Hi, I'm Dario and this is my home page. Here you can find some news about my activities, mainly related to my academic position. I'm at present associate professor at the Computer Science Department of Milan University (Italy).
War is not an answer!myself
Lauda la marnissart proverb
et tène-ti en la terra
My research activity focuses mainly the treatment of uncertainty in machine learning problems, with particular reference to the exploitation of data quality, the design of learning algorithms and their application in the bioinformatics domain. I published more than ninety papers on journals and conference proceedings. I've been member in ten research projects at the national and the international level, among which six were funded by the European Commssion. Previously I've been working on granular computing, bootstrap methods for regression problems, theoretical analysis of computational learning, hybrid systems in learning problems, automatic simplification of symbolic descriptions, study of population dynamics, intelligent systems for pervasive and ubiquitous computing, and emotion classification.
During the academic year 2017/18 I teach on the core courses of Statistics and data analysis (for the BSc in Computer science), on the elective courses of Big scale analytics and Informatics didactics (for the MSc in Computer science), and on the course of Multidimensional data analysis for the PhD in Computer science. During the academic year 2016/17 I taught on the courses of Statistics and data analysis, Big data, Informatics didactics and Simulation. Previously I also taught courses of Operating systems, Computer programming 1, Computer programming 3, Software engineering, and of Computer programming lab.
Since about ten years I have been working on popularization and teaching of computer science: I coordinated the activities for prospective students in computer science degrees and for the Sciences division of my university, I wrote two textbooks and several popularization books, I am among the founders of the ALADDIN laboratory, I collaborated on a radio broadcast about computer science and I worked on various initiatives for the popularization of the culture behind computer science. I've also beeninvolved in the implementation of internships for the training of secondary school teachers.
The 27/11 class of the Big scale analytics course will take place in aula 6 at 14:30, and the class of 28/11 will take place at 13:30 in aula alfa.
Additional lectures of the laboratory of Statistics and data analysis will start from Friday, october 20th.
Computer science students who are not enrolled in the second year will have the choice between R and python as language to be used during the written test. Among those students, who has already followed a R laboratory or have already studied R, it is advisable to stay on R; instead, students not yet haviing studied any language for data analysis are advised to start directly with python. For the students of the other degrees, the R language remains the only option.