Security, Intelligent Systems Applications, and Robotics

Advancing knowledge and innovation in cybersecurity, intelligent systems, applied artificial intelligence, and robotics

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About SISAR

SISAR is a research team dedicated to advancing knowledge and innovation in cybersecurity, intelligent systems, applied artificial intelligence, and robotics. It is part of the Intelligent and Sustainable Technologies Laboratory (LaRTID) at Cadi Ayyad University in Marrakech, Morocco.

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Research Interests

Cybersecurity

Intrusion Detection & Prevention, Network Security, Cryptography, Blockchain and Digital Trust Models

Artificial Intelligence

AI & Cybersecurity in Healthcare, Explainable AI (XAI), Large Language Models (LLM), Tiny ML

Networks & IoT

Cloud-IoT security with AI and Blockchain, Next Generation Network Security, Cyber Physical Systems

Smart Environments

Smart Cities, Healthcare Systems, Renewable Energy, Big Data and sustainability

Emerging Technologies

Quantum computing, Internet of Everything (IoE), E-Health, Web 4.0 and Virtual Reality

Data Analytics

Big Data Analytics for IoT-Based Smart Farming, Water Quality, and Predictive Maintenance

Publications

Team Members

Azidine Guezzaz

Azidine Guezzaz

Higher School of Technology Essaouira

Cadi Ayyad University, Marrakech, Morocco

Said Benkirane

Said Benkirane

Higher School of Technology Essaouira

Cadi Ayyad University, Marrakech, Morocco

Mohamed EDDABBAH

Mohamed EDDABBAH

Higher School of Technology Essaouira

Cadi Ayyad University, Marrakech, Morocco

Thesis Supervision

Current Theses

2024

Reinforcement of Data Privacy and Protection in Healthcare Systems using Artificial Intelligence and Blockchain

2024

Optimization of Predictive Maintenance and Renewable Energy Storage Strategies based on Artificial Intelligence

2024

Internet of Everything (IoE), Web 4.0 and Virtual Reality to build better Medical Platforms

2023

Security of Mobile Edge Computing and Next-Generation IoT network (Thesis Joint with Artois University French)

2023

Artificial Intelligence and Big Data Analytics for a IoT-Based Smart Farming and Water Quality

2022

Cyber-Security in Cloud-Assisted Cyber-Physical Systems (CPS) and Mobile Edge Computing using Blockchain and Artificial Intelligence

2022

Prediction of the progression of chronic diseases using "Machine Learning" algorithms

Defended Theses

2025

Machine learning approaches for Traffic prediction and transportation in VANET environment

2024

Deep learning application for security in smart cities

2024

Blockchain-based security and machine learning for an Internet of Things environment

2024

Towards an intelligent model for intrusion detection in IoT environments based on machine learning techniques

2024

Deep Learning Techniques for a New Approach to Cloud Computing Monitoring and Security

2024

Intelligent Machine Learning algorithm for Education and Clinical Reasoning in Health Sciences

Events

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