XXXVII Edition

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 ...

PhD Course: Biomedical Systems for Remote Patient Monitoring

Biomedical systems based on radar adoption represent an emerging technology in telemedicine and Internet of Things (IoT). They can remotely measure heartbeat and respiration, speed, and position...

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

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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: Advanced Deep Learning Models

Deep Learning (DL) is used in different fields of engineering and is proving exceptionally useful for solving problems of extraordinary complexity that until a few years ago could only be addres...

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...

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

The design optimization of digital circuits and systems typically consists in a three- dimensional trade-off among energy dissipation, area occupancy and computational speed. ...

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

Spintronic technology has emerged as a promising technology to address the issues of volatility and static power dissipation resulting from the scaling down of CMOS technology towards the end of...