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Adjamonsi Erick ADJE

Ing., MSc., PhD.

ATER — IUT de Laval · Le Mans Université — LIUM

Computer science · Signal and image processing · Machine learning · AI · Software development

Biography

His research lies in the field of signal and image processing, with a particular focus on the analysis and exploitation of hyperspectral data for the detection, tracking and recognition of complex objects. It stands at the intersection of imaging, statistical learning and artificial intelligence, and now extends to crop classification through Sentinel-1 and Sentinel-2 satellite data fusion under temporal shift, as well as to human activity recognition from video. On the teaching side, his experience in Benin and France, amounting to 689 hours (tutorial equivalent) from first-year Bachelor's to first-year Master's and engineering programs, has led him to develop a structured, progressive and practice-oriented approach, with a strong emphasis on student autonomy and project-based learning.

Read the full biography

Born in Cotonou, the economic capital of Benin, Adjamonsi Erick ADJE has held a PhD in signal and image processing since October 2025. From an early age, he has nurtured a deep passion for science and technology. After obtaining a scientific baccalaureate in 2013, he joined the Polytechnic School of Abomey-Calavi where, following two years of preparatory classes, he completed the engineering program in computer engineering and telecommunications in 2019. Drawn to the foundations of artificial intelligence, he then completed a research master's degree in telecommunications and computer networks at the Doctoral School of Engineering Sciences, which he obtained in November 2021 as top of his class, with work on the use of machine learning methods for Internet traffic classification. Between 2018 and 2023, he worked as a consultant and then as a fullstack developer, designing web platforms and mobile applications, which allowed him to strengthen his skills in software development and software architecture. Driven by a strong desire for research and innovation, he began a jointly supervised PhD in October 2022 between the University of Abomey-Calavi (Benin) and the Université du Littoral Côte d'Opale (France), which he defended on October 23, 2025 with the highest honors. From September 2025 to August 2026, he was a Temporary Teaching and Research Assistant (ATER) at the Université du Littoral Côte d'Opale, within the LISIC laboratory. Qualified for Associate Professor positions in CNU sections 27 and 61 in 2026, he has held an ATER position at the IUT de Laval (Le Mans Université) since September 2026, where he teaches in the Computer Science and Multimedia and Internet (MMI) Bachelor of Technology programs and conducts his research at LIUM.

Laval, France

Latest news

  2. Paper Accepted — CARI 2026

    Our paper entitled “Spectral Prototype-Based Spatial Reweighting for Robust Crop Classification via Sentinel-1 and Sentinel-2 Data Fusion” has been accepted…

All news

  1. [R1]

    Statistical framework for butterfly species recognition using raw spatio-hyperspectral images

    E. Adjé, G. Delmaire, A.S.R.M. Ahouandjinou, M. Puigt, G. Roussel

    Pattern Analysis and Applications, vol. 28, n° 3, pp. 136, 2025

  2. [CI3]

    Deformation-Aware Butterfly Tracking in Raw Spatio-Spectral Images

    E. Adjé, A.S.R.M. Ahouandjinou, G. Delmaire, P. Kiki, G. Roussel

    Pattern Recognition and Image Analysis (IbPRIA 2025), vol. 15937, pp. 41–53, 2025

  3. [CI1]

    Towards Automatic Butterfly Species Recognition Using a Single Spatio-Hyperspectral Image

    E. Adjé, G. Delmaire, A.S.R.M. Ahouandjinou, M. Puigt, G. Roussel

    32nd European Signal Processing Conference (EUSIPCO 2024), pp. 1252–1256, 2024

  4. [R2]

    Features analysis of internet traffic classification using interpretable machine learning models

    E. Adjé, V.R. Houndji, M. Dossou

    IAES International Journal of Artificial Intelligence, vol. 11, n° 3, pp. 1175–1183, 2022

All publications

Academic Background

  1. 2022 — 2025

    PhD in Signal and Image Processing

    University of Abomey-Calavi (Benin) & Université du Littoral Côte d'Opale (France), joint supervision — LRSIA and LISIC laboratories

    Topic:
    Detection, tracking and recognition of moving insects using hyperspectral imaging: application to pest monitoring in agriculture
    Distinction:
    Highest honors (defended on October 23, 2025)
    Supervisors:
    A. Ahouandjinou, G. Delmaire, G. Roussel (co-supervisors) — Committee: M. Gibigaye (chair), S. Fabre, P. Houngue, P. Gouton (reviewers), D. Rousseau (examiner)
  2. 2020 — 2021

    Research Master in Telecommunications and Computer Networks

    Doctoral School of Engineering Sciences (EDSDI), University of Abomey-Calavi — internship at LETIA

    Topic:
    Internet traffic classification using machine learning methods
    Distinction:
    Very good (defended on November 17, 2021)
    Supervisors:
    V. R. Houndji, M. Dossou
  3. 2013 — 2019

    Engineering degree in Computer Science and Telecommunications

    Polytechnic School of Abomey-Calavi

    Topic:
    Study of a dynamic signature verification system using neural networks
    Distinction:
    Good (defended on April 4, 2019)
    Supervisors:
    J. Aoga, M. K. Assogba

Professional Experience

  1. – Present

    Temporary Teaching and Research Assistant (ATER)

    IUT de Laval — Le Mans Université (LIUM), Laval, France

    • Planned teaching load of 192 hours (tutorial equivalent): 97.5 hours in the Bachelor of Technology (BUT) in Computer Science and 94.5 hours in the BUT in Multimedia and Internet (MMI), including lectures, tutorials and lab sessions.
    • Course leader for R5.A.10 “New Database Paradigms” (BUT Computer Science, year 3), R3.02 “Efficient Development” (BUT Computer Science, year 2) and R5.Dweb-DI.06 “Advanced Back-end Development” (BUT MMI, year 3); teaching in R3.12 “Front-end Development and Integration” and R3.16 “Project Management” (BUT MMI, year 2).
    • Design of teaching materials, supervision of student projects (SAÉ 2.03) and follow-up of 11 internships (6 in Computer Science, 5 in MMI) (site visits, feedback on reports, assessment of final reports and defenses).
    • Research at LIUM on human activity recognition from video.
  2. –

    Temporary Teaching and Research Assistant (ATER)

    Université du Littoral Côte d'Opale (ULCO) — LISIC, Calais, France

    • Teaching computer science (201.25 hours, tutorial equivalent) at the Centre Général Universitaire (CGU) in Calais, in first-year MSPI and second-year Computer Science Bachelor's programs: computer architecture, Linux systems, web development.
    • Course responsibilities, design and adaptation of teaching materials, supervision of student projects and internship follow-up.
    • Research at LISIC (Saint-Omer) in image processing, hyperspectral imaging and AI: extension of the weighted spectral recognition approach and crop classification under temporal shift (Sentinel-1 / Sentinel-2).
    • Active participation in the pedagogical and scientific life of the institution (meetings, coordination, science outreach).
  3. –

    Fullstack Developer (Fixed-term contract)

    DMD CONSULT, Cotonou, Benin

    • Functional analysis of client requirements and software architecture design.
    • Development and maintenance of web APIs using Laravel and MySQL.
    • Maintenance and enhancement of existing Symfony-based applications.
    • Development of cross-platform mobile applications using Flutter and deployment on Google Play Store.
  4. –

    Software Development Consultant

    MIFY, Abomey-Calavi, Benin

    • Design and development of educational web platforms (Flask, Django, VueJS, MongoDB, Redis).
    • Development of educational game mobile applications (Flutter, Java).
    • Deployment of web solutions on private and shared servers, and of mobile applications on Google Play Store.
    • Technical contribution to the organization of the MIFY Artificial Intelligence Contest.
    • Technical mentoring and participation in innovative artificial intelligence projects.

Technical Skills

Programming languages
Python, PHP, JavaScript, Matlab
Machine learning
PyTorch, TensorFlow, Keras, Scikit-Learn, XGBoost
Vision and imaging
YOLOv8, Segment Anything (SAM), NVIDIA Jetson
Data analysis
Pandas, NumPy, SciPy, Matplotlib
Web development
HTML / CSS, VueJS, Laravel, Symfony, NodeJS, Flask, Django
Mobile development
Flutter, Java / XML
Databases
MySQL, MongoDB, Redis, Elasticsearch
Operating systems
Linux, Windows
Other technologies
Git, Docker, Apache, LaTeX

Soft Skills

  • Ability to quickly adapt to new working environments and teams
  • Strong pedagogical skills and mentoring abilities
  • Excellent listening and concentration skills
  • Strong scientific writing skills
  • Ability to work efficiently under pressure

Hobbies

Sports, video games, music and participation in technology-related events.