About Me
Hi! 👋
I am a recent PhD Graduate from Sorbonne Université (EURECOM) and I'm currently seeking job opportunities in AI research, either in academia (Post-Doc) or in a company.
I have a strong background in deep learning, particularly for natural language processing, computer vision, digital signal processing and knowledge graphs. I've published on topics such as misinformation detection, social discourse analysis, knowledge engeneering and computer vision.
Research Interests
- Artificial Intelligence
- Deep Learning
- Natural Language Processing (NLP)
- Image Processing & Computer Vision
- Sound & Audio Processing
- Reinforcement Learning
- Knowledge Graphs
- Misinformation Detection & Analysis
- Art & Music
- Healthcare
- Virtual Reality
- Climate Change
- Explainability
- Sustainability
Education
Ph.D. in Computer Science
2021 - 2025 Sorbonne Université / EURECOM Sophia Antipolis, France
Advisor: Paolo Papotti Co-Advisor: Raphael Troncy
Thesis: Using Knowledge Graphs to Detect and Explain Misinformation Spread on the Web
Detection and analysis of misinformation using AI. Trained BERT-based models to detect conspiracy theories, persuasion techniques, emotion, sentiment, political leaning and tropes. Developed a Knowledge Graph of misinformation related content. Proposed novel textual similarity measures for fact-checking applications.
Keywords: NLP, Misinformation, Knowledge Graphs, Features, Textual Similarity
M.S. in Computer Science
2018 - 2020 Polytechnic Montréal Montréal, Canada
Advisor: Farida Cheriet
Thesis: Automatic Screening of Diabetic Retinopathy in Fundus Images Using Deep Learning
Trained models to detect diabetic retinopathy in medical images. Developed a novel technique to assess the quality of medical images.
Relevant courses: Machine learning and deep learning, Computer Vision, Image and Signal Processing, Infography, Virtual & Augmented Reality.
Relevant Projects: Developed a DQN reinforcement learning agent (Python); Created a virtual reality application integrating HTC Vive and CAVE interactions (Unity, C#).
Engineering Diploma (Diplôme d'Ingénieur)
2016 - 2020 Institut Polytechnique de Paris / Télécom SudParis Evry, France
Relevant courses: Image and Signal processing, Virtual & Augmented Reality, Statistics, Object Oriented Coding, Database, Telecommunication, Operating Systems.
Relevant Project: Built software to analyze a musician's playing using signal processing tools (Java).
Awards & Distinctions
- Frugal AI Challenge Winning Submission, 2025
- Best Resource Paper Award, ISWC 2024
- MediaEval Fake News Detection Task 3 Winning Submission, 2022
- Best Paper Award, BeyondFacts Workshop (TheWebConf), 2022
- MediaEval Fake News Detection All Subtasks Winning Submission, 2021
- French National Award « Prix André Blanc Lapierre » (SEE), 2020
Selected Publications
- Definitions matter: Guiding GPT for multi-label classification Findings of the Association for Computational Linguistics: EMNLP 2023 [Paper] [GitHub]
- Cimplekg: A continuously updated knowledge graph on misinformation, factors and fact-checks Best Resource Paper The Semantic Web – 23rd International Semantic Web Conference: ISWC 2024 [Paper] [GitHub] [Website]
- Detecting COVID-19-Related Conspiracy Theories in Tweets MediaEval Benchmarking Initiative for Multimedia Evaluation Workshop: MediaEval 2021 [Paper] [GitHub]
(See Google Scholar for a full list)
Teaching & Supervision
During my PhD, I had the opportunity to supervise students for semester projects, guiding them through research methodologies and technical implementations.
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EURECOM at SemEval-2025 Task 7 : Multilingual and Crosslingual Fact-Checked Claim Retrieval
Students: RAAJ Manas, FLORES Gustavo 10/2024 - 02/2025
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SemEval Persuasion Detection in Memes
Student: PLISSON Gaetan 03/2024 - 06/2024
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Detection of Persuasion Techniques in Memes at SemEval 2024
Students: ABIDI Meriem, DIMASSI Meriem 10/2023 - 02/2024
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NLP Tools For Understanding the Role of Propaganda Techniques Online
Students: FONTANA Umberto, JUROS Jana 03/2023 - 06/2023
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Analyzing COVID‐Related Misinformation on Twitter ‐ Emotion VS Veracity
Students: BURSE Abhishek, MNIF Noura, ZITOUN Rostom 10/2022 - 02/2023
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What Is Sentence Similarity and How to Measure It? Exploring Different Sentence Similarity Measures in a Fact-checking Scenario
Students: MAIDE Rasmus, SÕRMUS Birgit, COUPIN Eloïse 10/2022 - 02/2023
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Detecting Context Misinformation in Text and Images
Students: AAMIR Mohd, SIVASANKARAN Deepika 03/2022 - 06/2022
Projects
Training Reinforcement Learning Agents, 2018
Implemented the Double Deep Q Learning (DDQN) and Policy Gradient algorithms to learning agents. Used OpenAi's Gym to train agents to perform specific tasks (e.g. Land a rocket on the moon, or maintain a pole on a cart)
Skills: Python, Keras, Gym
Virtual Reality Game, 2018
Developed a local multiplayer adventure videogame about Ulysses Odyssey, using virtual and augmented reality technologies. A player using the HTC Vive headset plays Ulysse on a boat, and another using the CAVE technology (4 computers displaying 4 pannels) plays Poseidon.
Skills: Unity, C#, HTC Vive, CAVE
Music Teacher Application, 2017
Created a software to teach music theory on guitar and piano. The application analyze the playing of the user in real time and suggests corrections based on pitch and rhythm. Ability to create lessons.
Skills: Java, Real time Signal Processing, FFT, YIN frequency estimator