Welcome to the web site of the
PhD program in Information Engineering
Dottorato di Ricerca in Ingegneria dell’Informazione (DRII)

This site offers an updated view on the research activities of our PhD Students and provides information on the scientific and teaching initiatives related to the academic life of the DRII.

For institutional information on the DRII:

For administrative information and regulations on PhD programs at the University of Brescia:

DRII Final Exam – XXXIII Cycle

PhD students of cycles XXXIII of DRII will give a presentation about the research activity that she/he carried out for her/his PhD thesis.

The presentations will be broadcasted via streaming for people who want to attend, on:

TUESDAY, MARCH 16, h.14.30


DRII PhD Talent Day (2nd) – XXXIII Cycle

PhD students of cycle XXXIII of DRII will give a short presentation about the research activity that she/he carried out for her/his PhD thesis.

17 March, 2021
Detailed schedule: here.

COURSE: Graph Labelings, Colorings and their Applications

01 March – 12 March 2021

This course focuses on two fundamental subjects in graph theory: labelings and colorings. We will see how these topics originated through their practical applications, the main known results and some of the many problems still open.
No previous knowledge of graph theory is required.

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DRII Open Seminar Day – XXXIV and XXXV Cycles

25 November 2020


Each PhD student of cycles XXXIV and XXXV of DRII will give a short presentation about the research activity that she/he carried out for her/his PhD thesis.

Detailed schedule: here.

Admissions are now open!

The admission procedures for XXXVI cycle of the PhD program in Information Engineering are now open.

– The cycle will start on November 1, 2020.

– Deadline for online applications:

August 18, 2020, h 14:00 (Italian Time, GMT+2).

Instructions on admission procedures: !! HERE !!


COURSE: Graph Theory and Applications

18 May – 11 June 2020

Combinatorial optimization and graph theory have experienced a fast development over the last few decades. It is well known that a lot of problems in combinatorial optimization arose directly from everyday practice in engineering and management. Indeed all the topics considered in this course are motivated by pratical interpretations. The goal is to focus on some problems of combinatorial optimization which can be formulated and treated by graph theoretical methods. After an introduction into graph theory, we study some selected topics both from a theoretical and an algorithmic point of view.

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DRII Final Exam – XXXII Cycle

Each PhD student of cycles XXXII of DRII will give a presentation about the research activity that she/he carried out for her/his PhD thesis.

The presentations will be broadcasted via streaming for people who want to attend, including families and friends, on:

MONDAY, MARCH 30, h.10.00


Summer School of Information Engineering, SSIE 2020

SSIE will be held from the 13th to the 17th of July, 2020, in the beautiful town of Brixen (Bressanone) in the Italian alps. The school is co-organized by the IEEE Italy Section (with the technical sponsorship of several chapters) and by the Dept. of Information Engineering of UNIPD. This year the school will be focused on machine learning techniques, energy-efficient electronics and ICT applications, touching upon theoretical developments, bioengineering/biomedical applications, energy-efficient electronics and energy harvesting, engineering of movement, sensing and telecommunications systems and cyber-security, among others.

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COURSE: Vehicular Networks and Cooperative Driving


Mass media call them Autonomous Cars, meaning that they do not need a human driver; however, vehicles in traffic are never autonomous, they need to interact and cooperate with all the other vehicles and road users to drive you to destination and avoid crashes and accidents. The easiest way to cooperate is to communicate, so networking and communications are essential for the success of this extremely promising technology, that has been recently hampered by the first fatalities … all of them due to the lack of simple communication technology that would have prevented the tragic misjudgment of the situation by the driving algorithm.
This PhD course of 20 hours aims to present the more promising communication technologies for V2X (Vehicle to Anything) networking, from the 802.11p standard, to 5G-New Radio and network slicing, to Visible Light Communications, as well as the key functions needed to achieve cooperative driving and smart traffic management, including both safety related applications and traffic management.

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COURSE: Stochastic Processes and Performance Modeling


If Math is the language of science, Stochastic Math is the language of Advanced Modeling and Performance Evaluation, from Event Driven Simulation (in the very end nothing else than a Monte Carlo solution of a Semi-Markov Chain), to the analysis of Digital Communications and Computer Science, to Hidden Markov Chains that are one of the key ingredients of Computational Biology and of many applications of computational methods applied to Health Care, as well as one of the tools available in the Machine Learning zoo.
This course, while trying to be very “light” in advanced math use, wants to lay a very solid theoretical background to tackle any (well, almost any!) scientific problem than needs to deal with non-deterministic phenomena of simply under-determined systems where lack of knowledge appears as random behavior, from bugs in software to errors in transmission systems, noise in electronic devices, disease spreading, efficiency of medical treatment, and many more.
Modeling and Performance Evaluation are key ingredients of any engineering project, as well as Business Plans and Industrial Innovation: revenues for industries must be properly forecasted in advance (to decide if the initial investment is worth) and forecasting requires a model. A Stochastic Model simply adds details and probabilistic interpretation of future events, granting a much better understanding (compared to deterministic models) of the system under analysis and proper interpretation of risks and their consequences, from money loss, to risks for the environment and the society at large.
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DRII PhD Talent Day – XXXII Cycle

Each PhD student of cycle XXXII of DRII will give a short presentation about the research activity that she/he carried out for her/his PhD thesis.

Detailed schedule: here.

COURSE: Mobile Interaction Design

21-23 January 2020

The goal of this course is to provide an introduction to principles and practical guidelines for mobile applications’ interaction design. Previous basic knowledge of interaction design, usability or mobile programming are desirable but not mandatory; the content of the course is in fact accessible to any graduated student in Engineering. The attendance of the course is suggested for those who plan to design and develop an interactive application to be used on mobile devices.

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COURSE: An Introduction to Reinforcement Learning

03-12 December 2019

Nowadays, research on reinforcement learning (RL) has demonstrated promising results in manifold domains, while major breakthroughs have been obtained in gaming applications (e.g., atari, GO, poker). In this short course, we will introduce the basic principles and algorithms for solving Markov Decision Processes and simple RL problems. We will further investigate how these algorithms have been extended, modified and applied at the state- of-the-art to solve challenging problems in the gaming/simulation domains, pointing at the open challenges in the research field. Finally, we will analyze the applicability of these algorithms with or without modifications in robotics.

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PhD promotion event – Reportage on TELETUTTO (local broadcast)

Poster presentations in PhD promotion event:

“Il Dottorato di Ricerca – Esperienze di Perseveranza”

University of Brescia, Engineering Campus (March 14-18, 2016)