Alexandre BENOIT

Professor, Polytech Annecy-Chambéry.

Contact.

Email : alexandre.benoit –@– univ-smb.fr

Phone : +33(0) 4 50 09 65 22 – télécopie : +33(0) 4 50 09 65 22

Office :  A223

Postal address : LISTIC – Polytech Annecy Chambéry, BP 80439, 74944 Annecy le Vieux Cedex, France

Position / responsabilities.

• Permanent LISTIC Lab. member, professor position
• Main teaching activities at Polytech Annecy Chambéry, Université Savoie Mont Blanc.

Research interests.

    Member of the “Apprentissage, Fusion et Télédétection (AFuTé) thematic” with strong connexions with ReGaRD thematics on distributed systems, HPC, data and ethics,

• Image, video and more generally data understanding : from data preprocessing, features extraction to concept recognition (objects, action, etc.)  to classical 1D sensors.
• Heterogeneous Data Fusion : associating multimodal inputs, images, contextual indicators, and others to make the decision process more reliable.
• Sensor time series in general, from image sequences (multimedia, satellite remote sensing, astrophysics imaging) to classical sensors analysis.
• Current methodological approaches rely on deep learning methods with some specific directions:
  • Frugal models, low computational cost by design: light architectures efficient in terms of training efficacy as well as reduced inference time.
  • Explainable models, with two approaches:
    • physical aware models design : by introducing physical knowledge in the model structure or by introducing optimization criteria related to the physical phenomenon to be considered.
    • developing XAI visualization techniques to help explain and understand model behaviors and predictions.
  • Physically informed models, ongoing activity
  • Federated learning, distributed and privacy preserving machine learning, ongoing activity.

Keywords

Video clustering Classification Retina modelDeep Learning Semi-supervised learning 3D convolutional neural network V1 cortex model Semantic Segmentation Real-time retina Human vision Remote sensingSpectral Clustering 2D metrics 3DOpenInterface Deep learning Attention level, Pairwise constraints Graph Cut

Publications

An overview of my publications is provided here : https://cv.archives-ouvertes.fr/alexandre-benoit  and here also (subject to bugs) : registered in HAL

My Google Scholar report.

Research Projects

• A brief overview on these slides
• Current projects:
  • Gamma rays classification and parameters estimation.
    • Keywords : deep learning, astrophysics, model inversion, physics inspired models, domain adaptation, multitask learning, classification, regression.
    • Academic partner: LAPP
    • Industrial partner : Orobix
  • Federated Learning and bias mitigation
    • Keywords : deep learning, decentralized learning, model and data bias detection, clients clustering
    • Academic and industrial research
  • Deep learning for Alpin glacier model inversion
    • Keywords : deep learning, model inversion, physics inspired models
  • IoT and AI for health care
    • Keywords : deep learning, time series analysis
    • internal long run project at LISTIC
• Recent projects:
  • Oil slicks detection and classification.
    • Keywords : deep learning, SAR data analysis, heterogeneous data fusion, anomaly detection, semantic segmentation, classification.
    • Industrial partner : Total
  • Object detection and recognition for office inventory.
    • Keywords : deep learning, 360° images, 3D scene modelling.
    • Industrial partner : SmarterPlan.io

Teaching :

• Related to my research activities:
  • Image and data processing with tools such as Matlab, and Python, OpenCV
  • Deep larning with Tensorflow.
  • Target students : PhD, Master and Bachelor degree and employed engineers.
• General teaching activities:
  • Programming : scripting and object programming with C/C++/Java/Python/PHP, and others.
  • Modeling (UML, etc.)
• Experience highlights :
  • image processing and machine learning to PhD students and Master 2 at University Savoie Mont Blanc.
  • machine learning at ESEN engineering school at Tunis (Tunisia)
  • machine learning at Renault compagny (Paris, Versailles)

Consulting :

• Introducing machine learning in digital processes in the industry.
• Data pre-processing, features extraction and decision making for classification, regression and other tasks for image, video and time series understanding.
• Experience highlights :
  • Machine Learning and Deep Learning at Renault (Paris, Versailles)
  • Deep Learning at Total company(Paris)
  • Machine Learning at AboutGoods Company and Inventhys (Annecy)
  • Machine Learning with startups (Heliocity, Skiply and so on) along implications into the IDEFICS project
  • AI project planning with Concentrix company

Personal pages.

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