About Me
I am a postdoctoral researcher at LIRMM (Montpellier Laboratory of Informatics, Robotics, and Microelectronics), specializing in deep learning applications for environmental monitoring. My research focuses on developing multimodal AI approaches that combine vision, audio, and sensor fusion to address real-world challenges in biodiversity and sustainability.
I completed my Ph.D. at the University of Lille, where I developed intelligent air quality indicators using machine learning, with a focus on explainable AI and transfer learning. My work has been published in top-ranked international journals, and I am passionate about making AI accessible and impactful for environmental and health preservation.
Research & Professional Experience
LIRMM, Montpellier
- Postdoc on the SuperBeeLive project, focusing on deep learning for honeybee colony monitoring
- Developing multimodal AI approaches (vision, audio, sensor fusion) to quantify beehive health
- Research on unsupervised learning and recurrent neural models to predict colony vitality under environmental stressors
- Contributing to biodiversity and sustainability research through interdisciplinary collaboration
University of Lille / CRIStAL
- Conducted research on machine learning models for intelligent air quality indicators
- Focused on explainable AI, transfer learning, and toxicity threshold prediction
- Published multiple journal papers in top-ranked international journals
- Presented research in international conferences and contributed to the ANR IARISQ project
Southwest Petroleum University
- Conducted research on the development and validation of machine learning models for soil liquefaction detection
- Applied advanced machine learning and deep learning algorithms for predictive modeling
- Collaborated closely with faculty and researchers in the Civil Engineering Department to design novel approaches
- Contributed to the development of two peer-reviewed scientific papers and authored two additional publications
Education
University of Lille, France
Supervisor: Prof. Hayfa Zgaya-Biau
Southwest Petroleum University, China
Supervisor: Prof. Yu Fang
University of Ibn Zohr - Faculty of Sciences, Morocco
University of Ibn Zohr - Higher School of Technology, Morocco
Teaching & Supervision Experience
École Centrale de Lille
- Taught Data Science and Machine Learning courses
École Centrale de Lille
- Taught Data Science and Machine Learning courses
École Centrale de Lille
- Taught Data Science (Part 2)
- Taught Machine Learning (Part 2)
École Centrale de Lille
- Taught Machine Learning course
Student Supervision
- Supervised project: Machine Learning–Based Decision Support System for Resuming Driving with Visual Field Deficits
Other Experience
Freelance Web Developer
- Developed and managed multiple web projects simultaneously, ensuring timely delivery and high client satisfaction
- Technologies used: PHP, MySQL, WordPress, JavaScript
Medium Writer
- Authored and published articles documenting my learning process and sharing technical insights with a wider audience
Open Source Contributor
- Contributed to various open-source projects by enhancing functionalities, fixing bugs, and collaborating with the developer community
Technical Skills
Areas of Expertise
Programming Languages
Frameworks & Systems
Publications
Highlighted Publications
Conferences & Workshops
Reviewing Activities & Research Projects
Peer Review
Serving as a peer reviewer for the following journals:
- Engineering Applications of Artificial Intelligence (EAAI)
- Modeling Earth Systems and Environment
- Earth Science Informatics
- Environmental Monitoring and Assessment
- Scientific Reports
Research Project Participation
Participated in the setup of the ANR (Agence Nationale de la Recherche) research project IARISQ ("Conception et développement d'un système d'aide à la décision à base d'Intelligence Artificielle pour la prédiction de la qualité de l'air et la détermination des risques sanitaires des particules"), primarily based on my Ph.D. work, in collaboration with CRIStAL, LGCgE, and ATMO.
Grants & Awards
Southwest Petroleum University | 2021-2022
Southwest Petroleum University | 2020-2021