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Welcome to the website of DIAG, the Department of Computer, Control, and Management Engineering  Antonio Ruberti at Sapienza University of Rome.

DIAG, former DIS, has been at the forefront of research in control theory, computing science and operations research since its foundation.

The Department has experienced significant growth over the years, and is now home to more then 70 faculty members, strong research groups, and offers undergraduate and graduate curricula at the international level.

Prof. Alberto Marchetti Spaccamela, Head of Department

News

Il 4 e 5 Maggio saranno presentati agli studenti delle lauree triennali i corsi di laurea Magistrale di interesse del DIAG secondo il seguente  calendario 4 Maggio ore 11 aula 33 S.Pietro...
Il 31 maggio dalle ore 15 alle ore 17, nella Palazzina dell'Auditorio dell'Accademia Nazionale dei Lincei, si terrà il "Pomeriggio Interdisciplinare", indirizzato a docenti di italiano, matematica e...
Il 19 aprile 2017, alla Fabbrica del Vapore a Milano, Tiziana Catarci, Barbara Caputo e Laura Astolfi hanno partecipato al lancio del progetto "Inspiring Girls" in Italia. Il progetto (promosso da...
A partire dal 3 aprile 2017 l'orario della Biblioteca sarà prolungato: la Biblioteca aprirà alle ore 8,30 e chiuderà alle ore 19,30.
 Il 20 marzo la prof.ssa Tiziana Catarci ha ricevuto il premio dell'Associazione Levi Montalcini per la "diffusione della cultura scientifica tra le giovani generazioni". 

Events

In higher education, reforms have long been driven by the theory that system performance depends on governance design; yet it remains far from clear which arrangements can actually deliver results,...
 The study of online algorithms and competitive analysis provide a solid foundation for studying the quality of irrevocable decision making when the data arrives in an online manner. While in...
Motivated by current practice, in this course we explore the possibility of applying theindustry-standard PID controllers to regulate the behavior of nonlinear systems. As is wellknown, PID...
A well known lemma by Johnson and Lindenstrauss states that given a finite set X of n points in a Euclidean space E(m) in m dimensions and a small real tolerance 0<t<1, there is a k ~ O(1/t^2...
Predictive business process monitoring is concerned with predicting future states or properties of ongoing executions of a business process, based on past executions thereof. Such predictions can...