David Solarna

Visiting Scientist at NATO STO-CMRE - Centre for Maritime Research and Experimentation
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Contact Information
us****@****om
(386) 825-5501
Location
Genoa, Liguria, Italy, IT
Languages
  • Italiano Native or bilingual proficiency
  • English Professional working proficiency
Skills

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Bio

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Credentials

  • Probabilistic Graphical Models 3: Learning
    Coursera Course Certificates
    Mar, 2019
    - Nov, 2024
  • Probabilistic Graphical Models Specialization
    Coursera Course Certificates
    Mar, 2019
    - Nov, 2024
  • Probabilistic Graphical Models 2: Inference
    Coursera Course Certificates
    Feb, 2019
    - Nov, 2024
  • Probabilistic Graphical Models 1: Representation
    Coursera Course Certificates
    Feb, 2019
    - Nov, 2024
  • Deep Learning Specialization
    Coursera Course Certificates
    Feb, 2018
    - Nov, 2024
  • Sequence Models
    Coursera Course Certificates
    Feb, 2018
    - Nov, 2024
  • Convolutional Neural Networks
    Coursera Course Certificates
    Jan, 2018
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera Course Certificates
    Dec, 2017
    - Nov, 2024
  • Neural Networks and Deep Learning
    Coursera Course Certificates
    Dec, 2017
    - Nov, 2024
  • Structuring Machine Learning Projects
    Coursera Course Certificates
    Dec, 2017
    - Nov, 2024
  • Machine Learning
    Coursera Course Certificates
    Jun, 2016
    - Nov, 2024

Experience

  • NATO STO-CMRE - Centre for Maritime Research and Experimentation
    • Italy
    • Defense & Space
    • 1 - 100 Employee
    • Visiting Scientist
      • Jun 2022 - Present

      I am currently working with the Modelling and Simulation Team on the design and development of an advanced visualization tool based on virtual reality to provide a user-friendly representation of the large amount of heterogeneous data together with the products generated by artificial intelligence and data fusion algorithms. I am currently working with the Modelling and Simulation Team on the design and development of an advanced visualization tool based on virtual reality to provide a user-friendly representation of the large amount of heterogeneous data together with the products generated by artificial intelligence and data fusion algorithms.

  • University of Genoa
    • Italy
    • Research Services
    • 100 - 200 Employee
    • Research Fellow
      • Feb 2021 - Jun 2022

      My research covers data fusion and machine learning methods applied to remote sensing and sonar data. I am working within the "Climate Change Initiative Extension - High Resolution Land Cover" ESA project and within the "PNRA AMORS - Acoustic Monitoring of the Ross Sea" project. My research covers data fusion and machine learning methods applied to remote sensing and sonar data. I am working within the "Climate Change Initiative Extension - High Resolution Land Cover" ESA project and within the "PNRA AMORS - Acoustic Monitoring of the Ross Sea" project.

  • NATO STO-CMRE - Centre for Maritime Research and Experimentation
    • Italy
    • Defense & Space
    • 1 - 100 Employee
    • Research Fellow
      • Dec 2020 - Dec 2020

      I have worked within the Data Knowledge and Operational Effectiveness Team on the development of deep learning methods applied to sequence-to-sequence translation problems for the prediction of vessel trajectories. I have worked within the Data Knowledge and Operational Effectiveness Team on the development of deep learning methods applied to sequence-to-sequence translation problems for the prediction of vessel trajectories.

  • University of Genoa
    • Italy
    • Research Services
    • 100 - 200 Employee
    • Ph.D. Program
      • Nov 2017 - Nov 2020

      My research topics cover data fusion, with particular focus on multi-sensor image registration, pattern recognition, advanced statistics and image processing applied to remote sensing data. My research topics cover data fusion, with particular focus on multi-sensor image registration, pattern recognition, advanced statistics and image processing applied to remote sensing data.

  • NATO STO-CMRE - Centre for Maritime Research and Experimentation
    • Italy
    • Defense & Space
    • 1 - 100 Employee
    • Research Fellow
      • Sep 2019 - Nov 2019

      I have worked within the Modelling and Simulation Team on the design and development of an advanced visualization tool able to represent heterogeneous data collected by different sources, possibly at different times, for supporting maritime operations. I have worked within the Modelling and Simulation Team on the design and development of an advanced visualization tool able to represent heterogeneous data collected by different sources, possibly at different times, for supporting maritime operations.

  • NATO STO-CMRE - Centre for Maritime Research and Experimentation
    • Italy
    • Defense & Space
    • 1 - 100 Employee
    • Research Fellow
      • Jun 2018 - Aug 2018

      I have worked within the Modelling and Simulation Team of NATO STO CMRE, where my research activity was focused on the definition of a virtual and augmented reality framework for the enhancement of the situational and spatial awareness of C2 operators in the maritime domain. I have worked within the Modelling and Simulation Team of NATO STO CMRE, where my research activity was focused on the definition of a virtual and augmented reality framework for the enhancement of the situational and spatial awareness of C2 operators in the maritime domain.

  • NATO STO-CMRE - Centre for Maritime Research and Experimentation
    • Italy
    • Defense & Space
    • 1 - 100 Employee
    • Research Fellow
      • May 2017 - Dec 2017

      I have worked within the Modelling and Simulation Team of NATO CMRE, where my research activity was focused on interoperable simulations based on the High Level Architecture (HLA) standard integrated with Autonomous Underwater Vehicles (AUVs). I have worked within the Modelling and Simulation Team of NATO CMRE, where my research activity was focused on interoperable simulations based on the High Level Architecture (HLA) standard integrated with Autonomous Underwater Vehicles (AUVs).

  • NASA Goddard Space Flight Center
    • United States
    • Defense & Space
    • 700 & Above Employee
    • Researcher Internship
      • Sep 2016 - Dec 2016

      I have worked within the Software Engineering Division on the development of a novel method for the automatic detection of craters in planetary images and for the registration of such images based on the contour features associated with the extracted craters. The crater detection algorithm is methodologically based on a Marked Point Process model optimized through a Markov chain Monte Carlo method coupled with a Simulated Annealing scheme (multiple birth-death approach). The registration method is based on the optimization of Hausdorff distance and information-theoretic functionals. Show less

Education

  • University of Genoa
    Master of Science (M.Sc.), Multimedia Signal Processing and Telecommunication Networks
    2014 - 2016
  • University of Genoa
    Bachelor of Science (B.Sc.), Electronic and Information Technology Engineering
    2011 - 2014

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