PhD defence


The defence of the phd thesis of the ICT phd students: Lorenzo Baraldi, Stefano Alletto, Song Zhu, Marco Lasagni, Francesca Facchini, Emilio Sirignano, Fabrizio Balducci will take place on February 13 at 10 a.m. at the First Floor meeting room - DIEF - building 27, street P Vivarelli n.10. The phd students, the members of the school council are invited to attend.

Seminar Announcement


Dear PHD students,
you are invited to attend the seminar “ Piano Industria 4.0”, organised by the “ Commissione Ingegneria dell’Informazione” - Ordine Ingegneri.

The seminar corresponds to 2 CFD. Please find enclosed the event poster.

Seminar Announcement


Dear Phd students, next Monday 29 January we have organized a working day "Why deep learning is so cool". Within the day, we have organised a talk by Prof. Naftali Tishby, Hebrew University of Jerusalem: "Information Theory of Deep Learning".

Abstract of the seminar:I will present a novel comprehensive theory of large scale learning with Deep Neural Networks, based on the correspondence between Deep Learning and the Information Bottlneck framework. The new theory has the following components: (1) rethinking Learning theory; I will prove a new generalization bound, the input-compression bound, which shows that compression of the representation of input variable is far more important for good generalization than the dimension of the network hypothesis class, an ill defined notion for deep learning. (2) I will prove that for large scale Deep Neural Networks the mutual information on the input and the output variables, for the last hidden layer, provide a complete characterization of the sample complexity and accuracy of the network. This makes the information Bottlneck bound for the problem as the optimal trade-off between sample complexity and accuracy with ANY learning algorithm. (3) I will show how Stochastic Gradient Descent, as used in Deep Learning, achieves this optimal bound. In that sense, Deep Learning is a method for solving the Information Bottlneck problem for large scale supervised learning problems. The theory provide a new computational understating of the benefit of the hidden layers, and gives concrete predictions for the structure of the layers of Deep Neural Networks and their design principles. These turn out to depend solely on the joint distribution of the input and output and on the sample size.

This talk is partially supported by the Doctorate School in ICT of UNIMORE (the phd students which need an attentance declaration should send an email to lorenzo.baraldi@unimore.it)

Seminar announcement


Title: "Adsorption of chalcogen-based aromatic organic molecules on metal and dielectric surfaces by self-assembly and molecular beam expitaxy"
Speaker Tingming Jiang
Affiliation DIEF, University of Modena and Reggio Emilia and Universite' de Paris Sud
in fulfillment of the requirements for the award of the doctoral degree, he will defend his PhD activity in front of the final evaluation Jury, presenting a talk titled
Date & Time Monday December 18, 2017 - 14:30
Venue Meeting Room, I floor, MO26 building, Department of Engineering E. Ferrari, Via Vivarelli 10, Modena

Seminar Announcement


Venerdì 15 Dicembre 2017, ore 14,00-16,00, nell'Aula P1.6, nell'ambito degli Insegnamenti di Big Data Analysis e Progettazione del Software del Corso di laurea magistrale in INGEGNERIA INFORMATICA, percorso Data Engineering and Analytics,  il dottore di ricerca Matteo Interlandi, terrà il seminario:
" Big data analytics beyond MapReduce"

Abstract: MapReduce was introduced by Google in 2004. Thanks to its functional programming abstraction and fault-tolerant distributed framework, MapReduce makes easy to write parallel programs. In 2004 MapReduce was mostly used for web indexing; however nowadays we are seeing different type of applications (relational, graphs or machine learning analytics for example) which does not fit well within the MapReduce paradigm. In this talk I will use some research projects I have been working on in the past years to (1) introduce Apache Spark and Apache REEF; (2) describe how relational, graphs and machine learning applications can be efficiently run at scale using such systems; and (3) illustrate system's pros, cons and design choices.

Each seminar allows to acquire a CFD

Seminar Announcement


Venerdì 15 Dicembre 2017, ore 16,30-18,00, nell'Aula P1.6, il dottore di ricerca Matteo Interlandi, terrà il Seminario:
“Quick Develoment Big Data Analytics Tools"

Abstract: Implementing data processing logic in Data-Intensive Scalable Computing (DISC) systems is a difficult and time consuming effort. Today’s DISC systems offer many special purpose programming models and Domain Specific Languages, but very little tooling for debugging and profiling programs. As a result, programmers spend countless hours in stitching together subprograms written using different APIs, and performing trial and error debugging using log traces as evidences. To aid this effort, in the last years I have help in building a set of tools allowing developers to reduce the overall time to market for their Big Data Analytics. In particular, in this talk I will describe how relational, graphs and machine learning applications can be efficiently run at scale using the tooling I contributed to develop."

Bio: Matteo Interlandi is a Research Scientist in the Cloud and Information Services Lab (CISL) at Microsoft, working on scalable Machine Learning Systems. Before Microsoft, he was a Postdoctoral Scholar in the CS Department at the University of California, Los Angeles. Prior to joining UCLA, he was Research Associate at the Qatar Computing Research Institute and at the Institute for Human and Machine Cognition. He obtained his PhD in Computer Science at the University of Modena and Reggio Emilia under the supervision of Sonia Bergamaschi.

Each seminar allows to acquire a CFD

Seminar Announcement


OOP in Java and C#, ing. Paolo Burgio, Tuesday December 5 2017, 14-16 room M1.4 Building Matematica.

Seminar Announcement


Monday, November 27th, 2017, DIEF - UNIMORE, 11:00h - Room P1.1, Building 25, "Everything Autonomous - How Big Data, A.I. and IoT are changing the nature of products and society", STEFANO MARZANI, Cyngn Inc., Paolo Alto (CA), USA

Seminar Announcement


  1. Martedì 21 novembre dalle 11.00 alle 13.00 nell'aula P1.5 del DIEF, i dott. Luisa Losito e Marius Octavian Olaru di IUNGO Italia: Integrazione dei sistemi IT e problematiche organizzative aziendali: un esempio in ambito Supply Chian Collaboration
  2. Giovedì 23 novembre dalle 11.00 alle 13.00 nell'aula P2.7 del DIEF, il dott. Andrea Veroni: "La gestione dei processi informativi in un'azienda Fashion nell’era del digitale: il caso LiuJo”.
  3. Venerdì 24 Novembre 2017, ore 14,00-16,00, nell'Aula P1.6, dott. Enrico Sissa, di ALTEA UP: "Governare i processi di Implementazione Software nelle aziende nell’era digitale"

Seminar Announcement


"SICUREZZA E TECNOLOGIE QUANTISTICHE - Potenziali usi e rischi in ambito sicurezza", Enrico Prati, Consiglio Nazionale delle Ricerche, 21 novembre 2017, ora 14.15 Dipartimento di Ingegneria Enzo Ferrari Edificio 25, Aula FA-1F

Seminar Announcement


Big Data: opportunità e sfide" Prof.ssa Sonia Bergamaschi @Accademia Nazionale di Scienze Lettere e Arti di Modena", Giovedì 23 novembre, ore 16:30. Sala dei Presidenti

Seminar Announcement


Underwater video datasets and the VIAME opensource framework for fisheries stock assessment 30 Ottobre 2017 ore 14:00 Sala Master MO 25 Dr. Anthony Hoogs Senior Director of Computer Vision, Kitware Inc.

Course announcement


Complementary Course for Phd students and postdoc students: November 14-17- Dipartimento di Giurisprudenza - via San Geminiano 3 - all the ICT phd students are invited to attend - the coordinator Prof. Sonia Bergamaschi

Seminar announcement


SEMINAR: "Predictable Cloud Computing: capacity shortages made affordable", Prof. Martina Maggio, Professore Associato dell’Università di Lund, Aula M1.6, via Campi 213/b Modena, il 5 ottobre 2017 alle ore 14.30.

Seminar announcement


Talk by Prof. Simone Arcagni Friday 29th September at 4pm Tecnopolo Meeting Room (MO52 - First Floor) THE EYE OF THE MACHINE Abstract: Gaze and vision are concepts that concern media, philosophy, and cultural studies as well as science and technology. This talk will be an introduction to the cultural logic of the contemporary look, to the cultural aspects, and to the social implications of the computational eye. Scientific and humanistic studies show that it is essential for both fields to exchange point of view in order to improve their research instruments. Simone Arcagni's Website: http://www.simonearcagni.it