Areas of Expertise
My research focuses on computer vision, machine learning applied to imaging, and pattern recognition, with a focus on applications in biomedical imaging and environmental analysis.
Description
My research focuses on areas of artificial intelligence and image analysis, with a particular interest in discriminative feature extraction and tailored augmentation of under-represented data, in order to design robust learning models for decision support.
This work is part of a cross-cutting approach dedicated to the analysis of complex and real-world visual data, with applications notably in medical image interpretation for diagnostic support, as well as in drone image analysis for the understanding and assessment of disaster situations.
In particular, since 2025 I have initiated and co-led the GT-I2MDP working group (Multimodal Image and AI for the Diagnosis of Pulmonary Diseases) within the GDR IASIS, dedicated to structuring a scientific community around the contribution of artificial intelligence and image analysis to decision support in the diagnosis of pulmonary diseases.
Publications
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An efficient pyramid multi-level image descriptor: application to image-based parking lot monitoring (2019) ArticleSignal, Image and Video Processing
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Visual Communication with Successive Reading of Public and Secret Information by Generating Dual-Layer Images (2019) Conference paperThe 8th ACM/EG Expressive Symposium
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Image-based Ciphering of Video Streams and Object Recognition for Urban and Vehicular Surveillance Services (2019) Conference paperInternational Conference on Information and Computer Technology
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Journal of Imaging
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Towards a Model of Car Parking Assistance System Using Camera Networks: Slot Analysis and Communication Management (2018) Conference paper2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)