming, Basketball)

    ·  References available (See enclosed document)

    ·  English IETLS certificate 6.5.

    ·  IET member.

    Enclosed document



    2011 – Present (finishing January 2012)

    MSc Communications Engineering and Signal Processing.

    School of Computing and Mathematics

    Plymouth University (UK),       

    MSc Dissertation: “Analysis of the harmonic spectra of magnetic wire response for non-destructive evaluation of composite structures.

    The advancement of new composite materials with sensing properties that allow to obtain information on its current state are in high demand nowadays for structural evaluation and rehabilitation. Many structural failures are caused by stress and temperature related problems, such as formation of cracks, voids, deformation of the materials, etc. The development of new sensor materials permitting continuous condition monitoring (stress, strain, temperature, corrosion, etc.) is an important aspect to check and verify the health of structural components. Thus, miniature sensing systems are required to be bounded into a material without affecting its structural integrity. In this project, a new type of sensor made from ferromagnetic wires with linear with saturation and bi-stable response will be studied. When they are under certain conditions, as described above, the spectra response will change quickly allowing to obtain information of the state of the material. These wires will benefit from low cost, very high sensitivities at low concentrations (the harmonic spectra will change when subjected under stress or temperature effects), consistency with structural integrity due to its small dimensions (the total diameter of the wire is less than 50 microns) and low content and remote wireless monitoring using microwave scanning techniques at low energy (allowing, for example, its use in large-scale applications in civil structures in an easy and simple way).


    2003 – 2010

    High Telecommunications Engineering.

    High Technical School of Telecommunication engineers.

    University of Vigo (Spain),

    Final Thesis: “Design and evaluation of high robust methods for iris recognition.

    The human beingpossesses characteristics, both physical and behavioral, that makes it unique and allows their distinction and the iris is one of them. The iris is the colored membrane which is located in the eye. It is unique for each person and rarely changes with time. Almost all existing algorithms divide the recognition task in three stages: pre-processing, normalization and coding. The pre-processing stage is responsible for separating the iris from the rest of the image, making use of various image processing techniques. These techniques vary from one algorithm to another and are critical to the proper functioning of the overall system, and hence the pre-processing is usually the most important stage of iris recognition. The normalization stage is almost generic for all algorithms and normalizes the iris to a certain size by a change of coordinates, in order to be used in the next stage. Finally, the coding tries to extract characteristics from the iris that will allow to identify the person later. The main problem with most of the algorithms is that they work with ideal images, that is, they have a constant light, the noise level is negligible, there are no reflections in the iris, the eyelids and eyelashes do not bother, etc. However, the reality is very different.

    In this project Idesigned and evaluated an algorithm that worked well both as non-ideal ideal images, focusing primarily on the pre-processing stage.




    Professor Larissa Panina

    School of Computing and Mathematics (Faculty of Science and Technology)

    Room A317, Portland Square, Drake Circus, Plymouth, Devon, PL4 8AA



    Professor Paul Reynolds

    School of Computing and Mathematics (Faculty of Science and Technology)

    Centre for Security, Communications and Network Research (CSCAN)

    A320, Portland Square, Drake Circus, Plymouth, Devon, PL4 8AA


    Nick Fry – Research officer.

    A320, Portland Square, Drake Circus, Plymouth, Devon, PL4 8AA



    Professor Iván Area Carracedo

    Despacho D-214 – Departamento de Matemática Aplicada

    ETSI de Telecomunicación de Vigo


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