Fred's research


Professor at Universite Cote d'Azur

Research Lab: I3S Laboratory, INRIA - Maasai Project

Research interests: kernel-based SVM, Boosting, Ensemble Learning, Random Forest, Artificial Neural Networks, Deep Learning, (Inter-)Active learning, Long-term learning, Large Scale learning, Machine Learning Hybridization, Pattern Recognition

Research contexts: Multimedia Indexing/Classification, Content-Based Multimedia Retrieval, Text mining, Applications to Bio-Medical data, Application to environmental data, Application to sensor netowrks

Current PhD students:

  • Laura Melissa Sanabria Rosas, 2017-2021, Detection and caracterisation of salient moments for automatic summaries. Regional Grant with Wildmoka, with Thomas Menguy
  • Miguel Fabian Romero Rondon,2017-2021, Streaming virtual reality: learning for attentional models and network optimization. MENRT Grant, co-directed with Lucile Sassatelli (UCA)
  • Tianshu Yang, 2018-2021, Machine learning for the revenue accounting workflow management. CIFRE grant with Amadeus, co-directed with Nicolas Pasquier (UCA)
  • Laurent Vanni, 2019-2022, Understanding Deep Learning for political discourse analysis, co-directed with Damon Mayaffre (UCA)
  • Yassine ELAMRAOUI, 2020-2023, Maximizing expert feedback in the detection of anomalies in time series. CIFRE Grant with Ezako, co-directed with Mireille Blay-Fornarino (UCA)
  • Baptiste Pouthier, 2020-2023, Multimodal Speech Recognition. CIFRE with NXP, with Laurent Pilati
  • Louis Ohl, 2021-2024, Cardiology analysis through Machine Learning. FFCR Grant, co-directed with Pierre-Alexandre Mattei (UCA), Arnaud Droit (U. Laval), Mickael Leclerc (U. Laval)
  • Antoine Collin, 2021-2024, Automatic cell type annotation for cell atlas construction. 3IA Institute PhD Grant, co-directed with Pascal Barbry (IPMC, UCA), Christophe Becavin (IPMC, UCA)

Current Responsabilities:

  • Scientific and Program Officer for Artificial Intelligence at French National Research Agency (ANR)
  • Member of Scientific Council of the Theoretical and Computational Modelisation in Neuro and Cognitive Sciences (
  • Member of Scientific Council of Observatoire sur les impacts technologiques, economiques et societaux de l'IA (


  • PhD students at Universite Cote d'Azur:

    • John Anderson Garcia Henao, 2017-2021, Towards a Green Artificial Intelligence applied to health care and well-being. Labex Grant in collaboration with Hospital University Center
    • Melanie Ducoffe, Active Learning for Deep Networks, 2015-2018, ENS Grant
    • Katy Blanc, Analysis, Description and Recognition of Video content, 2014-2017, MENRT
    • Edson Alejandro Florez Suarez, Data Science at the service of pharmacovigilance (population approach) and personalized drug monitoring (data profiling), 2017-2020, Regional Grant with France Labs and in collaboration with Hospital University Center
    • Romaric Pighetti, Content-Based Information Retrieval combining evolutionary algorithms and SVM, 2012-2016, MESR
    • Stephanie Lopez, Interactive Content-based Retrieval based from Eye-tracking, 2013-2016, ANR Project VISIIR
    • Ameni Bouaziz, Short message mining (tweet trends and events), 2013-2016, Regional Grant with Semantic Grouping Company
    • Atheer Al-Nadji, Recommender system for Data Mining applied to sensor networks, 2013-2016, Irak gouvernment research grant

  • Post-docs:

    • Geoffrey Portelli, Bio-Deep: A biology perspective for Deep Learning optimization and understanding, 2016-2018.
    • Souad Chaabani, Interactive Image Search Engine by Visual Control, 2017-2018.
    • Sujoy Chatterjee, Multiple Consensus Clustering for Multidimensional and Imbalanced Data, in collaboration with Amadeus, 2018-2020.

  • Reasearch Engineers:

    • Taki-Eddine Mekhalfa, 2020-2021,Learning to explain and explain to learn (L2EE2L). 3IA Institute Research Engineer, collaboration with Marco Gori (University Siena & UCA)
    • Lirone Samoun, 3D Object interactive search engine, Digiart Project, 2016-2018.
    • Thomas Fisichella, Structure extraction from 3D point clouds, Digiart Project, 2016-2018.
    • Ayattalah Aly Halim, Human Action Recognition from 3D, 2014-2017, UFE research grant
    • Lucas Malleus, Algoritms for data search and retrieval based on 2D and 3D content, 2014-2017, contract with Autodesk

  • Responsabilities:

    • Member of EDSTIC Doctoral School Council
    • Member of Pedagogical Committee for Computer Science Department of Polytech Engineering School

Projects: ANR VISIIR, H2020 DigiArt, ANR Deep in France, ICT-48 AI4Media.

Associate Professor at ENSEA

From Septembre 2005 to September 2011, with Ecole Supérieure Nationale de l'Electronique et de ses Applications (ENSEA)

Research interests: Video segmentation and Tracking, Active Contours and Level-Sets, Video Indexing, Content-Based Image and Multimedia Retrieval, Pattern Recognition and Computer Vision.

Former PhD students:

Projects : NoE MUSCLE, Projet Digiteo-Ile de France K-VideoScan, Projet ANR iTOWNS, Projet ANR EROS 3D.

Post-Doctorate :

Semantic methods for object extraction and retrieval
with ITI, Institute of Telematics and Informatics at CERTH, Thessaloniki, in the Multimedia Knowledge Group of Professors Strintzis et Kompatsiaris

PhD thesis :

Parametric active contours for image and video segmentation
under the supervision of Pr Michel Barlaud in the CReATIVe group from October 1st, 2000, defended on September 24th, 2004 (manuscript PDF file, slides PDF file)