
About
Jonathan Weber is Full Professor in Computer Science at Université de Haute-Alsace and Head of the Computer Science and Network Department at ENSISA. His research develops deep learning methods for time series analysis, image processing, and computer vision applications.
Research focuses on time series classification, clustering, and generation using deep neural networks. Applications span medical imaging, remote sensing, rehabilitation assessment, and geospatial mapping.
Recent publications establish evaluation frameworks for human motion generation, develop efficient architectures for time series classification, and create neural approaches for hiking map generation. His team created the InceptionTime model for time series classification.
Professor Weber leads the MSD (Modeling of Dynamic Systems) research team at IRIMAS and has supervised multiple PhD students in computer vision and time series analysis.
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