Gabriel Kasmi

Gabriel Kasmi



Welcome

I am a researcher and entrepreneur working at the intersection of deep learning, remote sensing, and energy systems. My work focuses on rooftop photovoltaic (PV) mapping from aerial imagery — I developed DeepPVMapper, a system that has mapped ~500,000 rooftop PV installations across France and enabled the audit of RTE's grid connection data. My methodological contributions include work on explainable AI published at ICML and computer vision applied to Earth observation.

I am now co-founding a deeptech startup commercializing this technology to help installers, grid operators, and energy market participants make better decisions with better data.

Working in solar energy, grid operations, or energy data and want to explore how PV mapping intelligence can help you? Get in touch.

Bienvenue

Je suis chercheur et entrepreneur à l'interface du deep learning, de la télédétection et des systèmes énergétiques. Mes travaux portent sur la cartographie des installations photovoltaïques (PV) sur toiture à partir d'imagerie aérienne — j'ai développé DeepPVMapper, un système qui a cartographié ~500 000 installations PV en France et a permis l'audit des données de raccordement de RTE. Mes contributions méthodologiques incluent des travaux sur l'IA explicable publiés à ICML et en computer vision appliquée à l'observation de la Terre.

Je co-fonde aujourd'hui une startup deeptech qui commercialise cette technologie pour aider installateurs, gestionnaires de réseau et acteurs du marché de l'énergie à prendre de meilleures décisions grâce à de meilleures données.

Vous travaillez dans le solaire, la gestion de réseau ou les données énergétiques et vous voulez explorer comment l'intelligence cartographique PV peut vous aider ? Contactez-moi.

News

Highlights:
Past events:
  • November 2025 I gave a talk on our latest work on how to use remote-sensing to audit rooftop PV registries at the JournĂ©es Nationales du Photovoltaique (JPNV) in Strasbourg.
  • September 2025 I presented a poster on our latest work on how to use remote-sensing to audit rooftop PV registries at the AI+Environnement Summit in Zurich (remote).
  • September 2025 I presented our work on the reliability of deep learning models for rooftop PV mapping (access the paper here ) at the ML4SPS workshop at ECML-PKDD in Porto.
  • August 2025 We submitted our work on PV observability to Applied Energy. Access the preprint here.
  • June 2025 A new preprint reviewing the literature on the socio-economic factors of rooftop PV adoption is available here. This review was written by Sarah Mehiyddine during her internship with us at RTE.
  • May 2025 Our paper "One Wave To Explain Them All: A Unifying Perspective On Feature Attribution" has been accepted to ICML! Access the paper here.
  • April 2025 Our latest publication, enriching our initial workshop paper on how to combine XAI methods to improve the reliability of rooftop PV mapping algorithms, has been published in Environmental Data Science! You can access it here.
  • April 2025 PyPVRoof is now available on PIP ! You can see it here. The documentation is available here.
  • April 2025 I participated to the workshop De meilleures donnĂ©es solaires pour booster le photovoltaĂŻque organized by the IPSL where I presented our latest results on rooftop PV observability.
  • February 2025Sarah Mehiddine started her 6 months end-of-study internship with us!
  • January 2025 The manuscript thesis is accessible! It can be accessed here.
  • December 2024 My PhD has been awarded the TTI 1.5 label by the Transition Institute (TTI 1.5)! The working paper summarizing my work is accessible here or in the research section.
  • September 2024 My research is featured in Le Journal du Photovoltaique. The article is accessible here.
  • August 2024 The last paper of my PhD thesis, Remote-Sensing-Based Estimation of Rooftop Photovoltaic Power Production Using Physical Conversion Models and Weather Data has been published in Energies ! You can access it here
  • May 16th-17th, 2024: I participated to the doctoral workshop AI for the Sciences of PSL University.
  • April 5th, 2024: I defended my PhD thesis.
  • 15th February 2024: I presented my PhD work at the PitchYourThesis event of Entrepreneur First in Paris
  • Dec 16th, 2023: I presented posters to the NeurIPS workshops Tackling Climate Change with Machine Learning and XAI in action. Access the papers in the research section.
  • 5th December 2023: I presented my PhD work at the 2nd AI4Climate Meetup
  • November 2023: I presented my PhD work to students of the "MIG Solaire" course of Mines Paris
  • October 2023: I presented my PhD work to students from the "Geostat" curriculum of Mines Paris
  • June 2023: I gave an oral presentation at the 7th International Conference Energy and Meteorology in Padova.
  • March 2023: I gave a talk at the Solar Winter School in Sophia-Antipolis
  • February 2023: I will be supervising 1st year Mines Paris students for their computer science project (defense: July 2023)
  • January 2023: Our paper BDAPPV has been published in Scientific Data. The paper is accessible here.
  • October 2022: I will be supervising 2nd year ENSAE students for their applied statistics projects (defense: May 2023)
  • September 2022: I participated to the MACLEAN Workshop at ECML-PKDD 2022 in Grenoble. Access the paper in the research section.
  • September 2022: I attended the PhD Forum at ECML-PKDD in Grenoble
  • July 11th-12th, 2022: I attended the 4th symposium of the Madics in Lyon
  • July 5th, 2022: I presented my PhD work at the MACLEAN Workshop at CAp/RFIAP in Vannes.
  • March 2022: I presented my PhD work at the IEA-PVPS Task 16 experts meeting in Sophia-Antipolis
  • March 2022: Yann TrĂ©menbert started his 6 months end-of-study internship with us!
  • November 2021: I participated to the 3rd SophIA Summit in Sophia-Antipolis.
  • February 2021: Asso BDPV Launched a crowdsourcing campaign to construct a training database for mapping PV installations! Access the crowdsourcing platform here!
  • October 1st 2020: I started my PhD thesis at Mines Paris - PSL and RTE.


Curriculum and current position

My full CV (update: June 2025) is accessible here.

Current position

Since late 2025, I am fully focused on launching a deeptech startup building aiming to turn the tools devevelopped during my PhD and Postdoctoral work into actionable intelligence for the solar industry.

Past positions:

Curriculum