2018 EECI International Graduate School on Control (co-sponsored by IFAC)

2018 International Graduate School on Control
Advance registration deadline: 31 December 2017
The summaries of the courses of the IFAC co-sponsored 2018 EECI International Graduate School on Control, a series of 25 independent graduate week modules can be found here:

To register please click:

New call for PhD applications in ICT at University of L’Aquila

The University of L’Aquila offers a number of scholarships for the PhD program in Information and Communication Technologies (ICT) at the Department of Information Engineering, Computer Science and Mathematics (DISIM), and the Center of Excellence DEWS.

Applications are invited from candidates interested in working in the following topics:

  • Cyber-Physical Systems
  • Networked Control Systems
  • Wireless Sensor Networks
  • Telecommunication Systems
  • Embedded Systems
  • HW/SW on-chip systems
  • Smart Grids
  • Energy Systems
  • Algorithms and architectures for computation and optimization
  • Software Engineering
  • Model-driven engineering
  • Artificial Intelligence

Our PhD program in ICT offers the opportunity to spend training periods in world-wide renowned schools of excellence, such as University of California at Berkeley, University of California at Los Angeles, University of Pennsylvania, CINVESTAV, University of Guadalajara, Swedish Royal Institute of Technology (KTH), ETH Zurich, University College London, Carnegie Mellon University, University of Cambridge, Lehigh University, Harbin Institute of Technology, University of Tabriz, with which the University of L’Aquila has formal institutional agreements.

The deadline to submit your application is August 24, 2017.

You can find more information about our PhD program in ICT here.

Call for applications (italian)

Call for applications (english)

Dissertation Defense – PhD Program in ICT, XXIX Cycle

Doctoral Program in


July 21, 2017
Meeting Room (2nd floor) – Alan Turing Building (Blocco 0) – Coppito, L’Aquila
XXIX Cycle


11:00 – Giovanni Domenico Di Girolamo 

“Co-design of controllers and information flows in networked control systems”. Advisor: Prof. M.D. Di Benedetto, Co-Advisor: Prof. A. D’Innocenzo

11:45 – Gabriella Fiore

“Secure state estimation for Cyber-Physical Systems”. Advisor: Prof. M.D. Di Benedetto, Co-Advisor: Prof. E. De Santis

12:30 – Francesco Basciani

“Mining and Enhancing MDE Repositories”. Advisor: Prof. A. Pierantonio

13:15 – Elena Cinque

“Mobile and Vehicular Ad-hoc Networks: Analysis and Testing in a Heterogeneous Environment”. Advisor: Prof. M. Pratesi, Co-Advisor: Prof. F. Santucci

Seminar “A Practical Implementation and Simulation of a Hybrid Wireless Sensor Network for Security Monitoring and Surveillance”

Speaker: Prof. Ala Khalifeh (chair of Electrical and Communication Engineering Department at German Jordanian University)
When:  Thursday, July 6th 2017 — 11am
Where: Meeting room, Alan Turing building (Coppito 0).
Title: A Practical Implementation and Simulation of a Hybrid Wireless Sensor Network for Security Monitoring and Surveillance

Abstract: Wireless sensor networks are widely used in various applications and scenarios of our daily lives. Due to their cost effectiveness and rapid deployment, they became essential elements in providing remote monitoring and surveillance for many critical scenarios such as hostile environments, and battlefields. Other applications may include monitoring areas subject to natural disasters such as earthquakes, volcano eruptions, and floods or to large-scale accidents such as nuclear plants explosions or chemical plumes. This presentation describes a framework that exploits the potential of Unmanned Ground Vehicles and Unmanned Ariel Vehicles to realize a mobile hybrid wireless senor network. Such a network can effectively provide remote sensing and monitoring for the critical scenarios listed above. The presentation will demonstrate some practical implementations and simulation results, further it provides an overview of the design challenges and proposed solutions for the realization of the hybrid network.

Seminar “Some simple distributed network processes”

Speaker: Luca Trevisan (U.C. Berkeley and Simons Institute for the Theory of Computing)
When: WEDNESDAY, June 14th, 2017 — 15:30 – 16:30
Where: Room A1.3, first floor, Alan Turing building (Coppito 0).
Title: Some simple distributed network processes

Abstract: We will describe network processes in which, at each step, each node communicates with its neighbors, or a random subset of neighbors, and it updates its state to be “more like” the state of the neighbors. In a discrete setting, where there is a finite set of possible states, each node node updates to the state held by a plurality of sampled neighbors. Here we show that, in a complete communication network, there is a quick convergence to a consensus, regardless of the initial configuration and even in the presence of adversarial faults. If the set of possible states is ordered, and nodes update to the median of neighbors, convergence was known to be even  faster, but less robust to adversarial tampering. In a continuous setting, each node holds a bounded real number, and it updates to the average of sampled neighbors. Here we show that if the graph has a clustered structure, such as the one generated by the stochastic block model, the nodes can identify the cluster they belong to based on the evolution of the local state. This holds even in an asynchronous model in which only two nodes are active at a time, and the study of the latter setting leads to interesting questions about the concentration  of the product of iid random matrices.

(Based on joint work with Luca Becchetti, Andrea Clementi, Pasin Manurangsi,Emanuele Natale, Francesco Pasquale, Prasad Raghavendra and Riccardo Silvestri)

Seminar “Compressed Sensing and Discrete Optimization, parts I and II”

Speaker: Marc Pfetsch (Research Group Optimization, Dept. of Mathematics, Technische Universität Darmstadt)
When: WEDNESDAY, June 14th, 2017 — 11:00 – 13:00
Where: Meeting Room DISIM, Alan Turing building (Coppito 0).
Title: Compressed Sensing and Discrete Optimization, parts I and II

Abstract: The goal of these talks is to give an overview on compressed sensing from a discrete optimization/geometry point of view. The main problem in compressed sensing – the sparse representation problem – is to find the sparsest solutions of underdetermined linear equation systems. This problem is computationally hard, but can be efficiently solved by a linear program if certain conditions are satisfied. The talk will review some well known conditions and show that they are computationally hard to check. Moreover, the solution of this problem to global optimality will be discussed. The next step consists of presenting results on the unique recovery of integer solutions. Of course, even obtaining some feasible solution is hard in this case. Nevertheless, the potential of investing computational resources to obtain optimal solution will be discussed.

SIDRA PhD Summer School 2017

The SIDRA PhD Summer School is a one-week annual event organized by SIDRA (Società Italiana Docenti e Ricercatori in Automatica), the Italian Control Systems Society, that takes place in Bertinoro, Forlì-Cesena, Italy, from  Monday, July 3rd, 2017 to Saturday, July 8th, 2017.

The two themes presented this year are:

– “Formal methods for the control of large-scale networked nonlinear systems with logic specifications” coordinated by Maria Domenica Di Benedetto and Giordano Pola

– “Port-Hamiltonian modelling and passivity-based control of physical systems. Theory and applications” coordinated by Alessandro Macchelli and Cristian Secchi

The lecturers for the first module will be Prof. M.D. Di Benedetto, Prof. G. Pola, Prof. P. Pepe and Dr.  A. Borri (CNR-IASI).

For the first module’s full program click here.

Click on the SIDRA PHD School website to have information about the full program, the venue, the accommodation, the instructions for reaching the school, the instructions for applying to the school and the requested fee.

2017 IEEE-EURASIP Summer School on Signal Processing (S3P-2017)

The 2017 IEEE-EURASIP Summer School on Signal Processing (S3P-2017), is the 5th edition of a successful series, organized by the IEEE SPS Italy Chapter and the National Telecommunications and Information Technologies Group – GTTI, with the sponsorship of IEEE (S3P program) and EURASIP (Seasonal School Co-Sponsorship agreement). S3P-2017 represents a stimulating environment where top international scientists in signal processing and related disciplines share their ideas on fundamental and ground-breaking methodologies in the field. It provides PhD students and researcher with a unique networking opportunity and possibility of interaction with leading scientists.

The theme of this 5th edition is “Signal Processing meets Deep Learning”.

Student application deadline: March 31, 2017.

For more info: Summer School website

Course Complementi Di Automatica

Corso Professionalizzante su CONTROLLO STOCASTICO

Docente: Prof. Alfredo Germani

Lunedi 13 marzo 2017 avrà inizio il Corso Professionalizzante su “Controllo Stocastico”

Destinatari del Corso

Studenti del Corso di laurea Magistrale in Ingegneria Informatica-Automatica che abbiano già frequentato gli insegnamenti di “Identificazione dei Modelli e Analisi dei Dati” e di “Complementi di Automatica”.

La partecipazione al corso ed il superamento della prova finale consentono di acquisire 3 CFU nella tipologia F.


L’intervento formativo è finalizzato a far acquisire agli studenti conoscenze e competenze sul controllo di sistemi dinamici a tempo discreto in condizioni stocastiche.

Programma del Corso

I)   Richiami di Calcolo delle Probabilità:
1) Variabili aleatorie e distribuzioni,
2) Spazio di Hilbert delle variabili aleatorie con secondo momento finito,
3) Stima come proiezione e sue proprietà
4) Richiami sul filtro di Kalman.
II)   Richiami di teoria del controllo ottimo deterministico con indice quadratico:
casi con completa e parziale osservazione dello stato, ruolo dell’osservatore di Luenberger e Teorema di separazione.
III)   Controllo di sistemi stocastici lineari a tempo discreto
Caso di rumori gaussiani:
Valutazione dell’indice di costo stocastico in termini di stima ottima dello stato, Il controllo LQG, equazioni di Riccati per la stima e per il controllo, caso stazionario.
Caso di rumori non gaussiani:
Costruzione di controllori sub-ottimi a dimensione finita. Controllori polinomiali nelle osservazioni,
Algebra di Kronecker per la definizione di stime polinomiali, importanza del metodo “output injection” per la definizione di controllori polinomiale stazionari.
Caso del controllo stocastico quadratico:
Esempi di applicazione.


Sono previste lezioni frontali ed esercitazioni in aula, per un totale di 30 ore. Al termine delle lezioni è prevista una verifica dell’apprendimento.

Orario delle lezioni

Le lezioni si terranno tutti i lunedi, dalle 15:00 alle 19:00, a partire dal 13 marzo 2017 fino a esaurimento delle 30 ore previste per il corso, in aula 1.2 (Coppito 1).


Le lezioni saranno tenute dal Prof. Alfredo Germani, titolare degli insegnamenti di “Identificazione dei Modelli e Analisi dei Dati” e di “Complementi di Automatica” nel Corso di Laurea Magistrale in Ingegneria Informatica e Automatica.


Gli studenti interessati dovranno inviare domanda di iscrizione entro il 10 marzo 2017 al Prof. Costanzo Manes costanzo.manes@univaq.it, indicando come oggetto “Corso Professionalizzante su Controllo Stocastico”, con nome e cognome, numero di matricola, corso di laurea, anno di iscrizione, indirizzo email e numero di cellulare. Dovranno altresì indicare se hanno solo frequentato o anche sostenuto gli insegnamenti di “Identificazione dei Modelli e Analisi dei Dati” e di “Complementi di Automatica”.