Contact

Email :
Phone number : +33 6 75 29 56 08

ResearchGate

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Campus de Dijon
22 B rue du Cap Vert, 21800 Quetigny

Research team

Engineering and Numerical Tools


Educational activities

  • Subjects : Computer Science, Engineering Sciences
  • Methods : Lectures, Tutorials (TD), Practical Work (TP), Active learning (PBL)
  • Levels of Intervention : Integrated Preparatory Cycle, Engineering Cycle, Specialized Bachelor's Degree, Higher Technician Curriculum
  • Specialties Taught : Algorithms, Programming, Operations Research, Web Development, Signal and Image Processing

Background

  • PhD in Computer Science at the Computer Science and Systems Lab (LIS)
    Univ. of Toulon, 2013-2017
    Fourier descriptors inspired by the structure of the human primary visual cortex V1 : Application to vessels recognition in the framework of maritime surveillance
  • Research Master Degree in Computer Science
    Univ. of Fez, Morocco., 2009-2011
    Computer Graphics and Imaging (M3I), Dep. of Computer Science
  • Bachelor in Mathematics and Computer Sciences (SMI)
    Univ. of Fez, Morocco, 2006-2009
     Dep. of Computer Science,

Research Topics

  • Machine Learning and Deep Learning
  • Signal and Image Processing
  • 3D Shape Analysis
  • Applications: Computer Vision and Digital Health

Ongoing Research Programs

Development of intelligent solutions for emotional interaction in elderly individuals with neurodegenerative disorders (in collaboration with VyV3 Bourgogne)

Supervised Research Internships

  • Master’s Research Internship (M2) (04/2024 – 08/2024)
    Intern: Mohamed-Alaa Yahyaoui, M2 in Computer Science, Faculty of Sciences and Techniques of Limoges
    Location: CESI Nancy
    Topic: Intermediate fusion of modalities for spontaneous audiovisual emotion recognition
  • Master’s Research Internship (M2) (02/2024 – 07/2024)
    Intern: Aafaf Ridouan, M2 SD, Faculty of Sciences Semlalia of Marrakech (Morocco)
    Location: CESI Dijon
    Topic: Pain assessment using deep learning approaches with multimodal data
  • Bachelor Research Internships (L3) (04/2024 – 06/2024)
    Interns: Keeradit Kanjanawiboon and Petchwadee Bootsaros, Bachelor in Industrial Engineering Technology, King Mongkut’s University of Technology, North Bangkok
    Location: CESI Dijon
    Topic: Development of an EEG and ECG monitoring system on Raspberry Pi 4 with a touch user interface
  • Master’s Research Internship (M2) (02/2023 – 07/2023)
    Intern: Yassine El Boudouri, M2 WISD, Faculty of Sciences Dhar El Mahraz of Fès (Morocco) & M2 EID2, Institut Galilée, University of Sorbonne Paris Nord
    Location: CESI Dijon
    Topic: Development of an AI model for facial emotion recognition
  • Master’s Research Internship (M2) (02/2023 – 07/2023)
    Intern: Nessrine Farhat, M2 WISD, Faculty of Sciences Dhar El Mahraz of Fès (Morocco) & M2 EID2, Institut Galilée, University of Sorbonne Paris Nord
    Location: CESI Dijon
    Topic: Design of a multimodal dataset for emotion recognition
  • Master’s Research Internship (M2) (03/2022 – 08/2022)
    Intern: Wiame Galmassi, M2 TechMed, School of Physics and Engineering, UCA
    Location: Institut Fresnel, Aix-Marseille University
    Topic: Segmentation of the internal and external borders of the bladder wall from MRI images
  • Engineering Research Internship (05/2019 – 08/2019)
    Intern: Aymane Souani, 3rd-year SICOM-EEH & M2 SIGMA, INP of Grenoble
    Location: Timone Neuroscience Institute, Aix-Marseille University
    Topic: Analysis of cortical fold shapes simulated by a biomechanical model

Publications

Summary (2017 – 2024)

  • ACL : 5
  • C-ACTI : 9

 

ACL: International Journals with Peer Review

  • A. Bohi, Y. El Boudouri and I. Sfeir, “A novel deep learning approach for facial emotion recognition: application to detecting emotional responses in elderly individuals with Alzheimer’s disease”, Neural Computing and Applications (Accepted, 2024).
  • K. Makki, A. Bohi, A.C. Ogier, and M.E. Bellemare, “Characterization of surface motion patterns in highly deformable soft tissue organs from dynamic MRI: An application to assess 4D bladder motion”, Computer Methods and Programs in Biomedicine (CMPB), 2022. DOI: 10.1016/j.cmpb.2022.106708.
  • X. Wang, J. Lefèvre, A. Bohi, M. Al Harrach, M. Dinomais, F. Rousseau, “The Influence of Biophysical Parameters in a Biomechanical Model of Cortical Folding Patterns”, Scientific Reports, 2021. DOI: 10.1038/s41598-021-87124-y.
  • M. Al Harrach, F. Rousseau, S. Groeschel, X. Wang, L. Hertz-Pannier, S. Chabrier, A. Bohi, J. Lefèvre, and M. Dinomais, “Alterations in Cortical Morphology after Neonatal Stroke: Compensation in the Contralesional Hemisphere?”, Developmental Neurobiology, 2019. DOI: 10.1002/dneu.22679.
  • A. Bohi, D. Prandi, V. Guis, F. Bouchara, and J.P. Gauthier, “Fourier descriptors based on the structure of the human primary visual cortex with applications to object recognition”, Journal of Mathematical Imaging and Vision (JMIV), Springer, vol. 57, issue 1, pp. 117-133, 2017. DOI: 10.1007/s10851-016-0669-1

 

C-ACTI: International Conferences with Proceedings and Peer Review

  • M. A. Yahyahoui, M. Oujabour, L. Ben Letaifa, and A. Bohi, “Multi-face emotion detection for effective Human-Robot Interaction”, 17th International Conference on Agents and Artificial Intelligence (ICAART), 2025, Porto, Portugal (Accepted).
  • A. Ridouan, A. Bohi, and Y. Mourchid, “Improving Pain Classification using Spatio-Temporal Deep Learning Approaches with Facial Expressions”, 17th International Conference on Machine Vision (ICMV), October 10-13, 2024, Edinburgh, UK.
  • N. Farhat, A. Bohi, L. Ben Letaifa, and R. Slama, “CG-MER: A Card Game-based Multimedia dataset for Emotion Recognition”, 16th International Conference on Machine Vision (ICMV), November 15-18, 2023, Yerevan, Armenia.
  • Y. El Boudouri and A. Bohi, “EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition”, 25th IEEE International Workshop on Multimedia Signal Processing (MMSP), September 27-29, 2023, Poitiers, France.
  • A. Bohi, G. Auzias, C. Noûs, and J. Lefèvre, “Comparing vector fields across surfaces: interest for characterizing the orientations of cortical folds”, 24th IEEE International Conference in Image Processing (ICIP), October 16-19, 2022, Bordeaux, France.
  • K. Makki, A. Bohi, A.C. Ogier, and M.E. Bellemare, “A new geodesic-based feature for characterization of 3D shapes: application to soft tissue organ temporal deformations”, 25th International Conference on Pattern Recognition (ICPR), January 10-15, 2021, Milan, Italy.
  • A. Bohi, X. Wang, M. Al Harrach, M. Dinomais, F. Rousseau, and J. Lefèvre, “Global perturbation of initial geometry in a biomechanical model of cortical morphogenesis”, 41st IEEE International Engineering in Medicine and Biology Conference (EMBC), July 23-27, 2019, Berlin, Germany.
  • X. Wang, A. Bohi, M. Al Harrach, M. Dinomais, J. Lefèvre, and F. Rousseau, “On early brain folding patterns using biomechanical growth modeling”, 41st IEEE International Engineering in Medicine and Biology Conference (EMBC), July 23-27, 2019, Berlin, Germany.
  • A. Bohi, X. Wang, M. Al Harrach, M. Dinomais, F. Rousseau, and J. Lefèvre, “A framework to study the impact of initial geometry on cortical morphogenesis”, Organization of Human Brain Mapping (OHBM), June 13, 2019, Rome, Italy.

Theses and Technical Reports

  • A. Bohi, Fourier Descriptors Inspired by the Structure of the Human Primary Visual Cortex (V1): Application to Ship Recognition for Maritime Surveillance, PhD Thesis, Université du Sud Toulon-Var, May 22, 2017.
  • A. Bohi et al., Decision Support System for Threat Assessment Applied to the Fight Against Maritime Piracy: Results of the PARE Project, Working Papers, Opéra Ergonomie & Thalès, 2014.
  • A. Bohi et al., Autonomous Embedded Intelligence Platform: Semantic Information Generation, Results of the PARE Project, Working Papers, Opéra Ergonomie & Thalès, 2013.