Dr Mohamed Elhadi Rahmani

Enseignant-chercheur

Département d'Informatique Faculté des mathématiques et de l'informatique

À propos

Le Dr Mohamed Elhadi Rahmani est enseignant-chercheur en informatique à l'Université Dr Moulay Tahar de Saida (Algérie) et membre du laboratoire GeCoDe (Generation and Communication of Distributed Data). Il a effectué l'intégralité de son parcours universitaire dans cette institution : Licence en informatique en 2012, Master en Modélisation et Raisonnement des Connaissances en 2014, puis Doctorat en informatique en 2018, avec une thèse consacrée à la modélisation informatique et à l'analyse des écosystèmes. Ses travaux de recherche portent sur l'apprentissage automatique, l'apprentissage profond, les algorithmes bio-inspirés (colonies d'abeilles, écholocation des chauves-souris, algorithme des trous noirs, feux d'artifice) et l'intelligence artificielle appliquée à des problématiques concrètes : reconnaissance d'images de plantes, prédiction des aléas sismiques, modélisation climatique, détection de défaillances robotiques, reconnaissance de la langue des signes américaine (ASL) et, plus récemment, apprentissage fédéré et blockchain pour la détection collaborative sécurisée du diabète. En parallèle de son activité académique, il est développeur et blogueur, auteur du site argelhadi.wordpress.com sur lequel il partage des tutoriels de programmation (Java, C#, Android, PHP/MySQL, Python, R, HTML5/CSS, JavaScript, jQuery, XAML). Il totalise à ce jour un indice h de 6, un i10-index de 4 et plus de 120 citations sur Google Scholar.

Domaines de recherche

Algorithmes bio-inspirésApprentissage automatiqueApprentissage profondIntelligence artificielle générativeRobotiqueModélisation des écosystèmesApprentissage fédéré et blockchain

Publications scientifiques

20251 publication

GenDiabSec: A Federated Recurrent Neural Network with Multistage DNAGen and Blockchain for Secure Collaborative Diabetes Detection
Iranian Journal of Science and Technology, Transactions of Electrical Engineering

20221 publication

Deep Convolutional Real Time Model (DCRTM) for American Sign Language (ASL) Recognition
International Journal of Security and Privacy in Pervasive Computing (IJSPPC), 14(1), 1-13
DOI: 10.4018/ijsppc.309079

20211 publication

Multi-stage Genetic Algorithm and Deep Neural Network for Robot Execution Failure Detection
Neural Processing Letters, 53(6), 4527-4547
DOI: 10.1007/s11063-021-10610-x

20191 publication

Ecological Data Exploration
Advanced Metaheuristic Methods in Big Data Retrieval and Analytics

20184 publications

Sonar Data Classification Using a New Algorithm Inspired from Black Holes Phenomenon
International Journal of Information Retrieval Research (IJIRR), 8(2), 25-39
DOI: 10.4018/IJIRR.2018040102
New Approach Based on Termite's Hill Building for Prediction of Successful Simulations in Climate Models
Climate Change and Environmental Concerns: Breakthroughs in Research and Applications (also IJSIR 8(3))
DOI: 10.4018/IJSIR.2017070103
Bagging Approach for Medical Plants Recognition Based on Their DNA Sequences
International Journal of Social Ecology and Sustainable Development (IJSESD)
Bio-Inspired Algorithms for Ecosystem Data Analysis
Handbook of Research on Biomimicry in Information Retrieval and Knowledge Management

20172 publications

A Novel Bio Inspired Algorithm Based on Echolocation Mechanism of Bats for Seismic States Prediction
International Journal of Swarm Intelligence Research (IJSIR), 8(3), 1-18
DOI: 10.4018/IJSIR.2017070101
Clustering Based Sampling for Learning from Unbalanced Seismic Data Set
International Journal of Geotechnical Earthquake Engineering (IJGEE), 8(2), 1-22

20164 publications

Supervised Machine Learning for Plants Identification Based on Images of Their Leaves
International Journal of Agricultural and Environmental Information Systems, 7(4), 17-31
DOI: 10.4018/IJAEIS.2016100102
Hybridization Between Scoring Technique and Similarity Technique for Automatic Summarization by Extraction
International Journal of Organizational and Collective Intelligence (IJOCI), 6(1), 1-14
DOI: 10.4018/IJOCI.2016010101
New Supervised Approach for Plant Leaves Classification using Artificial Social Bees
International Journal of Organizational and Collective Intelligence (IJOCI), 6(1), 15-28
DOI: 10.4018/IJOCI.2016010102
A Novel Bio Inspired Algorithm Based on Echolocation Mechanism of Bats for Seismic Hazards Detection
Modelling and Implementation of Complex Systems: Proceedings of the 4th Conference

20155 publications

A New Multi-layered Approach for Automatic Text Summaries Mono-Document Based on Social Spiders
IFIP International Conference on Computer Science and its Applications (CIIA 2015), 193-204
DOI: 10.1007/978-3-319-19578-0_16
Hybridization of Social Spiders and Extractions Techniques for Automatic Text Summaries
International Journal of Cognitive Informatics and Natural Intelligence, 9(3), 65-86
DOI: 10.4018/IJCINI.2015070104
Plant Leaves Classification
ALLDATA 2015 Conference
Privacy Preserving Through Fireworks Algorithm Based Model for Image Perturbation in Big Data
International Journal of Swarm Intelligence Research (IJSIR), 6(3), 41-58
DOI: 10.4018/IJSIR.2015070103
A New Bio-Inspired Technique of Artificial Social Cockroaches for Spam Detection with Visual Result Mining
Networking and Advanced Systems Conference

À propos

Dr Mohamed Elhadi Rahmani

À propos

Domaines de recherche

Publications scientifiques

GenDiabSec: A Federated Recurrent Neural Network with Multistage DNAGen and Blockchain for Secure Collaborative Diabetes Detection

Deep Convolutional Real Time Model (DCRTM) for American Sign Language (ASL) Recognition

Multi-stage Genetic Algorithm and Deep Neural Network for Robot Execution Failure Detection

Ecological Data Exploration

Sonar Data Classification Using a New Algorithm Inspired from Black Holes Phenomenon

New Approach Based on Termite's Hill Building for Prediction of Successful Simulations in Climate Models

Bagging Approach for Medical Plants Recognition Based on Their DNA Sequences

Bio-Inspired Algorithms for Ecosystem Data Analysis

A Novel Bio Inspired Algorithm Based on Echolocation Mechanism of Bats for Seismic States Prediction

Clustering Based Sampling for Learning from Unbalanced Seismic Data Set

Supervised Machine Learning for Plants Identification Based on Images of Their Leaves

Hybridization Between Scoring Technique and Similarity Technique for Automatic Summarization by Extraction

New Supervised Approach for Plant Leaves Classification using Artificial Social Bees

A Novel Bio Inspired Algorithm Based on Echolocation Mechanism of Bats for Seismic Hazards Detection

A New Multi-layered Approach for Automatic Text Summaries Mono-Document Based on Social Spiders

Hybridization of Social Spiders and Extractions Techniques for Automatic Text Summaries

Plant Leaves Classification

Privacy Preserving Through Fireworks Algorithm Based Model for Image Perturbation in Big Data

A New Bio-Inspired Technique of Artificial Social Cockroaches for Spam Detection with Visual Result Mining

Dr Mohamed Elhadi Rahmani

À propos

Domaines de recherche

Publications scientifiques

GenDiabSec: A Federated Recurrent Neural Network with Multistage DNAGen and Blockchain for Secure Collaborative Diabetes Detection

Deep Convolutional Real Time Model (DCRTM) for American Sign Language (ASL) Recognition

Multi-stage Genetic Algorithm and Deep Neural Network for Robot Execution Failure Detection

Ecological Data Exploration

Sonar Data Classification Using a New Algorithm Inspired from Black Holes Phenomenon

New Approach Based on Termite's Hill Building for Prediction of Successful Simulations in Climate Models

Bagging Approach for Medical Plants Recognition Based on Their DNA Sequences

Bio-Inspired Algorithms for Ecosystem Data Analysis

A Novel Bio Inspired Algorithm Based on Echolocation Mechanism of Bats for Seismic States Prediction

Clustering Based Sampling for Learning from Unbalanced Seismic Data Set

Supervised Machine Learning for Plants Identification Based on Images of Their Leaves

Hybridization Between Scoring Technique and Similarity Technique for Automatic Summarization by Extraction

New Supervised Approach for Plant Leaves Classification using Artificial Social Bees

A Novel Bio Inspired Algorithm Based on Echolocation Mechanism of Bats for Seismic Hazards Detection

A New Multi-layered Approach for Automatic Text Summaries Mono-Document Based on Social Spiders

Hybridization of Social Spiders and Extractions Techniques for Automatic Text Summaries

Plant Leaves Classification

Privacy Preserving Through Fireworks Algorithm Based Model for Image Perturbation in Big Data

A New Bio-Inspired Technique of Artificial Social Cockroaches for Spam Detection with Visual Result Mining