About me

I am a PhD candidate working on Remote Sensing Visual Question Answering (RSVQA) in Paris. My research is a collaboration between Université Paris Cité and ONERA, aiming to extract meaningful information from both optical and Synthetic Aperture Radar (SAR) images.

I am currently visiting the ECEO laboratory at the EPFL in Sion

My research methods involve the fusion of image features with textual queries, employing techniques such as segmentation and attention mechanisms. The ultimate aim is to produce comprehensive responses by effectively combining visual data from different sensors with the contextual information embedded in the questions.

Beyond remote sensing, I am passionate about different fields in image processing and computer vision, including human behaviour analysis, forensic studies, sports analysis and medical studies. This multifaceted interest caused me to participate in several projects in these areas.

Research Interests

  • design icon

    Remote Sensing

  • Web development icon

    Computer Vision

  • mobile app icon

    Natural Language Processing

  • camera icon

    Image Processing

Daniel lewis
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Daniel lewis

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Affiliations

Resume

Education

  1. PhD in Computer Science

    2022 — 2025 | Université Paris Cité & ONERA

    Thesis Title: Multi-scale fusion for remote sensing visual question answering

  2. Visiting PhD Student

    Aug 2024 — Nov 2024 | EPFL

  3. Master Degree in Computer Science

    2021 — 2022 | Sorbonne Université

    Mention: Très Bien
    Thesis Title: From images to social interactions understanding

  4. Master Degree in Information Engineering

    2020 — 2021 | University of Trento

    Final Grade: 110L/110
    Thesis Title: From images to social interactions understanding

  5. Double European master's degree

    2020 — 2022 | EIT Digital Master School

    Double Master Degree Program

  6. Bachelor Degree in Information and Communication Engineering

    2017 — 2020 | University of Trento

    Final Grade: 108/110
    Thesis Title: Study of the snowpack backscattering anisotropy in optical data acquired by Sentinel-2 satellites

Experience

  1. Assistant Professor

    2022 — Present | Université Paris Cité, Paris

    Advanced programming
    Data science

  2. Research Intern in Image Analysis

    2022 | LIP6 and ISIR, Paris

    Analysis of group interaction and their evolution over time to study the F-formations, prediction of the future speaker, tracking of participants

  3. Data Scientist

    2021 | Gradient0, Wien

    Use satellite images to classify the quality and quantity of grasslands in Australia

  4. Tutor

    2020 - 2022 | University of Trento, Trento

    Calculus 1 at Information Engineering and Computer Science
    Matematics at Economics and Management

  5. Research Intern in Remote sensing for classification of snow grains

    2019 - 2020 | RSLab, Trento

    Goal: Find a way to identify snow grain typology using satellite Sentinel-2
    Creation of a program that finds if snow is new, old, wet or dried written in Python and Javascript
    Use of EO BROWSER, Google Earth Engine&Studio, DaVinci Resolve

My skills

  • Python
  • Matlab
  • C++
  • Javascript
  • HTML

Languages

  • Italian
  • English
  • French
  • Spanish

Talks et al.

Talks

  1. IGARSS - International Conference Centre Megaron Athens, Greece

    July 2024

    Segmentation-guided Attention for Visual Question Answering from Remote Sensing Images [website]

  2. Le Club des chercheurs - CIUP Paris, France

    May 2024

    Demystifying Satellite Images: Sharing Insights Through Visual Question Answering for Natural Disaster Fatality Reduction [website]

  3. EUSAR2024 - Science Congress Center Munich, Germany

    April 2024

    Can SAR improve RSVQA performance? [website]

  4. G2AS’24: Gestion et Analyse des Données Aériennes et Satellitaires - EPITA Paris, France

    April 2024

    Multimodality in RSVQA [website]

  5. Remote Sensing and Climate Meeting - IGN Paris, France

    December 2023

    How visual question answering from remote sensing images can help in the prevention of tragedies due to natural disasters? [website]

  6. ICT Days - DISI Trento, Italy

    April 2023

    DISI Alumni, Success Stories [website]

Teaching

  1. Advanced Programming (TP/TD)

    September - December 2022/2023

    At UFR de Mathématiques et Informatique

  2. Data Science (TP/TD)

    January - April 2023/2024

    At UFR de Mathématiques et Informatique

Courses

  1. InSAR Processing and Analysis (ISCE+) - Virtual

    August 2024

    [website]

  2. Deep Learning optimization for Jeanzay - Paris, France

    June 2023

    [website]

  3. IADF School Computer Vision for Earth Observation - Virtual

    October 2022

    [website]

Projects