Courses

PhD Course: Computational issues in game theory

PhD Course: Deep Generative Models

PhD Course: Advanced Machine Learning

PhD Course: Microwaves for Sensing: Circuits and Methods for Biomedical Data Analysis

PhD Course: Data Analysis & Signal Processing for Electrical Engineering Applications

PhD Course: Control and Coordination in Cyber-Physical Systems

PhD Course: Privacy in Information Engineering - Digital technologies and artificial intelligence law

PhD Course: Large language models: from BERT to GPT with reinforcement learning

PhD Course: Modelling, Simulation and AI in advanced Separation Processes

PhD Course: Knowledge Organization and Representation

PhD Course: Mathematical Optimization for Machine Learning - Foundations

PhD Course: Advanced methods to design hardware accelerators

PhD Course: Advanced cybersecurity

PhD Course: Federated Learning: Challenges, Trends and Emerging Applications

PhD Course: Approximate Computing & digital systems

PhD Course: Drones for measurements andmeasurements for drones: current applicative scenarios and futureprospective

PhD Course: Networking Issues and Perspective for future generation of IoT systems

PhD: Emerging networking paradigms for 5G/6G systems

PhD Course: Hardware for Deep Learning

PhD Course: Novel device and architecture concepts for CMOS Logic scaling: a reliability engineer perspective

PhD Course: Advanced Cyber Security

PhD Course: Data Analysis & Signal Processing for Electrical Engineering Applications

PhD Course: Statistical data analysis and signal processing techniques for imaging and nondestructive testing

PhD Course: A Primer on Resilient Control Methodologies for Cyber-Physical Systems

PhD course: Digital technologies and artificial intelligence law

PhD Course: Advanced methods to design hardware accelerators

PhD Course: Knowledge Organization and Representation

PhD Course: Large language models: from BERT to GPT with reinforcement learning

PhD course: Approximate Computing & digital systems

PhD Course: Data Stream Mining

PhD Course: Passive microwave circuits basics: PCB and RFIC technologies

PhD Course: Functional Programming for Big Data Processing

PhD course: Modelling and mining multilayer networks

PhD Course: Advanced Deep Learning

PhD Course: Emerging networking paradigms for 5G/6G systems

PhD Course: Design of Experiments: Fundamentals and Modern Challenges

PhD Course: Advanced Cyber Security

PhD Course: A Primer on Resilient Control Methodologies for Cyber-Physical Systems

PhD Course: Digital technologies and artificial intelligence law

PhD Course: Mathematical Optimization for Machine Learning

PhD Course: Quantum Computing and its Application to Machine Learning

Corso PhD: Approximate Computing & Digital Systems

PhD Course: Advanced Edge-Cloud computing systems

PhD Course: Argumentation in Artificial Intelligence

PhD Course: Super-Resolution Methods for Biomedical Microwave Data Analysis

PhD Course: Binary Analysis with Applications to Machine and Deep Learning

PhD Course: Biomedical Systems for Remote Patient Monitoring

PhD Course: Correlation Clustering: from classic to Reinforcement Learning-based theoretical frameworks, with applications to fairness and diversity related problems

Seminar title: Security of Cyber-Physical Systems_ Prof. Walter Lucia

Seminar title: “UAV swarm solutions and applications”_Prof. Carlos Tavares Calafate_Universidad Politécnica de Valencia

Distinguished Lectures_Prof. Enrique Herrera-Viedma_University of Granada

PhD Course: Advanced Deep Learning Models

PhD Course: Deep Learning and Statistical Learning

PhD Course: Approximate Computing for low-energy, high-speed and area-efficient digital circuits and systems: when “good enough” is better than “good”

PhD Course: Spintronic Technology For Energy-Efficient In Memory Computing

PhD Course: IoT and Edge Intelligence

PhD Course: Circuits, Architectures and Systems for Intelligent Computing at the Edge

PhD Course: Distributed Simulation of Complex Engineered Systems

PhD Course: Lipschitz Global Optimization

PhD Course: Fundamentals and Advances in Localization for Cognitive Buildings

PhD Course: Digital technologies and artificial intelligence law

Sensors and metrology: from fundamentals to applications and emerging technologies

Statistical data analysis and signal processing techniques for imaging and non-destructive testing

From Big Data to Big Multidimensional Data: Models, Issues, Challenges - Prof. Cuzzocrea

From Big Data to Big Multidimensional Data: Models, Issues, Challenges - Prof. Cuzzocrea

Corso di Dottorato: “ACTIVE LEARNING” – Prof. S.Flesca

Digital technologies and artificial intelligence law