PhD in Information Engineering

(the slides of this and other presentations are available in the PhDinfo restricted area) PhDinfo seminar held on April 16th, 2021 by Francesco Marchetti Abstract. The memory module in Deep Learning architecture is fundamental to solve sequential andtemporal task such as speech recognition, language modelling, sentiment analysis.The Recurrent Neural Networks (RNN), analysing recurrently each element of […]

(the slides of this and other presentations are available in the PhDinfo restricted area) PhDinfo seminar held on April 16th, 2021 by Lorenzo Biotti, XXXVI cycle Abstract. In this presentation I’m going to give a quick overview of Molecular Communications.In the first part, I present a recent work, so I want to thank Gian Marco Roselli, […]

Abstract: Visual Question Answering (VQA) is an emerging topic which aims at automatically answering questions referred to a specific image. Together with image captioning, VQA is the main point of contact between the two heterogeneous communities of Natural Language Processing (NLP) and Computer Vision. VQA datasets contain different types of questions which require reasoning about […]

Abstract The problem of selecting the best sparse linear regression model is considered a relevant optimization problem. Usually this problem is solved through a sequence of separate steps, alternating between choosing a subset of features and then finding a best fit regression. In this seminar a new approach, based on a mixed-integer nonlinear optimization problem, […]

Reliability is a fundamental attribute of industrial systems and can be analytically computed using reliability models. Industrial systems are nowadays complex systems, i.e. they are characterized by a large number of components. This characteristic generally makes the analytical analysis unfeasible. Generally, reliability is expressed, under the assumption of constant failure rate, through the Mean Time […]

My presentation provides theoretical determination and experimental validation of the interaction between Thyristor Variable Frequency Drive (TVFD) and turbine generator units in Oil&Gas plant. The voltage oscillations caused by torsional and speed oscillation of a turbine generator unit become disturbances for the power electronics devices. They react injecting back into the grid current disturbances, that […]

  The work addresses the predicting passenger demand problem for Didi, a Chinese ride-sharing company. The passenger demand forecasting has been pursued by resorting to chaos theory. More in detail, in order to predict a nonlinear time series exploiting its chaotic features, its chaotic behavior has to be verified. In this respect, I’ll explain how […]

Giulio gave us a very nice presentation on his research topic, based on the ADMM (Alternating Direction Method of Multipliers) algorithm. The presentation was nicely divided into 4 parts:1 – Love (decomposition methods)2 – The other man (ADMM)3 – Getting the girl back (ADMM+decomposition, or something similar…)4 – No title (I suggest: daring more difficult […]

Adam, PhD student XXXIII cycle, gave us a nice overview of his current research on the theme of discovering topological arrangements and estimating reaction parameters in a neural network, based on global measurements.Adam was so nice to make his slides available – you can downlod them from OneDrive.com