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Research activities

ORCID DBLP Google Scholar HAL

Research interests

Methodological expertise

  • Markov models — hidden Markov chains/fields, pairwise & triplet, switching & fuzzy variants
  • Kalman-like filters for non-linear, non-Gaussian and switching systems
  • Copulas for dependency modeling in Markov frameworks
  • Bayesian inference & unsupervised learning — parameter estimation, restoration
  • Deep learning & computer vision — segmentation, object detection, transfer learning, synthetic data
  • Time-series modeling — filtering, smoothing, prediction
  • Image segmentation & object tracking

Application domains

  • Healthcare & biology — mass-spectrometry analysis, antibiotic resistance detection
  • Smart cities & transportation — traffic state estimation and prediction
  • Construction & industry — augmented reality, BIM-based progress monitoring, robotics
  • Activity & cognition — IMU-based locomotion recognition, infant visual development
  • Biometrics — iris recognition from video (legacy)
  • Remote sensing — SAR image segmentation, change detection (legacy)

PhD & HDR theses

Ph.D.

Université de Rennes 1 — defended December 15, 1999. PDF

Habilitation à Diriger des Recherches

Aix-Marseille Université — defended April 29, 2008. PDF

Papers in international journals

Click to expand the full list of journal papers
  1. M. Baubriaud, S. Derrode, R. Chalon, and K. Kern, AR-based MEP Progress Monitoring using BIM and Synthetic Data, Results in Engineering, 2026. pdf. bibtex.
  2. Z. Bouyahia, H. Haddad, S. Derrode, and W. Pieczynski, Traffic state prediction using conditionally Gaussian observed Markov fuzzy switching model, Journal of Intelligent Transportation Systems, Vol. 27(4), pp. 503–522, 2023. pdf. bibtex.
  3. Z. Bouyahia, H. Haddad, S. Derrode, and W. Pieczynski, Toward a Cost-Effective Motorway Traffic State Estimation From Sparse Speed and GPS Data, IEEE Access, Vol. 9, 44631-44646, 2021. pdf. bibtex.
  4. Z. Bouyahia, S. Derrode, and W. Pieczynski, Filtering in Gaussian Linear Systems with Fuzzy Switches, IEEE Trans. on Fuzzy Systems, Vol. 28(8), 1760-1770, 2020. pdf. bibtex.
  5. F. Zheng, S. Derrode and W. Pieczynski, Semi-supervised optimal recursive filtering and smoothing in non-Gaussian Markov switching models, Signal Processing, Vol. 171, p. 107511, 2020. pdf. bibtex.
  6. H. Li, S. Derrode, and W. Pieczynski, Adaptive On-line Lower Limb Locomotion Activity Recognition Using Semi-Markov Model and Single Wearable Inertial Sensor, Sensors, special issue: Sensors for Gait, Posture, and Health Monitoring, Vol. 19(19), 4242, 2019. pdf. bibtex.
  7. H. Li, S. Derrode, and W. Pieczynski, An adaptive and on-line IMU-based locomotion activity classification method using a triplet Markov model, Neurocomputing, Vol. 362, 94-105, 2019. pdf. bibtex.
  8. Q. Ju, R. Chalon, and S. Derrode, Assisted Music Score Reading Using Fixed-Gaze Head Movement: Empirical Experiment and Design Implications, PACM on Human-Computer Interaction Journal, Vol. 3:1, 1-29, 2019. pdf. bibtex.
  9. F. Zheng, S. Derrode, and W. Pieczynski, Parameter Estimation in Switching Markov Systems and Unsupervised Smoothing, IEEE Trans. on Automatic Control, Vol. 64(4), 1761-1767, 2019. pdf. bibtex.
  10. I. Gorynin, S. Derrode, E. Monfrini, and W. Pieczynski, Fast smoothing in switching approximations of non-linear and non-Gaussian models, Computational Statistics and Data Analysis, Vol. 114, 38–46, 2017. pdf. bibtex.
  11. I. Gorynin, S. Derrode, E. Monfrini, and W. Pieczynski, Fast Filtering in Switching Approximations of Non-linear Markov Systems with Applications to Stochastic Volatility, IEEE Trans. on Automatic Control, Vol. 62(2), 853–862, 2017. pdf. bibtex.
  12. S. Derrode and W. Pieczynski, Unsupervised classification using hidden Markov chain with unknown noise copulas and margins, Signal Processing, Vol. 128, 8-17, 2016. pdf. bibtex.
  13. V. Némesin, and S. Derrode, Quality-driven and real-time iris recognition from close-up eye videos, Signal, Image and Video Processing, Vol. 10(1), 153-160, 2016. pdf. bibtex.
  14. V. Némesin, and S. Derrode, Robust partial-learning in linear Gaussian systems, IEEE Trans. on Automatic Control, Vol. 60(9), 2518-2523, 2015. pdf. bibtex.
  15. N. Abassi, D. Benboudjema, S. Derrode and W. Pieczynski, Optimal filter approximations in Conditionally Gaussian Pairwise Markov Switching Models, IEEE Trans. on Automatic Control, Vol. 60(4), 1104-1109, 2015. pdf. bibtex.
  16. N. Abassi, S. Derrode, F. Desbouvries, and W. Pieczynski, Filtrage statistique optimal rapide dans des systèmes linéaires à sauts non stationnaires, Traitement du Signal, Vol. 31 (3-4), 339-361, 2014. pdf. bibtex.
  17. S. Derrode, L. Benyoussef and W. Pieczynski, Subsampling-based HMC parameters estimation with application to large data sets classification, Signal, Image and Video Processing Journal, Vol. 8(5), 873-882, 2014. pdf. bibtex.
  18. S. Derrode and W. Pieczynski, Exact Fast Computation of Optimal Filter in Gaussian Switching Linear Systems, IEEE Signal Processing Letters, Vol. 20(7), 701-704, 2013 (eq. 19 has been corrected w.r.t published version). pdf. bibtex.
  19. S. Derrode, and W. Pieczynski, Unsupervised data classification using pairwise Markov chains with automatic copulas selection, Computational Statistics & Data Analysis, Vol. 63, 81-98, 2013. pdf. bibtex.
  20. V. Némesin, and S. Derrode, Robust blind pairwise Kalman algorithms using QR decompositions, IEEE Trans. Signal Processing, Vol. 61(1), 5-9, 2013. pdf. bibtex.
  21. S. Derrode, and W. Pieczynski, Segmentation d’images par modèle de mélange conjoint non gaussien, Traitement du Signal, Vol. 29 (1-2), 9-28, 2012. pdf. bibtex.
  22. L. Benyoussef, and S. Derrode, Tessella-oriented segmentation and guidelines estimation of ancient mosaic images, J. of Electronic Imaging, Vol. 17(4), 2008. pdf. bibtex.
  23. Z. Bouyahia, L. Benyoussef, and S. Derrode, Change detection in synthetic aperture radar images with a sliding hidden Markov chain model, J. of Applied Remote Sensing, Vol. 2(1), 023526, 2008. pdf. bibtex.
  24. M.-A. Charmi, S. Derrode, and F. Ghorbel, Fourier-based geometric shape prior for snakes, Pattern Recognition Letters, Vol. 29(7), 897-904, 2008. pdf. bibtex.
  25. L. Benyoussef, C. Carincotte, and S. Derrode, Extension of higher-order HMC modeling with application to image segmentation, Digital Signal Processing, Vol. 18(5), 849-860, 2008. pdf. bibtex.
  26. W. Ketchantang, S. Derrode, L. Martin, and S. Bourennane, Pearson-based mixture model for color object tracking, Machine Vision and Applications, Vol. 19 (5-6), 2008, Special issue on video surveillance research in industry and academia. pdf. bibtex.
  27. S. Derrode, and G. Mercier, Unsupervised multiscale oil slick segmentation from SAR image using a vector HMC model, Pattern Recognition, Vol. 40(3), 1135-1147, 2007. pdf. bibtex.
  28. F. Ghorbel, S. Derrode, R. Mezhoud, T. Bannour, and S. Dhabhi, Image reconstruction from a complete set of similarity invariants extracted from complex moments, Pattern Recognition Letters, Vol. 27(12), 1361-1369, 2006. pdf. bibtex.
  29. C. Carincotte, S. Derrode, and S. Bourennane, Unsupervised change detection on SAR images using fuzzy hidden Markov chains, IEEE Trans. on Geoscience and Remote Sensing, Vol. 44(2), 432-441, 2006. pdf. bibtex.
  30. G. Mercier, S. Derrode, and W. Pieczynski, Segmentation multi-échelle de nappes d’hydrocarbure, Traitement du Signal, Vol. 21(4), 329-346, 2004. pdf. bibtex.
  31. S. Derrode, and W. Pieczynski, Unsupervised signal and image segmentation using pairwise Markov chains, IEEE Trans. on Signal Processing, Vol. 52(9), 2477-2489, 2004. pdf. bibtex.
  32. S. Derrode, and F. Ghorbel, Shape analysis and symmetry detection in gray-level objects using the analytical Fourier-Mellin representation, Signal Processing, Vol. 84(1), 25-39, 2004. pdf. bibtex.
  33. S. Derrode, and F. Ghorbel, Robust and efficient Fourier-Mellin transform approximations for invariant grey-level image description and reconstruction, Computer Vision and Image Understanding, Vol. 83(1), 57-78, 2001. pdf. bibtex.
  34. S. Derrode, R. Mezhoud, and F. Ghorbel, Comparaison de deux familles complètes de descripteurs de formes pour l’indexation de bases d’objets 2D à niveaux de gris, Annals of Telecommunications, Vol. 55(3/4), 184-193, 2000. pdf. bibtex.

PhD (co-)supervision

Ongoing

Léo Calmettes · 2025 → — Identification non-linéaire de structures piloté par des données

ENTPE
with Alireza Ture Savadkoohi

Abstract

Léo Schneider · 2023 → — Machine-learning-based analysis of Pseudo Mass-Spectrum Images for Targeted Peptides Identification

Centrale Lyon
with Jérôme Lemoine and Z. Bouyahia

Abstract

Defended

Mathis Baubriaud · Mar 2025 — Reporting automatisé de l’état d’avancement d’un chantier à l’aide de la réalité mixte

Centrale Lyon · CIFRE with SPIE
with R. Chalon
LinkedIn

Abstract

Liqun Liu · Nov 2022 — Visualization of Spatial and Temporal Road Traffic Data

Centrale Lyon · China Scholarship Council
with R. Vuillemot
LinkedIn

Abstract

Haoyu Li · Dec 2019 — Recent Hidden Markov Models for Lower Limb Locomotion Activity Detection and Recognition using IMU sensors

Centrale Lyon · China Scholarship Council
with W. Pieczynski

Abstract

Qinjie Ju · Apr 2019 — Gaze tracking for advanced mobile interaction

Centrale Lyon · China Scholarship Council
with R. Chalon
LinkedIn

Abstract

Fei Zheng · Dec 2017 — Introducing copulas in recent Markov models with application to non-Gaussian object following in video

Centrale Lyon · China Scholarship Council
Personal page

Abstract

Valérian Némesin · Sep 2014 — Apprentissage non-supervisé dans les modèles linéaires gaussiens

Application à la biométrie dynamique de l’iris.

Université Aix-Marseille · DGA/CNRS scholarship
LinkedIn

Abstract

William Ketchantang · Jan 2008 — Étude d’une nouvelle modalité vidéo pour la reconnaissance biométrique de l’iris

Université Aix-Marseille · CIFRE (ST-MicroElectronics, Rousset)
LinkedIn

Abstract

Cyril Carincotte · Nov 2005 — Segmentation markovienne floue d’images

Application en détection de changements entre images radar.

Université Paul Cézanne (Aix-Marseille 3) · bourse ministérielle

Abstract

Rim Mezhoud · Feb 2005 — Indexation de bases d’images planes à l’aide d’invariants complets d’images à niveaux de gris

Université de Tunis II

Abstract

Post-doctoral supervision

Rim Rekik · May 2026 → May 2028 — ANR AIDIBOP post-doc

Post-doctoral fellow funded by the ANR AIDIBOP project.

ANR AIDIBOP
24 months

Master’s internship co-supervision

Omar Kosseentini · Apr → Jul 2026 — Modeling Infant Visual Experience using Deep Learning

Spatio-Temporal Analysis and Simulation of Visual Input Dynamics Using Deep Learning.

FIL VISIONS project

Léo Calmettes · 2025 — Deep learning on DIA data for detecting antibiotic resistance in patients

PIMI project (FIL, 2024–2025)
with Z. Bouyahia and L. Schneider

Shreeniketh Arasanipalai Krishnan · 2025 — Laser ablation methods for surface super-hydrophobicity

Optimization of laser ablation methods for the study of surface super-hydrophobicity.

Carnot 3DSurf project (2024–2026)
with A. Saidi

Charles Gassot · 2021 — Statistical filtering in switching Markov models

with W. Pieczynski (Télécom SudParis)

Research projects

Ongoing

ANR AIDIBOP — AI-based Diagnosis of bloodstream Infection from digitized BOttom-up Proteomes

S. Derrode (scientific director), J. Lemoine (ISA), Z. Bouyahia · partners: UCBL and Hospices Civils de Lyon (Prof. F. Vandenesch) for clinical tests.
ANR AAPG 2025 · Oct 2025 – Mar 2029 · Imagine team @ LIRIS
Accepted by ANR in 2025. Lyonbiopôle press release.

VISIONS — Visual Input and Simulation in Infants’ Observational Neurodevelopment Study

J.-R. Hochmann (ISCMJ), Z. Bouyahia (LIRIS), S. Derrode, L. Papeo (ISCMJ).
FIL · 2025 – 2027 · 9.4 k€
Co-PIs: J.-R. Hochmann & Z. Bouyahia. Computer vision and AI applied to infant cognitive development using the SAYCam corpus.

Carnot 3DSurf — Sustainable and robust super-hydrophobicity through hybrid additive manufacturing and biomimicry

Partners: LTDS, MATEIS, LIRIS (S. Derrode & A. Saidi).
Institut Carnot Ingénierie@Lyon · 2024 – 2026 · 248 k€
PI: S. Valette (LTDS).

Past

  • PIMI — Generation of Pseudo Mass-spectrum Images for targeted peptides Identification — S. Derrode, J. Lemoine (ISA), Z. Bouyahia. FIL, 2023 – 2025. Budget: 10 k€. PI: S. Derrode.
  • InEPSHeD — An integrated educational platform for students with hearing difficulties — Z. Bouyahia, K. Al-Mashikhi, H. Haddad, N. Jabeur, S. Derrode. Sultanate of Oman, 2021 – 2023. Budget: 20 000 OMR. PI: Z. Bouyahia.
  • Smart-City Taxis IoT — An IoT-based Framework for Balancing Taxis Service Supply-Demand in the Context of a Smart City — Z. Bouyahia, H. Haddad, S. Derrode. Dhofar Univ., Oman (BFP/RGP/ICT/19/160), 12/2019 – 11/2021. PI: Z. Bouyahia.
  • RTCP-RD — Toward a Self-Organizing Traffic Control System: Road Traffic Congestion Prediction and Resource Dispatching — Z. Bouyahia, H. Haddad, N. Jabeur, S. Derrode, L. Benyoussef, A.U. Yasar. Dhofar Univ., Oman (BFP/RGP/ICT/18/119), 07/2019 – 01/2021. Budget: 5 000 OMR. PI: Z. Bouyahia.
  • LabCom Arès — Machine learning and computer vision for Smart Robots — L. Chen, E. Dellandréa, S. Derrode. ANR LabCom; partners: Centrale Lyon, Siléane, Renault. 2017 – 2020. PI: L. Chen.
  • E-digit Arena V.2.0 (MACADAMS) — M. Ardabillian, S. Derrode. Eurostars project; partners: Centrale Lyon, Idiap, E.S. Concept SA. 2017 – 2018. PI: M. Ardabillian.
  • Visual exploration of parameter spaces for image analysis — R. Vuillemot, S. Derrode. LIRIS internal funding, 2017 – 2018. PI: R. Vuillemot.
  • SIRIMA — Gaze tracking for advanced mobile interaction — S. Derrode, R. Chalon. LIRIS internal funding, 2016 – 2017. PI: R. Chalon.
  • MOSS — Multiscale classification of oil slicks in SAR images — Post-doc project, ENST Bretagne (ITI Dpt), 1999 – 2001.
  • SIR — Statistical classification of radar images using Markov models — Post-doc project, ENST Bretagne (ITI Dpt), 1999 – 2001.