Open to Cybersecurity & AI discussions

M. EL ADOUI

PhD in Computer Science Eng. Cybersecurity Manager Senior AI Expert University Lecturer
ISO/IEC 27001 Lead Implementer ITIL 4 Foundation PRINCE2 Foundation
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Mohammed EL ADOUI
11+
Years experience
29+
Scientific publications
4+
Certifications
Who I am

About me

Holder of a PhD degree in engineering science and technology since March 2021 from the Faculty of Engineering (Umons - Belgium), and previously post-doctoral researcher at the ILIA lab of the University of MONS. I am also a scientific and teaching collaborator in the fields of Artificial Intelligence, Multimedia Processing, and Programming Languages.

Between March 2022 and November 2023 I was postdoctoral researcher at the Faculty of Computer Science of the University of Namur, working in direct collaboration with VOCSenS and the Walloon region to calibrate low-cost gas sensors using new machine learning algorithms.

Currently and since November 2023, I manage IT security at the Parliament of FC in Belgium overseeing the strategic, technological, organizational, and administrative dimensions of Cybersecurity.

Contact Information

Work Email
mohammed.eladoui@pfwb.be
mohammed.eladoui@unamur.be
mohammed.eladoui@umons.ac.be
Personal Email
mohammed.eladoui.phd@gmail.com
Phone
0032 2 282 86 48 or 0032 466 403 456
Address
72, Rue Royale, 1000, Brussels
Citizenship
Belgian
UMONS UNAMUR
Expertise

Skills

Deep LearningExpert
Cyber Security ManagementMastered
Machine LearningMastered
Image & Video ProcessingMastered
NLPAdvanced
C++Expert
PythonExpert
JavaAdvanced
Team ManagementExpert
Vulnerability / Risk AssessmentExpert
Career path

Experience

11/2023 to Present Parliament of FWB, Belgium
Cyber Security Manager and AI Advisor

As Head of IT Security, I oversee the strategic, technological, organizational, and administrative dimensions of cybersecurity.

  • Defining governance structures, roles, and responsibilities related to information security.
  • Developing and maintaining the strategic security roadmap.
  • Establishing and updating the security reference framework (charters, policies, incident response, vulnerability management, etc.).
  • Promoting cybersecurity awareness and coordinating incident management.

As AI Advisor, I provide expert guidance on AI adoption, ensure compliance with ethical and security standards, and support responsible integration of AI into parliamentary operations.

ISMS ISO 27001 Prince2 ITIL NIS2 AI Governance Permanent Contract
04/2025 to Present Universite Libre de Bruxelles (ULB)
Part time Professor (5% appointment)
Teaching activities in computer science, focusing on algorithmics and programming, designing and delivering lectures, preparing practical exercises, and supporting students in understanding computational concepts.
AlgorithmicsProgramming Python
03/2022 to 10/2023 University of Namur, Belgium
Senior ML Engineer & Postdoctoral Researcher
Working directly with industrial partner VOCSenS to find real solutions for predicting gas concentration using low-energy sensors. Applying ML techniques to time-series datasets.
Machine LearningIoT SensorsTime Series
03/2021 to 09/2022 University of Mons (UMONS), Belgium
Postdoctoral Researcher & Teaching Assistant
Pursuing additional research, training, and teaching post-PhD. Applying new AI methods for explainability and interpretability of AI results.
XAIDeep Learning
01/2019 to 12/2019 Case Western Reserve University, Cleveland OH, USA
External Engineer & Researcher
Doctoral thesis work in collaboration with Cleveland Clinic ? data acquisition, validation of proposed methods, and co-authored scientific publications.
Medical ImagingResearch Collaboration
11/2015 to 03/2021 University of Mons (UMONS), Belgium
University Teaching & Research Assistant
Teaching AI, Advanced Deep Learning, OOP, IoT, Mobile & Web technologies, and multimedia processing. Research on breast cancer chemotherapy response prediction using deep learning and imaging, leading to PhD defense.
AI TeachingBreast Cancer ResearchPhD
01/2016 to 12/2016 Jules Bordet Institute, Brussels
Intern Engineer
Understanding and mastering medical issues of the thesis in partnership with radiologists and specialists.
Medical ImagingRadiology
Academic background

Education & Training

09/2016 to 06/2021 Faculty of Engineering, University of Mons, Belgium
Ph.D. in Engineering Sciences and Technology
Worked in collaboration with national and international health institutes to predict breast tumor response to chemotherapy. New imaging and deep learning techniques applied, results published in quality international journals and conferences.
09/2013 to 06/2015 Faculty of Sciences, Fez, Morocco
Master's Degree in Computer Sciences & Image Processing
Obtained with high distinction (16/20). High-level training in applied computing, computer graphics, image synthesis, medical imaging, and information systems.
09/2010 to 06/2013 Faculty of Science, Oujda, Morocco
Bachelor's Degree in Mathematical and Computer Science
Obtained with distinction (16/20). Theoretical and practical training in computer science enabling graduate studies and professional readiness.
Selected work

Projects

11/2023 to 09/2025 Parliament of FC of Belgium
Documentation and Implementation of an ISMS
Full implementation of an Information Security Management System (ISO/IEC 27001) within the Parliament.
ISO 27001ISMS
03/2022 to 02/2025 UNamur & VocSens
Constrained ML to Calibrate Low-cost Gas Sensors
Designing ML models for Industry 4.0 low-cost sensors to predict gas concentrations in the environment.
TinyMLIoTTime Series
12/2018 to 03/2021 UMONS & Case Western
Explainable AI for Medical Imaging
Research on XAI methods applied to medical image analysis ? improving transparency and interpretability of deep learning models in clinical settings.
XAIMedical Imaging
01/2016 to 03/2021 UMONS & Case Western
Breast Cancer Response Prediction via Deep Learning
New imaging and deep learning methods for predicting breast tumor response to neoadjuvant chemotherapy , PhD thesis project.
Deep LearningMRIOncology
07/2018 to 09/2018 UMONS
NAO Body Imitation
Robot programming and body imitation using NAO humanoid robot.
RoboticsComputer Vision
07/2016 to 08/2017 UMONS
Cloud-based Toolbox for Computer Vision
Real-time web-based toolbox for computer vision , accessible from browser, cloud-hosted.
CloudComputer VisionWeb
Research output

Scientific Publications

2023
Constrained Tiny Machine Learning For Predicting Gas Concentration with I4.0 Low-cost Sensors
Mohammed El Adoui et al.
2023
Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks
Arnaud Bougaham, Valentin Delchevalerie, Mohammed El Adoui et al.
2023
Explainable deep learning approach to predict chemotherapy effect on breast tumors MRI
Mohammed El Adoui et al.
2022
Composite Score for Anomaly Detection in Imbalanced Real-World Industrial Dataset
Arnaud Bougaham, Mohammed El Adoui et al.
2022
New Explainable Deep CNN Design For Classifying Breast Tumor Response Over Neoadjuvant Chemotherapy
Journal of Current Medical Imaging
Mohammed El Adoui et al.
2021
Towards Breast Cancer Response Prediction using Artificial Intelligence and Radiomics
IEEE 5th International Conference on Cloud Computing and Artificial Intelligence
Mohammed El Adoui et al.
2020
Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images
Springer , International Journal of Computer Assisted Radiology and Surgery
Mohammed El Adoui et al.
2020
Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: a multi-institutional validation study
Nature Communications
Mohammed El Adoui et al.
2019
MRI breast tumor segmentation using different encoder and decoder CNN architectures
Computers Journal
Mohammed El Adoui et al.
2019
Development and external validation of a deep learning model for predicting response to HER2-targeted neoadjuvant therapy from pretreatment breast MRI
Journal of Clinical Oncology
Mohammed El Adoui et al.
2018
Automated breast tumor segmentation in DCE-MRI using deep learning
IEEE 4th International Conference on Cloud Computing Technologies and Applications
Mohammed El Adoui et al.
2018
A PRM approach for early prediction of breast cancer response to chemotherapy based on registered MR images
International Journal of Computer Assisted Radiology and Surgery
Mohammed El Adoui et al.
2018
Real time web-based toolbox for computer vision
Journal of Science and Technology of the Arts
Mohammed El Adoui et al.
2018
Internet of things: Learning and practices , application to smart home
IEEE International Conference on Advanced Communication Technologies and Networking
Mohammed El Adoui et al.
2017
Breast Cancer Heterogeneity Analysis as Index of Response to Treatment Using MRI Images: A Review
Journal of Imaging in Medicine
Mohammed El Adoui et al.
Google Scholar ResearchGate ORCID
Education

Teaching Activities

Data Analytics Project
Feature engineering Data visualization Machine Learning Graph Mining
Artificial Intelligence
Multi Agent Systems Machine Learning Deep Learning (CNN)
Advanced Deep Learning
NLP RNN, LSTM, GRU Encoder / Decoder
Multimedia Processing
Feature extraction Image indexation Deep learning image indexation
Data Modeling
SQL Database management systems SGBD
Mobile Applications Programming
Flask, Flutter Android and iOS React Native
Object-Oriented Programming (C++)
Algorithm design Fundamental C++ programming
Projects Supervision
Deep Learning projects Image processing projects Robot programming projects
Communication

Languages

French
Native / Second language
English
Fluent in speaking and writing
Dutch (BE)
Basic understanding
Let's connect

Contact

Get in touch

+32 (0)4 66 40 34 56
+32 (0)2 28 28 648
mohammed.eladoui@pfwb.be
mohammed.eladoui.phd@gmail.com
72, Rue Royale, 1000, Brussels
Download Curriculum Vitae

Letters of Recommendation

Prof. Pierre Manneback (Ex-department head) Prof. Mohammed Benjelloun (Head of service) Prof. Sidi Mahmoudi Prof. Said Mahmoudi