Course on “Thresholds for a SIR Model on One-Dimensional Small-World Networks”

Schedule: 11 May 2021, 14:00 GMT/16:00 Italian time

Virtual linkhttps://us02web.zoom.us/j/83390778311

Speaker: Andrea Clementi (Università di Roma “Tor Vergata”)

TITLE: Sharp Thresholds for a SIR Model on One-Dimensional Small-World Networks

ABSTRACT: After a short overview of the basic notions of the classic Susceptible-Infectious-Recovered (SIR) epidemic model in the fully-mixed scenario, we review some fundamental results of the discrete-time version of the SIR model, known as Reed-Frost model, in some simple network topologies. We then consider the the Reed-Frost model over “small-world” graphs, in which graphs are obtained by adding random edges to a cycle. In 3-regular graphs obtained as the union of a cycle and a random perfect matching, we show that there is a sharp threshold at 0.5 for the contagion probability along edges. In graphs obtained as the union of a cycle and of an Erdos-Renyi random graph with n nodes and edge probability c/n, we show that there is a sharp threshold p_c for the contagion probability: the value of p_c turns out to be about 0.41 for the sparse case c=1 yielding an expected node degree similar to the random 3-regular graphs above. In both models, below the threshold we prove that the infection only affects O(log n) nodes, and that above the threshold it affects Omega(n) nodes. These are the first fully rigorous results establishing a phase transition for SIR models (and equivalent percolation problems) in small-world graphs. Although one-dimensional small-world graphs are an idealized and unrealistic network model, a number of realistic qualitative phenomena emerge from our analysis, including the spread of the disease through a sequence of local outbreaks, the danger posed by random connections, and the effect of super-spreader events. This is a joint research with Luca Becchetti, Riccardo Denni, Francesco Pasquale, Luca Trevisan, and Isabella Ziccardi.

BIO:  Andrea Clementi is Professor of Computer Science at the University of Rome “Tor Vergata”. He graduated with honors in Mathematics and got the PhD in Computer Science at Sapienza University of Rome. He was a researcher at Sapienza University of Rome and at the University of Geneva. He is now teaching the courses “Algorithms and Data Structures” and “Distributed Algorithms and Complex Networks” in the Degree Program in Computer Science of the University of Rome “Tor Vergata”. He is currently a member of the Doctoral College in Engineering and Information Sciences of the University of L’Aquila. His current scientific interests are in algorithm theory and applied probability, in particular, in the modeling and analysis of stochastic processes of distributed systems. He has published more than ninety articles in major international journals and conference proceedings.

Corso EURES per la mobilità

Si terrà nel mese di maggio 2021 all’Università degli Studi dell’Aquila, all’interno del Dottorato di Ricerca in Ingegneria Industriale e dell’Informazione e di Economia, la II° edizione del corso “EURES: La mobilità una regola non più un’eccezione”, organizzato dal Servizio EURES della Regione Abruzzo in collaborazione con il Coordinamento Nazionale EURES-ANPAL.

Il corso è stato realizzato per la prima volta nel 2018, vedendo la partecipazione di allievi di diversi Corsi di Dottorato dell’Ateneo aquilano e riscuotendo un grande interesse da parte di tutti i partecipanti. L’iniziativa ha inoltre ottenuto diversi riconoscimenti a livello europeo, trattandosi del primo corso universitario che in Europa ha coinvolto la rete EURES . Il progetto è stato considerato una “best-practice”, non solo in termini di comunicazione e promozione della rete europea del lavoro, ma
anche di integrazione formale della stessa nei sistemi di istruzione e formazione accademica.

Obiettivo del corso, strutturato in 5 giornate e le cui lezioni si svolgeranno il 6-7, 13-14 e 21 maggio, è quello di fornire una adeguata conoscenza degli strumenti e opportunità in grado di favorire il trasferimento in un altro paese per motivi di studio, formazione o lavoro. Pertanto saranno trattati diversi argomenti inerenti il tema della mobilità transnazionale: la normativa, l’organizzazione e i servizi della Rete EURES, i progetti di mobilità europea e le misure di finanziamento, le opportunità di tirocinio e carriera nelle istituzioni e agenzie europee, l’acquisizione delle competenze trasversali, il riconoscimento delle qualifiche professionali e dei titoli di studio nell’Unione Europea, la sicurezza sociale, la tassazione e la legislazione connesse alla libera circolazione dei lavoratori nell’UE, gli aspetti principali del fenomeno migratorio italiano e del sistema di rappresentanza degli Italiani all’estero, nell’ottica di fornire agli studenti un quadro piuttosto completo del concetto di mobilità e degli elementi
pratici e strumenti concreti per approcciarsi ad esperienze di lavoro e formazione in ambito europeo.

Il corso vedrà la partecipazione di rappresentanti del Coordinamento
Nazionale EURES, della rete dei Consulenti EURES italiani e della Danimarca, Svezia, Irlanda, Olanda, Francia, Portogallo, Germania, oltre che di esperti dell’emigrazione e Responsabili nazionali di reti e programmi europei a supporto della mobilità, quali Europass, Euroguidance, EQF-Quadro europeo delle qualifiche professionali, Eurodesk, Euraxess,
Europe Direct, Erasmus Giovani Imprenditori, Erasmus+).

[Locandina con dettagli per la connessione]

 

Coure “LMIs for Optimization and Control”

This year we are happy to host a EECI school in control at L’Aquila. Given the pandemic situation unfortunately the course will be given online.
 
The course is entitled
 
“LMIs for Optimization and Control”
 
and will be given by
 
Professor Didier Henrion
http://homepages.laas.fr/henrion
 
All information regarding the contents of the course and the time table are here:
 
 
The course will be given online with Zoom, you can find the connection details below.
 
Time: Apr 26, 2021 09:30 AM Paris
         Every day, 5 occurrence(s)
         Apr 26, 2021 09:30 AM
         Apr 27, 2021 09:30 AM
         Apr 28, 2021 09:30 AM
         Apr 29, 2021 09:30 AM
         Apr 30, 2021 09:30 AM


Join Zoom Meeting
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Meeting ID: 959 8813 6379
Passcode: 611995
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Find your local number: https://zoom.us/u/abxCvIUNxj
 

Course on “Machine Learning for Smart Cities Automation”

Teacher: Prof. Alessandro D’Innocenzo
Duration: 12 hours
Where: Via the MS Team “PhD ICT – Seminars and Courses
 
The course schedule will be the following:
 
Lecture 1 – 24/03/2021 – 9:00-12:00: Regression Trees (RT) and Random Forests (RF)
 
Lecture 2 – 26/03/2021 – 9:00-12:00: Switching ARX (SARX) models and Model Predictive Control (MPC)
 
Lecture 3 – 09/04/2021 – 9:00-12:00: Joint mathematical framework for RT/RF, SARX and MPC
 
Lecture 4 – 16/04/2021 – 9:00-12:00: Application to Climate control and Structural Health Monitoring in Building Management Systems

Course on Introduction to Quantum Computing

Speakers:
Leonardo Guidoni (Univaq)
Hands on tutorial lead by Experts from IBM

The present short course is a joint PhD course between the PhD in Mathematics and Models and the PhD in Informatics. The aim of the short course is to provide to students with background in mathematics and informatics the foundation of quantum computation. The course will consist of theoretical lectures as well as hands-on tutorial lead by the Quantum Computing experts from IBM-Italia.

Arguments: General overview on quantum computation. Introduction to Quantum Mechanics and Qubits. Quantum circuits and algorithms. Single and double Qubit gates with examples. Present and future applications. Perspective of quantum computation and practical implementation of algorithms on the IBM-Q quantum computer and simulator.

 

Lectures (14 hours):
January 22nd 11.00-13.00
January 29th 11.00-13.00
February 5th 11.00-13.00
February 12th 11.00-13.00
February 19th 11.00-13.00 IBM hands-on tutorial
February 26th 11.00-13.00 + 14.30-16.30 IBM hands-on tutorial

Machine Learning over Networks

Machine Learning over Networks
Prof
Carlo Fischione,  https://people.kth.se/~carlofi/

January 19th 10-13, January 20th 10-12

Microsoft Team: PHD ICT – Seminars and Courses

 

Short description:
One of the main characteristics of the Internet of Things (IoT) technological revolution is the generation of huge quantities of data. Such wealth of data and their use in several new IoT technologies is forcefully motivating the development of data analysis methods, namely machine learning. Currently, machine learning needs big datasets and very huge computational and communication resources. However, in IoT, data sets of any size will be distributed among several nodes (people, devices, objects, or machines) that might not be able to perform the computations and to share data.

Unfortunately, existing machine learning methods are mostly intended for proprietary or high performing networks such as in data centres. They would greatly stress the public communication networks of IoT, such as 5G wireless networks and beyond. In these networks, machine learning methods will encounter new challenges in terms of computation, bandwidth, scalability, privacy, and security.  Machine learning over networks face a lack of understanding of the fundamental methods, and poor performance of their algorithms.

In this PhD course, we highlight the need of establishing a new fundamental theory for machine learning over networks. We give an overview of the state-of-the-art and some of our recently proposed developments. The syllabus will be around the following topics:

  1. Introduction to Machine Learning for the IoT
  2. Background on Machine Learning
  3. Distributed Machine Learning
  4. Wireless for Machine Learning
  5. Co-design of Machine Learning and Wireless

Collective decision making and swarm robotics

Speaker: Giulia De Masi (Adjunct Professor at Zayed University) 

Duration:10h

Dates: 9, 11, 14, 17, 21 December 

Time: 9:30-11:30

Where: online on “PHD ICT – Seminars and Courses” Microsoft Team

Description: This course is giving a self-contained introduction to collective decision making with applications to swarm robotics, from theoretical aspects, to simulation, modeling and principles for experimental applications. At the end of this course, the student will be able to recognize in the real life the scenarios where collective decision making is playing a role, will be able to design a swarm of robots for a proper predefined task, model the system and analyze the results. 

Prerequisites: Python, Calculus 

 

1. Introduction to swarm robotics (2h)

  • What is and what is not swarm robotics
  • Biological inspiration
  • From social systems to robotics
  • Applications
  • Pros and cons of swarm robotics

2. Scenarios of swarm robotics (2h)

  • Collective decision mechanisms
  • Aggregation
  • Task allocation
  • Pattern formation
  • Collective motion and flocking

3. Collective decision making (2h)

  • Single vs group decision making
  • Collective decision mechanisms in animals
  • From micro to macro
  • Models for collective decision making processes
  • Design of experiment

4. Simulations and statistical analyses (2h)

  • Netlogo implementation
  • Overview of open source software (example: Argos, Gazebo)
  • Post-simulation statistical analyses for swarm robotics       
  • Practical session

5. Modeling (2h)

  • ODE and chemical reaction networks
  • Nonlinear stochastic systems
  • Practical session

CINECA “HPC and Quantum Computing – third edition”: Talk submission invitation

Also this year, CINECA is pleased to announce the third edition of the “HPC and Quantum Computing” workshop.
Due to the pandemic that is afflicting the whole world, this year the event will be an online edition, completely free as always.

The event will take place on Thursday 15 December, from morning (9:00) to evening (18:00).
https://eventi.cineca.it/en/events/quantum-computing-and-high-performance-computing-3rd-edition

The virtual conference hall that will host the event has yet to be precisely decided, but the choice will most likely fall on platforms such as Teams or Zoom.

If you want to share your quantum computing achievements to a large audience of online viewers or you are a company that works in the field of quantum computing and you want to introduce yourself to the Italian public, you are warmly invited to propose a talk. All the slots are avaiable until the end of our time! We will choose talks using arrival order and relevance to the covered topics. All interventions must be in English. Your intervention can take place in two ways: live or recorded.

For those who are not too experienced in online conferences, I will briefly explain how they work. There will be three main figures: the producer (which will most likely be me and/or professor Prati), the speaker (all those who will give a talk) and the audience. The producer manages everything: it is he who, following a set schedule, will hand over the speak permissions to all the speakers in the hall. The public will have no power of speech, but will be able to ask questions to the speakers through the use of a Q&A platform. For his part, the speaker will moderate and answer the questions he deems most appropriate, interacting with the same platform. In this regard, if you opt for a live intervention, I strongly suggest you find an “assistant” to help you in moderating the questions while you are talking. If you decide to record your speech, however, just press “play” when the producer will pass the word and pay attention to the Q&A tab. Don’t go afk (away from keyboard) during your speech, it is very important!

If you want to participate in the event you can send an email to me (d.ottaviani@cineca.it) or to Professor Enrico Prati (enrico.prati@cnr.it) containing the title and abstract of your speech by the end of this month (deadline: 20/11/2020). After receiving your requests, we will create a schedule that will respects every single intervention. You will be notified how much time you will have available to tell what is summarized in your abstract. Keep in mind that no talks will go under 15 minutes, nor above 25.

Webinar by Silvio Micali (MIT) on “ALGORAND: The Truly Distributed Blockchain”

Schedule: 20  November 2020, 14:00 GMT, 15:00 Italian time

 
Speaker: Silvio Micali (MIT and Algorand)
 
Title: “ALGORAND: The Truly Distributed Blockchain”

Abstract: In its ideal model, a blockchain consists of a digital ledger of unalterable data, readable by everyone, to which everyone can add new data. If adequately implemented, this model stands to revolutionize the way societies and traditional economies operate. By removing costly intermediaries and introducing new paradigms of trust, the model makes traditional transactions (e.g., payments) more efficient, and totally new ways of transacting (e.g., smart contracts) possible.

Unfortunately, as currently implemented, most blockchains cannot achieve their enormous potential. We shall argue, however, that they can be adequately implemented by means of dramatically different approaches.
 
Bio Sketch: Silvio Micali has received his Laurea in Mathematics from the University of Rome, and his PhD in Computer Science from the University of California at Berkeley. Since 1983 he has been on the MIT faculty, in Electrical Engineering and Computer Science Department, where he is Ford Professor of Engineering. Silvio’s research interests are cryptography, zero knowledge, pseudorandom generation, secure protocols, and mechanism design. Silvio is the recipient of the Turing Award (in computer science), of the Goedel Prize (in theoretical computer science) and the RSA prize (in cryptography). He is a member of the National Academy of Sciences, the National Academy of Engineering, and the American Academy of Arts and Sciences.