Research & DevelopmentActive2025
PhD Research – ENSA Tetouan
Pursuing a PhD focused on AI-driven automated rehabilitation protocols with a multi-modal federated approach.
Client
ENSA Tetouan / Research Community
Timeline
2025 – Ongoing
Impact
Ongoing
Project Overview
This PhD research project at ENSA Tetouan focuses on developing innovative AI-driven automated rehabilitation protocols using a multi-modal federated approach, contributing to the advancement of personalized healthcare and rehabilitation technologies.
Impact & Results
Ongoing
Advancing knowledge in AI-based personalized rehabilitation
Published 5+ peer-reviewed research papers
Presented at 3 international conferences
Developed 2 novel machine learning algorithms
Established collaborations with leading healthcare institutions
Technologies Used
Artificial IntelligenceMachine LearningData AnalysisResearch
Key Features
Advanced research in AI and healthcare applications
Multi-modal data integration from various sensors and devices
Publication of peer-reviewed scientific papers
Collaboration with academic and medical experts
Development of novel machine learning algorithms
Clinical trial design and implementation
International conference presentations
Challenges
Integrating diverse data sources and modalities
Ensuring patient privacy and data security
Validating AI models for clinical applications
Bridging the gap between research and practical implementation
Solutions
Developed federated learning approaches for privacy preservation
Created robust data integration and preprocessing pipelines
Established partnerships with healthcare institutions for validation
Designed practical implementation frameworks for clinical use
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