XXXVIII Edition

PhD Course: Quantum Computing and its Application to Machine Learning

The course will introduce the basic elements of quantum information and quantum computation. Starting from the physical fundaments (principle of superposition, unitary evolution, principle of me...

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

The course is devoted to illustrate a set of super-resolution signal processing techniques, able to estimate relevant biomedical parameters from a limited set of data acquired with microwave sen...

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

Extracting usable information from executable files is a crucial task in nowadays computing, since it is the basis for a plethora of analyses performed in various fields of computer science and ...

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

A cyber-physical system (CPS) is a system of collaborating computational elements controlling physical entities via one or more communication channels. The advent of CPSs is considered a revolut...

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

Communications between UAVs enable all sorts of collaborative tasks, including the creation of UAV swarms, whereby UAVs move according to a certain flight formation that is optimally defined for...

Distinguished Lectures_Prof. Enrique Herrera-Viedma_University of Granada

Distinguished Lecture 1: “About Trustworthy Artificial Intelligence” ...

PhD Course: Deep Learning and Statistical Learning

The course is aimed at reviewing a set of statistical and feature learning methods and tools which can be exploited in data science.We will start by studying probabilistic modeling, the problems...