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<!doctype html>
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<h1 class="title">Gabriel Kasmi</h1>
<img src="assets/photo_.JPG" alt="Gabriel Kasmi" class="picture" style="max-width: 80%; height: auto;" />
<p class="icons-center">
<a href="https://scholar.google.com/citations?user=Rt14jucAAAAJ&hl=fr"><i class="ai ai-google-scholar ai-2x"></i></a>
<a href="https://arxiv.org/search/?searchtype=author&query=Kasmi%2C+G"><i class="ai ai-arxiv ai-2x"></i></a>
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<ul>
<li><a href="research.html">Research</a></li>
<li><a href="software.html">Software</a></li>
<li><a href="teaching.html">Teaching and popularization</a></li>
</ul>
<div class="copyright-container">
<p><small>© Gabriel Kasmi / Last update: 01/2025</small></p>
</div>
</header>
<section>
<h2 id="Welcome">Welcome</h2>
<p>
I'm a postdoctoral researcher at Mines Paris - PSL.
I prepared my PhD thesis at <a href="https://www.minesparis.psl.eu/">Mines Paris</a>
(<a href="https://www.oie.minesparis.psl.eu/Accueil/">OIE Center</a>) under the supervision of Philippe Blanc,
Yves-Marie Saint-Drenan and Laurent Dubus.
This PhD was funded by <a href="https://www.rte-france.com/">RTE France</a>,
the French transmission system operator (TSO), and
benefited from the support of the <a href="https://www.anrt.asso.fr/fr/accueil-anrt">ANRT</a>
(CIFRE funding). Click <a href="phd_thesis.html">here</a> for an overview of the work done in the PhD.
</p>
<p>
My research focuses on the reliability and transparency of deep learning algorithms deployed in industrial settings.
My research interests are explainable AI, computer vision and remote sensing. My main case study
is the remote sensing of rooftop photovoltaic installations, so I also made contribution in power systems.
</p>
<h2 id="Bienvenue">Bienvenue</h2>
<p>
Je suis chercheur postdoctoral à Mines Paris - PSL.
J’ai préparé ma thèse de doctorat à <a href="https://www.minesparis.psl.eu/">Mines Paris</a>
(<a href="https://www.oie.minesparis.psl.eu/Accueil/">Centre O.I.E.</a>) sous la direction de Philippe Blanc,
Yves-Marie Saint-Drenan et Laurent Dubus.
Cette thèse a été financée par <a href="https://www.rte-france.com/">RTE France</a>,
le gestionnaire du réseau de transport d’électricité en France (TSO), et
a bénéficié du soutien de l’<a href="https://www.anrt.asso.fr/fr/accueil-anrt">ANRT</a>
(financement CIFRE). Cliquez <a href="phd_thesis.html">ici</a> pour un aperçu des travaux réalisés dans le cadre de cette thèse.
</p>
<p>
Mes recherches portent sur la fiabilité et la transparence des algorithmes
de deep learning déployés dans l'industrie.
Mes thèmes de recherche sont l’IA explicable, la vision par ordinateur
et la télédétection. Mon principal cas d’étude est la télédétection des
installations photovoltaïques sur toiture, ce qui m’a également conduit
à contribuer au domaine des systèmes énergétiques.
</p>
<h2 id="News">News</h2>
<ul>
<li> <strong>January 2024</strong> The manuscript thesis is accessible ! It can be accessed <a href="https://theses.fr/2024UPSLM027">here</a>.</li>
</ul>
<ul>
<li> <strong>December 2024</strong> My PhD has been awarded the TTI 1.5 label by
<a href="https://the-transition-institute.minesparis.psl.eu/en/">the Transtion Institute (TTI 1.5)</a> !
The working paper summarizing my work is accessible <a href="">here</a> or in
the <a href="research.html">research</a> section.
</ul>
<!--
<em>Upcoming events:</em>
<ul>
<li></li>
</ul>
-->
<em>Highlights:</em>
<ul>
<li><strong>April 5th, 2024</strong>: I defended my PhD thesis.</li>
<li><strong>Dec 16th, 2023</strong>: I presented posters to the NeurIPS workshops
<a href="https://www.climatechange.ai/events/neurips2023">Tackling Climate Change with Machine Learning</a>
and
<a href="https://xai-in-action.github.io/">XAI in action</a>.
Access the papers in the <a href="research.html">research</a> section.
</li>
<li><strong>January 2023</strong>: Our paper BDAPPV has beed pulished in Scientific Data. The paper is accessible <a href="https://www.nature.com/articles/s41597-023-01951-4">here</a>.</li>
<li><strong>September 2022</strong>: I participated to the <a href="https://sites.google.com/view/maclean22/home?authuser=0">MACLEAN Workshop</a> at ECML-PKDD 2022 in Grenoble.
Access the paper in the <a href="research.html">research</a> section.</li>
</ul>
<details>
<summary><em>Past events:</em></summary>
<ul>
<ul>
<li> <strong>September 2024</strong> My research is featured in <i>Le Journal du Photovoltaique</i>. The article is accessible <a href="https://drive.google.com/file/d/1vmpklt_UFAJVf9QrtC6EK-M1F6GbibZd/view?usp=drive_link">here</a>.</li>
</ul>
<li><strong>August 2024</strong> The last paper of my PhD thesis, <i>Remote-Sensing-Based Estimation of
Rooftop Photovoltaic Power Production Using Physical
Conversion Models and Weather Data</i>
has been published in
<i>Energies</i> ! You can access it <a href="https://doi.org/10.3390/en17174353">here</a>
</li>
<li><strong>May 16th-17th, 2024</strong>: I participated to the doctoral workshop <a href="https://psl.eu/en/events/doctoral-conference-ai-sciences"> AI for the Sciences</a> of PSL University.</li>
<li><strong>15th February 2024</strong>: I presented my PhD work at the PitchYourThesis event of Entrepreneur First in Paris</li>
<li><strong>5th December 2023</strong>: I presented my PhD work at the 2nd AI4Climate Meetup</li>
<li><strong>November 2023</strong>: I presented my PhD work to students of the "MIG Solaire" course of Mines Paris</li>
<li><strong>October 2023</strong>: I presented my PhD work to students from the "Geostat" curriculum of Mines Paris</li>
<li><strong>June 2023</strong>: I gave an oral presentation at the 7th
<a href="https://www.wemcouncil.org/wp/icem2023/">International Conference Energy and Meteorology</a> in Padova.
</li>
<li><strong>March 2023</strong>: I gave a talk at the Solar Winter School in Sophia-Antipolis</li>
<li><strong>February 2023</strong>: I will be supervising 1st year Mines Paris students for their computer science project (defense: July 2023)</li>
<li><strong>October 2022</strong>: I will be supervising 2nd year ENSAE students for their applied statistics projects (defense: May 2023)</li>
<li><strong>September 2022</strong>: I attended the PhD Forum at ECML-PKDD in Grenoble</li>
<li><strong>July 11th-12th, 2022</strong>: I attended the 4th symposium of the Madics in Lyon</li>
<li><strong>July 5th, 2022</strong>: I presented my PhD work at the
<a href="https://caprfiap2022.sciencesconf.org/resource/page/id/23">MACLEAN Workshop</a> at CAp/RFIAP in Vannes.
</li>
<li><strong>March 2022</strong>: I presented my PhD work at the IEA-PVPS Task 16 experts meeting in Sophia-Antipolis</li>
<li><strong>March 2022</strong>: Yann Trémenbert started his 6 months end-of-study internship with us!</li>
<li><strong>November 2021</strong>: I participated to the 3rd SophIA Summit in Sophia-Antipolis.</li>
<li><strong>February 2021</strong>: <a href="https://asso.bdpv.fr/">Asso BDPV</a> Launched a crowdsourcing campaign to construct
a training database for mapping PV installations! Access the crowdsourcing platform <a href="https://www.bdpv.fr/_BDapPV/">here</a>!</li>
<li><strong>October 1st 2020</strong>: I started my PhD thesis at Mines Paris - PSL and RTE.</li>
</ul>
</details>
<br />
<br />
<h2 id="Education">Curriculum and current position</h2>
<p>My full CV (update: June 2024) is accessible
<a href="https://drive.google.com/file/d/1XtGaxZgr_FFFzpIY23MNWYAW1nuE1q6o/view?usp=drive_link"> here</a>.</p>
<h3>Current position</h3>
<p>I have been an R&D researcher at RTE France since 2019.
I am currently member of the "Climate, Long-Term Power System Adequacy and Planning
Group" research team.</p>
<em>Past positions:</em>
<ul>
<li><strong>2024-Current</strong>: Postdoctoral researcher (Mines Paris and RTE)</li>
<li><strong>2020-2024</strong>: PhD Candidate at Mines Paris and RTE France.</li>
<li><strong>2019-2020</strong>: Work-study contract at RTE</li>
<li><strong>2019</strong>: Research summer intern at the University of Jyvaskyla (Finland)</li>
<li><strong>2016</strong>: Summer intern at the Cour des comptes </li>
</ul>
<h3>Curriculum</h3>
<ul>
<li>PhD from <a href="https://psl.eu/en">PSL University</a> (2024)</li>
<li>Engineering degree in statistics and machine learning from <a href="https://www.ensae.fr/en/">ENSAE Paris</a> (2020)</li>
<li>Master degree ("Elève normalien") from <a href="https://ens-paris-saclay.fr/">ENS Paris Saclay</a> (2019)</li>
<li>Master degree in <a href="https://www.parisschoolofeconomics.eu/fr/formation/masters/ape-analyse-et-politique-economiques/">analysis and policy in economics (APE)</a> from <a href="https://www.parisschoolofeconomics.eu/">Paris School of Economics</a> (2018)</li>
</ul>
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