Explore the programs and courses offered by Artificial intelligence and its applications
Browse Programs Admission InformationThe overarching goal of this doctoral project is to leverage advanced artificial intelligence (AI) techniques to address pressing societal challenges across several strategic domains. It covers diverse PhD research areas, including AI-based hate speech detection, medical image analysis, early heart disease prediction, intelligent agricultural diagnostics, cybersecurity within Internet of Things (IoT) environments, mental health diagnostics, intelligent stress detection systems, and fake news identification.
The project utilizes cutting-edge AI methodologies—such as deep learning, large language models (LLMs), and computer vision—to foster technological innovation and create tangible societal impact.
Practically, the project aims to provide both theoretical frameworks and applied solutions to improve the operations of the Emergency Medical Aid Service (SAMU) and the Algerian Civil Protection, with a focus on responder health and communication efficiency in critical situations.
In agriculture, the goal is to integrate Agriculture 4.0 technologies to boost productivity through customized solutions spanning all stages—from land preparation to post-harvest processes.
This interdisciplinary approach aligns with the visions of Industry 4.0 and University 4.0 by promoting the adoption of smart technologies, fostering cross-disciplinary collaboration, and contributing to human and social development. By tackling challenges related to Information and Communication Technology (ICT) and digitalization, reducing biases, and promoting safer, more inclusive environments, the project contributes to the digital transformation of key sectors such as healthcare, agriculture, and information security.
During the initial years of training, the doctoral student is required to take core courses that support their scientific research and provide them with modern methodological and technical tools. These core courses include:
Artificial Intelligence
Concepts and techniques of AI, machine learning, deep learning, and intelligent algorithms.
Deep Neural Networks Modeling
Design and training of neural networks with applications in computer vision and language processing.
Data Analytics & Data Science
Techniques for collecting, cleaning, and analyzing big data and extracting knowledge.
Research Methodology & Thesis Writing
Skills for preparing research projects, analyzing results, and academic publishing.
AI Ethics & Societal Impact
Issues of privacy, algorithmic biases, and the ethical responsibilities of researchers.
Cybersecurity in Smart Systems
Concepts of information security and data protection in IoT and intelligent systems.
Multidisciplinary AI Applications
AI applications in health, agriculture, public services, and emergency response.
Generative Models
Explainable AI (XAI)
Real-Time Deep Learning
Reinforcement Learning
Disease diagnosis using medical imaging
Mental health tracking through behavior and language analysis
Early detection of heart disease and diabetes using AI
Automated image and video recognition
Medical and industrial image processing
Object tracking and motion analysis
Large Language Models (LLMs)
Discourse analysis and hate speech detection
Real-time machine translation and sentiment analysis
Malware detection using machine learning
Protecting Internet of Things (IoT) infrastructures
Identity verification using digital fingerprints
Use of drones and AI for crop analysis
Predictive modeling for agricultural yield
Precision and data-driven farming
Smart support systems during disasters
First responder behavior analysis
Smart communication and data analysis in the field
Language of Instruction: English is the primary language for training and research. Proficiency in French and Arabic is plus
Admission Requirements :
Selection Process: File evaluation and remote interview if necessary
Duration of Study: 3 to 5 years depending on research progress
Supervision: Direct supervision by specialists in Artificial Intelligence
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