Research


My research activities are centered on the monitoring of engineered systems.
It is a multidisciplinary field, from sensor design to decision-making.
I'm particularly interested in contributing to

  • Structural Health Monitoring with acoustic emission (details),
  • Formalisms for uncertainty representation, quantification and propagation (details),
  • Prognostics and Health Management (details),
  • Image and video analysis (details).
My research topics are
  • Deep learning for Structural Health Monitoring,
  • Acoustic emission streaming interpretation by unevenly spaced in time events clustering,
  • Cost-sensitive early classification of time-series using deep reinforcement learning,
  • Remaining useful prediction with low amount of data using belief functions.
In the past, i also worked on computer vision and image understanding.


My results are available on scholar and on scopus (publications), as well on github (some source codes).

I'm a member of the department of applied mechanics of FEMTO-ST institute.

PhD students

  • Loïc GUIZIOU (2022-2025).
  • Tom CATEL (2021-2024).
  • Neha CHANDARANA (2015-2019).
    Subject: Combining passive and active methods for damage mode diagnosis in tubular composites.
    Collaboration with the University of Manchester.
  • Quentin LEFEBVRE (2019-2022).
    Subject: Feeling of fishing reel.
    Financial support: DECATHLON.
    Started in May 2019.
  • Martin MBARGA-KOGO (2018-2021).
    Subject: Structural Health Monitoring using CMUTs.
    Financial support: French Ministry of Education and Research.
    Started in Oct. 2018.
  • Coralie MARTINEZ (2017-2019).
    Subject: Classification of microbiological image sequence using deep learning.
    Financial support: Industrial partnership with bioMérieux.
    Started in Jan. 2017, defended in Dec. 2019.
  • Carine CRIDELICH (2012-2015).
    Subject: Data mining for automotive passive safety.
    Financial support: Industrial partnership with ZF-TRW Automotive.
    Started in 2012, defended in 2015.
    Now data scientist in Italy (automotive application).
  • Dinh DONG-DOAN (2011-2014).
    Subject: Remaining useful life of composite materials based on acoustic emissions.
    Financial support: Labex ACTION.
    Started in 2012, resigned in 2014.
  • Lisa NORGARD-SERIR (2009-2012).
    Subject: Prognostics based on the theory of belief functions.
    Financial support: French Ministry of Education and Research.
    Started in 2009, defended in 2012.
    Now Senior Data scientist in USA (human health application).

Research engineers, postdoctoral researchers

  • Redha BOUBENIA (PhD). Period: 2018-2021 (26 months).
    Subject: Charaterization of CMUTs for SHM. Financial support: Labex ACTION / EUR-EIPHI.
  • Quentin LEFEVRE (Eng). Period: 2018-2019 (8 months).
    Subject: Monitoring of process using acoustic emission.
    Financial support: industrial.
  • Benoît VERDIN (Eng). Period: 2018-2019 (6 months).
    Subject: Monitoring of materials joints using acoustic emission. Financial support: IRT M2P - ANR/industrial.
  • David RENAULT (PhD). Period: 2018-2019 (6 months).
    Subject: Modeling of acoustic emission sources. Financial support: IRT M2P - ANR/industrial.
  • Pauline BUTAUD (PhD). Period: 2017-2018 (12 months).
    Subject: Acoustic microantenna for integrated SHM.
    Financial support: Labex ACTION.
    Now assistant professor at ENSMM.
  • Thomas JEANNIN (PhD). Period: 2017-2018 (3 months).
    Subject: Monitoring of CFRP doped with CNT using acoustic emission.
    Financial support: Région BFC.
    Now engineer at FEMTO-ST institute.
  • Mohamed KHARRAT (PhD). Period: 2013-2015 (30 months).
    Subject: Hybrid approach to acoustic emission-based SHM.
    Financial support: Labex ACTION and BPI France.
    Now tech. eng. support at Mistras Group.

Engineer and Master students

  • Etienne VENDOLA. Subject on deep learning for mechanical science.
  • Achraf LAHBAIRI. Subject on pattern recognition for material science.
  • Hugo LEVEQUE. Subject on deep learning for SHM in vibrating systems.
  • Lucas COELHO. Subject on deep learning for mechanical science.
  • Romain MARCEL. Subject on deep learning for SHM in vibrating systems.
  • Mael BIGOT. Subject on deep learning for mechanical science.
  • Guilhem SEYCHAL. Subject on integration of sensors in composite materials.
  • Fausto SIMEONE. Collaboration with La Sapienza University, Rome.
  • Pablo JUESAS. Subject: Latent Markov models for structural health monitoring.
  • Kuevi- EKUE-HETTAH. Subject: Relations between dummies’ biomechanical parameters and vehicles parameterization in sled tests.
  • Hanna AHAYAN. Subject: Algorithms for pattern recognition in acoustic emission streaming.
  • Lang JIANG. Subject: Acoustic emission in material joints.
  • Sébastien DRUJONT. Subject: Algorithms and sensors for acoustic emission detection and interpretation.
  • Sylvain POMEON. Subject: Denoising acoustic emission streaming.
  • Medhi HANOUNE
  • Pablo JUESAS (second internship)
  • Francisco SAEZ GUITTEREZ
  • Youssef BENNOUR
  • Andres ALACID CANO


Group award
NASA Group Achievement Award obtained in 2018 as a part of the multi-center Systems-Health & Operations Open-Data Team directed by Kai Goebel for Outstanding contributions to the open data initiative by conducting and posting experimental system fault and run-to-failure data sets with exceptional scientific value. Recipients: Edward Balaban, David L. Nishikawa, Scott Poll, John C. Stutz, Adam J. Sweet, Christopher A. Teubert (NASA AMES RESEARCH CENTER), Jonathan S. Litt, Donald L. Simon (NASA GLENN RESEARCH CENTER), Cuong C. Quach, Sixto L. Vazquez (NASA LANGLEY RESEARCH CENTER), Sankalita Saha (APPLE), Emmanuel Ramasso (FEMTO-ST), David Garcia (FREELANCE), Abhinav Saxena (GE), Sriram Narasimhan (GOOGLE), Greg Sonnenfeld (GREG SONNENFELD TECHNICAL CONSULTING), Ashok Srivastava (INTUIT), Kai F. Goebel (IPA-ARC), Matthew Daigle (NIO), Shankar Sankararaman (ONE CONCERN), Tolga Kurtoglu (PARC), Dean Frederick (SARATOGA CONTROL SYSTEM), Jose Celaya (SCHLUMBERGER), George E. Gorospe, Chetan S. Kulkarni, Indranil Roychoudhury (SGT, INC), Edward F. Hogge, Thomas H. Strom (TEAMS 33) and Alice Agogino (UC BERKELEY).


Paper award
Sponsor Award at the Fourth International Conference on Articulated Motion and Deformable Objects (AMDO 2006) for the most suitable work for commercialization. Recipients: Costas Panagiotakis (UOC Crete), Emmanuel Ramasso (GIPSA-lab), Georgios Tziritas (UOC Crete), Michèle Rombaut (GIPSA-lab) and Denis Pellerin (GIPSA-lab). The paper is available here.


HDR

My Habilitation à Diriger des Recherches (HDR, written in French) presents my contributions from 2008 to 2016 on the monitoring of engineered systems.


PhD thesis

My PhD thesis (written in French) between 2004-2007 at GIPSA-lab (Genoble), was about recognizing human motions in videos with moving camera. I had a strong connection with Costas Panagiotakis during this period who helped me a lot on human tracking for better feature extraction.


Master thesis

My Master thesis (written in French), earned in 2004 at LISTIC lab (Annecy), was about 3D tomographic image analysis of composite materials.

  • Emmanuel Ramasso