PhDinfo Seminar: Pietro Bongini, “Visual Question Answering: an overview”

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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 […]

PhDinfo Seminar: Alessio Sortino on “An efficient optimization approach for best subset selection in linear regression”

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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, […]

PhDinfo Seminars: Marco Papini “Reliability-based prognostics applications”.

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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 […]

PhDinfo Seminars: Lorenzo Bongini “Sub-Synchronous Torsional Interaction (SSTI) in Oil and Gas Plant”

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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 […]

PhDinfo Seminar: Benedetta Picano on “Predicting passenger demand problem for Didi, a Chinese ride-sharing company”

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  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 […]

PhDinfo internal seminars: Giulio Galvan on “Decomposition methods: ADMM & friends”

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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 […]

PhDinfo Seminars: Lorenzo Buffoni on the D-Wave Quantum Computer

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On February 1st, 2019, Lorenzo started our PhD Seminar Series with a nice introduction to Quantum Computing on the D-Wave machine. The development of quantum-classical hybrid algorithms is critical to deploy noisy intermediate-scale quantum devices in state-of-the-art computational models. In this seminar I will introduce the architecture of the D-Wave quantum annealer and show how […]

PhDinfo Seminars: Sara Nicoletti on “Non-normal effects on network dynamics”

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Today we had an interesting seminar by Sara based on two of her papers. Thanks for the nice presentation! Abstract: Network science is a fundamental framework to study and understand complex systems in a large variety of phenomena in disciplines like physics, economics, biology and sociology. Dynamics on  networks are usually described by defining a linear dynamical […]