Alessandro Benfenati, Paola Causin, Roberto Oberti Università degli Studi di Milano Crop protection from diseases through applications of plant protection products is crucial to secure worldwide food production. Nevertheless, sustainable management of plant diseases is an open challenge with a major role in the economic and environmental impact of agricultural […]
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University of Milan has recently activated a new industrial PhD programme, named Intersectoral Innovation, in the framework of the national recovery plan. The PhD programme in Intersectoral Innovation intends to develop a cadre of professionals equipped with the field-specific and interdisciplinary skill set needed to access, both during their doctoral […]
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This post deals with some new geometrical techniques for explainable machine learning, called GENEOs [1], that we are applying in a research group working at University of Milan and University of Bologna, to problems of drug design and molecular docking. The research is developed in collaboration with Dompé, an Italian […]
Read moreFriday, October 30, 2020 at 10:00 hrs (CET). We are happy to announce the video conference COVER – COVid-19 Empirical Research organized by the Center of Excellence in Economics and Data Science of the Department of Economics, Management and Quantitative Methods and by the Data Science Research Center, Università degli Studi di Milano, […]
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In a joint activity of the Special Interest Groups Mathematics for Big Data and Math for the Digital Factory of the European Consortium for Mathematics in Industry (ECMI) this workshop strives to bring together data scientists, mathematicians, and engineers from academia and industry to discuss recent developments in digital manufacturing. […]
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Current farming practices require a uniform application of pesticides in order to protect crop plants from pest and disease. These treatments are typically repeated at regular time intervals. However, it is well known that several pests and diseases exhibit an uneven spatial distribution, with typical patch structures evolving around localized […]
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The outbreak of the Covid-19 epidemics in early 2020 has caused an unprecedented effort of the scientific community to produce models that could monitor and predict the evolution of the epidemics in a reliable way, also to advice governments to take actions which could mitigate the burden of hospitals to […]
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We have developed a method, called Experts Method, to forecast the evolution of a multivariate set of time series, of big dimension, and with partially censored data. It has been applied to the data provided by the H2020 Big Data Horizon Prize 2017 (http://ec.europa.eu/research/horizonprize/index.cfm?prize=bigdata). The data subject to the forecast […]
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My name is Filipa Valdeira, I am from Lisbon (Portugal) where I have completed an Integrated Master in Aerospace Engineering, with a specialization in Systems and Control. During the last year of the degree, I conducted my Master’s Thesis on the topics of optimization and statistics. This sparked my interest […]
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My name is Rongjiao Ji, I am currently a first-year PhD student in the PhD school in Mathematical Sciences, Universita’ degli Studi di Milano (Italy), and I am enrolled in the Marie Skłodowska-Curie Action – Innovative Training Network/European Industrial Doctorate BIGMATH. I received my master degree in Probability and Statistics […]
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