Laboratoire d’Ingénierie Informatique et Systèmes

مختبر هندسة الحاسوب والنظم

Computer and Systems Engineering Laboratory

Établissement: Faculte des Sciences et Techniques Gueliz

Thématiques: Sciences Informatiques et Transition Numérique, Transition Digitale, Transformation Sociétale et Humanités

Type: Laboratoire

Accréditation: 2025-2028

Chercheurs

239

Publications

242

Communications

Thèses

Miloud AIT HEMAD

0 publications

Laila AMIR

4 publications

Omar BENCHAREF

33 publications

Meriem BENHADDI

5 publications

Outmane Bourkoukou

2 publications

Nawal BOURQUIA

3 publications

Khadija BOUZAACHANE

12 publications

Aziz DAROUICHI

8 publications

Hassan EL BAHI

8 publications

ABDESSAMAD EL BOUSHAKI

1 publications

Salah EL HADAJ

PES

18 publications

Soulaimane KALOUN

21 publications

My Driss LAANAOUI

8 publications

Mohamed LACHGAR

15 publications

Afaf Mosaif

5 publications

Youssef Nait Malek

0 publications

Aziz OUAARAB

3 publications

Ahmad Outfarouin

0 publications

Sara Qassimi

41 publications

Said Rakrak

PES

35 publications

Yassine Sadqi

0 publications

mohamed yassine samiri

0 publications

Oumaima STITINI

17 publications

Addressing Modern Cybersecurity Challenges: A Hybrid Machine Learning and Deep Learning Approach for Network Intrusion Detection

Khadija Bouzaachane, El Mahdi El Guarmah, Abdullah M. Alnajim, Sheroz Khan

CMC-Computers, Materials & Continua 2025

Towards a Multi-Objective and Contextual Multi-Criteria Recommender System for Enhancing User Well-Being in Sustainable Smart Homes

Oumaima Stitini, Soulaimane Kaloun

Electronics 2025

EnviScan+: AI-driven plant identification and eco-system management for sustainable agriculture

Oumaima Stitini, Mohamed Lachgar, Bouleknadel Abderrahmane, Mandour Iyass

SoftwareX 2025

A Scenario Case Study of a Recommender System Designed Using Various Collaborative Filtering Algorithm Techniques

Oumaima Stitini, Soulaimane Kaloun, Omar Bencharef

Intelligent Systems and Advanced Computing Sciences (ISACS 2023) 2025

Dynamic Context-Aware Action Recommendation via Enhanced Hybrid Sequential Modeling

Mohamed El Amine Chafiki, Oumaima Stitini, Soulaimane Kaloun

Lecture Notes in Networks and Systems 2025

3D AGRes-UNet: an advanced deep learning model for brain tumor segmentation from multimodal MRI

Khaoula Echine, Aziz Darouichi

Multimedia Tools and Applications 2025

<scp>TAU‐EffNetB7</scp>: A Novel Triple Attention U‐Net Approach Using <scp>EfficientNetB7</scp> for Enhanced Polyp Segmentation

Fouzia El Abassi, Aziz Darouichi, Aziz Ouaarab

International Journal of Imaging Systems and Technology 2025

Refining U-Net Architecture Through Genetic Algorithms for Improved Skin Lesion Image Segmentation

Fouzia El Abassi, Aziz Darouichi, Aziz Ouaarab

Communications in Computer and Information Science 2025

Hybrid Model with Wavelet Decomposition and EfficientNet for Accurate Skin Cancer Classification

Amina Aboulmira, Hamid Hrimech, Mohamed Lachgar, Mohamed Hanine, Carlos Osorio Garcia, Gerardo Mendez Mezquita, Imran Ashraf

Journal of Cancer 2025

decideXpert: Collaborative system using AHP-TOPSIS and fuzzy techniques for multicriteria group decision-making

Abdelghani Saoud, Mohamed Lachgar, Mohamed Hanine, Roa El Dhimni, Kawtar El Azizi, Hajar Machmoum

SoftwareX 2025

Page 1 sur 24 Suivant →

Reactive transport in heterogeneous porous media

Laila Amir, Michel Kern

Slovak- Austrian Mathematical Congress September 16-21, 2007

Coupling transport with geochemistry and applications to CO2 sequestration

M. Kern, L. Amir, B. Gueslin

3rd International Conference of SM2A Sept 12-13, 2012

Engine Fault Signals Diagnosis using Genetic Algorithm and K-means based Clustering

"Soukaina Mjahed, Salah El Hadaj, Khadija Bouzaachane, SAid Raghay "

International Conference on Learning and Optimization Algorithms: Theory and Applications May 2018

A nonlinear preconditionner for coupling transport with chemistry in porous media

laila Amir, Michel Kern

SIAM Conference on Mathematical and Computational Issues in the Geoscience Mars 11-14, 2019

Comparison of ensemble learning methods applied to network intrusion detection

Mustapha Belouch, Salah El hadaj

the Second International Conference on Internet of things, Data and Cloud Computing March 2017

A Semantic Approach for Mathematical Expression Retrieval

Soulaimane Kaloun, Zahra ASEBRIY, Omar BENCHAREF

3rd International Conference on Knowledge and Software Engineering March 20-22, 2017

TOWARDS THE DETECTION OF FAKE NEWS PATTERNS USING MULTI CLASSIFICATION OF UNLABELED DATA

Oumaima Stitini, Soulaimane Kaloun , Omar Bencharef and Sara Qassimi

International Network of Research and Training March 06-07, 2021

How Can We Analyse Emotions On Twitter During An Epidemic Situation? A Feature Engineering Approach To Evaluate People’s Emotions During The Covid-19 Pandemic

Oumaima Stitini, Ali Twil, Soulaimane Kaloun , Omar Bencharef

International Network of Research and Training March 06-07, 2021

Comparative Study of Classification Algorithms for Big Data in VANET

Bahije Najat; EL Hadaj Salah

International Conference on Advances in Computing and Communication Engineering (ICACCE) June 2018

Some strategies of linear and nonlinear preconditionning for reactive transport

Laila Amir, Michel Kern

SIAM Conference on Mathematical and Computational Issues in the Geosciences June 17-20, 2013

Page 1 sur 25 Suivant →

Système embarqué intelligent pour la detection et la reconnaissance automatique ́ des atterrissages d’urgence d’Aeronefs ́

Auteur: Adil ILLI

Directeur: Salah El Hadaj, El Mahdi EL Guarmah et Khadija Bouzaachane

2026

Optimization of Supervised and Unsupervised Learning by using New Bio-Inspired Metaheuristic Techniques

Auteur: Ouail MJAHED

Directeur: EL HADAJ Salah

2024

Optimisation des apprentissages supervisés et non-supervisé par l'usage de nouvelles métaheuristiques

Auteur: Ouail Mjahed

Directeur: Salah El Hadaj et El Mahdi EL Guarmah

2024

MACHINE LEARNING AVEC BIG DATA, AIDER LES PERSONNES AGEES A VIVRE DE FAÇON INDEPENDANTE

Auteur: Mariam BENLLARCH

Directeur: Salah EL HADAJ

2023

Data Sciences Algorithms Adaptation for Stream Mining : Application on the Forex Market

Auteur: Zineb Bousbaa

Directeur: Omar BENCHAREF

2023

MISE EN PLACE DE SYSTEMES DE RECOMMANDATION: ETUDES DE CAS

Auteur: Hana JAMALI

Directeur: Omar BENCHAREF

2023

Machine Learning with Big Data, Helping Older People Living Independently.

Auteur: Mariam Benllarch

Directeur: El Hadaj Salah

2023

La Gestion de l’Internet des Objets Visuels

Auteur: Mosaif Afaf

Directeur: said rakrak

2022

A QUANTUM MACHINE LEARNING APPROACH FOR RECOMMENDER SYSTEMS

Auteur: Oumaima OUEDRHIRI

Directeur: Salah EL HADAJ

2022

Optimisation robuste et mise en place des systèmes de recommandation à base d'intelligence artificielle

Auteur: Oumaima Stitini

Directeur: Soulaimane KALOUN

2022

Page 1 sur 3 Suivant →

Système Intelligent pour la prise en charge et la gestion des protocoles de traitement des patients atteints par la pandémie : cas Covid19

Programme de soutien à la Recherche Scientifique et Technologique en Lien avec le "COVID-19" 2021 - 2023

Système Intelligent pour la prise en charge et la gestion des protocoles de traitement des patients atteints par la pandémie : cas Covid19

UCA 2021 - 2023

SIAD-COVID : Système Intelligent d’Aide aux Diagnostics de Coronavirus COVID-19

Programme de soutien à la Recherche Scientifique et Technologique en Lien avec le "COVID-19" Darouichi Aziz 2021 - 2023

SIAD-COVID : Système Intelligent d’Aide aux Diagnostics de Coronavirus COVID-19

Programme de soutien à la Recherche Scientifique et Technologique en Lien avec le "COVID-19" 2021 - 2023

Laboratoire d’Ingénierie Informatique et Systèmes

Miloud AIT HEMAD

Laila AMIR

Omar BENCHAREF

Meriem BENHADDI

Outmane Bourkoukou

Nawal BOURQUIA

Khadija BOUZAACHANE

Aziz DAROUICHI

Hassan EL BAHI

ABDESSAMAD EL BOUSHAKI

Salah EL HADAJ

Soulaimane KALOUN

My Driss LAANAOUI

Mohamed LACHGAR

Afaf Mosaif

Youssef Nait Malek

Aziz OUAARAB

Ahmad Outfarouin

Sara Qassimi

Said Rakrak

Yassine Sadqi

mohamed yassine samiri

Oumaima STITINI

Addressing Modern Cybersecurity Challenges: A Hybrid Machine Learning and Deep Learning Approach for Network Intrusion Detection

Towards a Multi-Objective and Contextual Multi-Criteria Recommender System for Enhancing User Well-Being in Sustainable Smart Homes

EnviScan+: AI-driven plant identification and eco-system management for sustainable agriculture

A Scenario Case Study of a Recommender System Designed Using Various Collaborative Filtering Algorithm Techniques

Dynamic Context-Aware Action Recommendation via Enhanced Hybrid Sequential Modeling

3D AGRes-UNet: an advanced deep learning model for brain tumor segmentation from multimodal MRI

<scp>TAU‐EffNetB7</scp>: A Novel Triple Attention U‐Net Approach Using <scp>EfficientNetB7</scp> for Enhanced Polyp Segmentation

Refining U-Net Architecture Through Genetic Algorithms for Improved Skin Lesion Image Segmentation

Hybrid Model with Wavelet Decomposition and EfficientNet for Accurate Skin Cancer Classification

decideXpert: Collaborative system using AHP-TOPSIS and fuzzy techniques for multicriteria group decision-making

Reactive transport in heterogeneous porous media

Coupling transport with geochemistry and applications to CO2 sequestration

Engine Fault Signals Diagnosis using Genetic Algorithm and K-means based Clustering

A nonlinear preconditionner for coupling transport with chemistry in porous media

Comparison of ensemble learning methods applied to network intrusion detection

A Semantic Approach for Mathematical Expression Retrieval

TOWARDS THE DETECTION OF FAKE NEWS PATTERNS USING MULTI CLASSIFICATION OF UNLABELED DATA

How Can We Analyse Emotions On Twitter During An Epidemic Situation? A Feature Engineering Approach To Evaluate People&rsquo;s Emotions During The Covid-19 Pandemic

Comparative Study of Classification Algorithms for Big Data in VANET

Some strategies of linear and nonlinear preconditionning for reactive transport

Système embarqué intelligent pour la detection et la reconnaissance automatique ́ des atterrissages d’urgence d’Aeronefs ́

Optimization of Supervised and Unsupervised Learning by using New Bio-Inspired Metaheuristic Techniques

Optimisation des apprentissages supervisés et non-supervisé par l'usage de nouvelles métaheuristiques

MACHINE LEARNING AVEC BIG DATA, AIDER LES PERSONNES AGEES A VIVRE DE FAÇON INDEPENDANTE

Data Sciences Algorithms Adaptation for Stream Mining : Application on the Forex Market

MISE EN PLACE DE SYSTEMES DE RECOMMANDATION: ETUDES DE CAS

Machine Learning with Big Data, Helping Older People Living Independently.

La Gestion de l’Internet des Objets Visuels

A QUANTUM MACHINE LEARNING APPROACH FOR RECOMMENDER SYSTEMS

Optimisation robuste et mise en place des systèmes de recommandation à base d'intelligence artificielle

Système Intelligent pour la prise en charge et la gestion des protocoles de traitement des patients atteints par la pandémie : cas Covid19

Système Intelligent pour la prise en charge et la gestion des protocoles de traitement des patients atteints par la pandémie : cas Covid19

SIAD-COVID : Système Intelligent d’Aide aux Diagnostics de Coronavirus COVID-19

SIAD-COVID : Système Intelligent d’Aide aux Diagnostics de Coronavirus COVID-19

How Can We Analyse Emotions On Twitter During An Epidemic Situation? A Feature Engineering Approach To Evaluate People’s Emotions During The Covid-19 Pandemic