Core Courses
Among the fundamental courses offered:
- Network Architecture and Internet of Things
- Artificial Intelligence and Machine Learning
- Blockchain
- Combinatorial and Swarm Optimization
- Big Data
- High Performance Computing
Additional courses include:
- Scientific Research Methodology
- Scientific Communication Techniques
- Writing and Presenting Scientific Work
- Research Ethics and Scientific Integrity
Advanced Topics
Advanced topics depend on the field of specialization. Examples include:
a) Artificial Intelligence & Machine Learning
- Swarm-Driven Deep Learning for Congestion Optimization in Traffic Networks
- Privacy-Preserving Machine Learning-Based Data Processing in Edge Networks
- Deep Learning Model for Forecasting and Detecting Abnormal Behavior in an IoT Environment
- Artificial Intelligence Techniques for Medical Imaging
- AI-Based Cyber Threat Detection
- Real-Time Accurate Elderly Fall Detection Using Advanced AI Technologies
- Precision Rheumatology: Leveraging AI for Personalized Treatment Response Prediction in Rheumatoid Arthritis
- Exploring the Impact of Federated Learning in the Development of Smart Cities Applications
b) Health & Medical Imaging
- Anatomical Pathology and Artificial Intelligence
- AI Techniques for Medical Imaging
- Application of SIAgen for Generating Radiology Reports
c) Intelligent Transportation & Autonomous Systems
- Swarm-Driven Deep Learning for Traffic Optimization
- Implementation of a Digital Twin to Enhance Drone Learning for Flight Object Tracking
d) Cybersecurity & Cryptography
- AI-Based Cyber Threat Detection
- Smart Crypto System as a Future Alternative to Digital Financial Systems
e) Smart Agriculture & Sustainable Development
- Blockchain-Based Information Traceability in Agricultural Sectors
- Multimodal Data Analytics – Applications in Smart Agriculture
f) Embedded Systems & Networks
- Energy Optimization in Safe Embedded Systems
- Optimizing Network Resource Provisioning Using AI Techniques
g) Smart Cities & Distributed Systems
- Exploring the Impact of Federated Learning in Smart Cities