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Sat, 29 Feb 2020 00:25:10 +0000
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Thu, 27 Feb 2020 12:22:07 +0000
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Thu, 27 Feb 2020 05:16:43 +0000
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Wed, 26 Feb 2020 20:23:51 +0000
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Wed, 26 Feb 2020 18:05:42 +0000
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Wed, 26 Feb 2020 16:31:12 +0000
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Wed, 26 Feb 2020 12:04:11 +0000
NASA is asking companies in its commercial lunar landing services program to bid on delivering a NASA rover whose launch has been slightly delayed.
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    Personal information
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    Candidate Profile
     Date Submitted:16-07-2018
     Last Modified:17-07-2018 (06:28)
    Job information
     Current job:Project Engineering Manager
     Employment Term:Permanent
     Job location:Europe only
     Date available:within 2 months
     Industry:Civil Agencies/International Organizations, Satellite Manufacturers and Subcontractors, , , Launch Systems, Consulting/Engineering Services
     KeywordsData analysis, hyperspectral image processing, project engineering manager, infrared systems, infrared search and track, airborne surveillance systems, algorithm design, target detection, anomaly detection

    System engineer, Leonardo S.P.A, Defence Division


    Work experience

    Project Engineering Manager                   Dec 2017 – current

    Leonardo S.p.A., Defence Division

    PEM of AIDA, an IR (InfraRed) search and track (IRST) avionic imager: (i) definition of Acceptance Test Procedure (ATP), (ii) environmental requirements validation, (iii) data processing for performance assessment, (iv) managements of engineering change requests.


    Data analyst                    Dec 2016 – Nov 2017

    Leonardo S.p.A., Defence Division

    IR imagers laboratory data analysis for IR systems performance assessment:  measurements for electro-optical parameters estimation by varying ambient temperature (NETD, RNU, dynamic range, responsivity, cold shield efficiency, SNR).


    Hyperspectral data processing engineer               Oct 2014 – Nov 2016

    Altran Italia S.p.A.

    Development of a real-time processing architecture for hyperspectral data exploitation performing: (i) anomaly detection, (ii) target detection and (ii) classification of areas and targets invariant to the atmospheric conditions.


    PostDoc Researcher                         Jan 2012 – Sep 2014

    University of Pisa, Department of Information Engineering

    Analysis and improvement of hyperspectral image processing algorithms for anomaly and target detection. Project founded and coordinated by Leonardo S.p.A.


    PhD Student                        Jan 2009 – Dec 2011

    University of Pisa, Department of Information Engineering

    Development of IR image processing algorithms: scene-based non-uniformity correction and background removal for target detection algorithms.



    PhD     Remote Sensing, University of Pisa, admitted                  April 2012

    Thesis: “Infrared image processing for automatic target detection”

                Topic: IR image pre-processing for performance improvement of target detection


    MS      Telecommunications Engineering, University of Pisa                June 2008

                Thesis: “Scene-based non-uniformity correction for infrared focal plane arrays”

                Topic: mitigation of IR detectors’ non-uniformity using data collected from the scene

                Score: 110/110 cum laude


    BS       Telecommunications Engineering, University of Pisa          December 2005

                Thesis: “Pulse compression radar”

                Topic: performance comparison of pulse compression radar techniques.

                Score: 105/100



    Italian: Native language

    English: Advanced listening, speaking, writing and reading


    Computer Skills

    Programming: Matlab (well-experienced), C/C++, Python, R, IDL (basics)

    Common applications: Office tools, e-mail clients, LaTex, SAP

    Speciliazed applications: ENVI, ModTran, Hydrolight,  TRM4, NVTherm, FLIR 92

    Platforms: Windows, Linux Ubuntu


    Other  Skills

    Data analysis: signal processing (filter design and analysis, transform theory, time-frequency analysis), image processing (dimensionality reduction, object detection and classification, feature extraction).

    Mathematics: linear algebra, statistics, optimization methods.

    Electro-optical: noise estimation, non-uniformity correction and calibration, defective pixels

    Physics: geometrical optics, radiative transfer models, remote sensing.


    Other  Experience

    Given talks: Tutorial on IR image processing, Naval Research Laboratory (NRL) @ Stennis Space Center, MS, USA, held on 04.2011

    Conference attendance: papers presented at SPIE Remote Sensing conferences from 2009 to 2014

    Measurement campaigns: (i) on field: data collection aimed at developing algorithms, (ii) in laboratory: measurements to assess IR systems performance

    Professional service: peer-review activity for SPIE Optical Engineering and Journal of Applied Remote Sensing




    Google Scholar resume (updated to 15/07/2018)

    No. of quotes = 162

    H-index = 8



    Prof. Marco Diani

    Ing. Aldo Riccobono

    Full Professor

    Senior analyst

    Naval Academy of Livorno, Livorno

    Leonardo S.p.A.



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