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Mohamed Hamlich
Affiliation : University of Hassan II Casablanca
- 63Publications (affiliation in Morocco)
- 75Total publications
- 479Citations
- 13h-index
Research profile
Mohamed Hamlich has 63 indexed publications (2016–2026). Their work appears mainly in “Communications in computer and information science”, “Progress in Artificial Intelligence” and “SSRN Electronic Journal”. Their most cited article, “Towards big industrial data mining through explainable automated machine learning” (2022), has been cited 71 times. 31 of these publications date from the last three years of activity. Their work is co-authored with at least 12 researchers, including institutions in France, Spain.
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Create my free profile Add my publicationsResearch areas
- Robot Manipulation and Learning
- Machine Learning and Data Classification
- Topic Modeling
- Digital Transformation in Industry
- Data Mining and Machine Learning Applications
Publications (63)
- Explainable AI for Energy Prediction in Smart Building
- NoRMA: A Multi-agent Communication-Centric Dataset for Enhanced Customs Nomenclature Classification
- Advancing Human-Robot Interaction for Smart Disassembly with Artificial Intelligence: Case of Real-Time Voice Controlled for a Cobot
- Voice as Policy: A Language-Driven HMI with Visual Target Coordinates
- Synthetic data generation framework for quality control automation in gravure printing
- Multi-Agent System-driven Digital Twins for predictive maintenance: architectures, technologies and open research challenges
- Multi-View Dual-Contrastive Graph Learning with Adaptive Agreement for Semi-Supervised Text Classification
- Optimized robotic sequence planning and recommendation: a human–robot collaboration case study in computer disassembly
- From CO 2 Forecasting to Occupancy Inference: Performance Limits of LSTM Networks with Temporal Feature Engineering
- Design and simulation of an interactive human robot disassembly system for end of life phones
- The future of robotic disassembly: a systematic review of techniques and applications in the age of AI
- Adaptive Particle Swarm and Ant Colony Optimization Path Planning for Autonomous Robot Navigation
- AI-Driven Robotic Disassembly: Harnessing IoT and Data Collection for Sustainable E-Waste Solutions
- Enhancing text classification with BERT-based graph representations using novel contextual metrics
- Design and Simulation of an Interactive Human Robot Disassembly System for End of Life Phones
- Energy-Efficient On-Device Reinforcement Learning for Adaptive Multi-Sensor Scheduling in Resource-Constrained Edge Systems
- Quantization-Aware Conformal Prediction Framework for Trustworthy Myocardial Infarction Detection: Implementation and Validation on Resource-Constrained Hardware
- Evaluating Automatic Annotation Techniques for Fine-Tuning Large Language Models in Financial Sentiment Analysis
- Assistive Cobot for E-Waste Disassembly: Multi-Sensor HRC with Tool Recommendation
- MultiModal Human-Robot Interaction for Cobot-Assisted Disassembly: A Comparative Study of Voice, Gesture, GUI, and Brain Signal Control
- LiDAR vs Camera in Robotic Disassembly: A Comparative Study of Safety and Perception in Human–Robot Collaboration
- Navigation method for autonomous mobile robots based on ROS and multi-robot improved Q-learning
- Toward predicting entrepreneurial activity among Moroccan Entrepreneurs: A machine learning approach
- Network intrusion detection in big datasets using Spark environment and incremental learning
- Exploring the impact of preprocessing and feature extraction on deep learning-based sentiment analysis for big data in apache spark
- Human-Robot Collaboration in Remanufacturing: An Application for Computer Disassembly
- Enhancing Sentiment Analysis of Movie Reviews with PySpark
- Collaborative and dynamic kernel discriminant analysis for large-scale problems: applications in multi-class learning and novelty detection
- A novel approach for locating and hunting dynamic targets in unknown environments
- A Comprehensive Study on Explainable Energy Consumption Patterns in Smart Buildings
- Industry 4.0: Internet of Things and Cyber-Physical Systems for the Implementation of Pedagogical Factory Digital Twin
- Autoencoder-kNN meta-model based data characterization approach for an automated selection of AI algorithms
- Evaluation of AutoML Tools for Manufacturing Applications
- Version [2.0]- [AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data]
- Joint consideration of Production, Quality and Maintenance: a Bibliometric Analysis
- Towards big industrial data mining through explainable automated machine learning
- Using meta-learning for automated algorithms selection and configuration: an experimental framework for industrial big data
- Hunting strategy for multi-robot based on wolf swarm algorithm and artificial potential field
- Towards Meta-Learning Based Data Analytics to Better Assist the Domain Experts in Industry 4.0
- Smart Applications and Data Analysis
- Toward an Automatic Assistance Framework for the Selection and Configuration of Machine Learning Based Data Analytics Solutions in Industry 4.0
- Product defect detection based on convolutional autoencoder and one-class classification
- A sight on defect detection methods for imbalanced industrial data
- Scalable Meta-Bayesian Based Hyperparameters Optimization for Machine Learning
- Data-Driven Solutions for Electricity Price Forecasting: The Case of EU Improvement Project
- A new remote monitoring device to track magnetic resonance imaging machine cooling system failures
- Collaborative Kernel Discriminant Analysis for Large Scale Multi Class Problems
- AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data
- Towards the Automation of Industrial Data Science: A Meta-learning based Approach
- Machine Learning based Intrusion Detection for Cyber-Security in IoT Networks
- Improvised multi-robot cooperation strategy for hunting a dynamic target
- Hybrid Formation Control for Multi-Robot Hunters Based on Multi-Agent Deep Deterministic Policy Gradient
- Real time monitoring of water Quality using IoT and Deep learning
- Special Issue on Smart Applications and Data Analysis for Smart Cyber–Physical Systems
- Improvised multi-robot cooperation strategy for hunting a dynamic target
- Machine learning methods against false data injection in smart grid
- Photocatalytic degradation of methylene blue by the use of titanium-doped Calcined Mussel Shells CMS/TiO2
- A new Robust Heterogeneous Multi-Robot Approach Based on Cloud for Task Allocation
- Real-Time False Data Detection in Smart Grid Based on Fuzzy Time Series
- A Robust False Data Detection in Smart Grid Using Trees Decision Algorithm
- Robust Adaptive Backstepping Control of the Induction Machine, Using Parallel Rotor Resistance and Stator Resistance Observer
- A Robust False Data Detection in Smart Grid Using Trees Decision Algorithm
- Applying the SAC Algorithm to Extract the Cardiologic Indicators of an Athlete's Level
Publication venues
- Communications in computer and information science × 8
- Progress in Artificial Intelligence × 5
- SSRN Electronic Journal × 5
- arXiv (Cornell University) × 2
- Research Square × 2
- Frontiers in Robotics and AI × 2
Publications per year
- 202610
- 202511
- 202410
- 20234
- 202212
- 20217
- 20202
- 20193
- 20183
- 20161
Collaborations
Partner institutions : École Marocaine des Sciences de l'Ingénieur · Laboratoire d’Informatique Signal et Image de la Côte d’Opale · Université Hassan II Mohammedia · Arts et Métiers · Université Toulouse-I-Capitole
Co-authors’ countries : France · Spain
Co-authors
- Soufiane Ameur
- Mohamed Tabaa
- Moncef Garouani
- Kaouter Karboub
- Oussama Hamed
- Ibtissam Youb
- Abdelkarim El Khantach
- Korota Arsène Coulibaly
- Amine Khatib
- Zineb Hidila
- Meryem Chaabi
- Alami Essaadoui
Bibliographic data from OpenAlex (open database).
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