anniversary – PhD Seminars

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PhD Seminars Anniversary Event

PhD Seminars Anniversary Event

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2:00 pm: PhD Seminars II

2:00 pm: PhD Seminars III

Subjects of interest

Archives

Calendar

2:00 pm: PhD Seminars II

2:00 pm: PhD Seminars III

Talk 1

Talk 2

Talk 1

Talk 2

Talk 1

Talk 2

Talk 1

Talk 2

Nathalie GAYRAUD 2017/09/07 2017/09/07Events, Seminars

This year’s PhD seminars concluded with an anniversary event that marked both the 2 years since their creation and the end of the Digital Health, Biology and Earth chapter. Program 14:00 Event opening by Denis Talay and Gérard Giraudon 14:30 2 Years of Phd Seminars: Key numbers by Konstantinos Mavreas…

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applied mathematics asteroid exploration biological systems cafe adstic combinatorial optimization communication conductivity estimation dynamic dynamics EEG fixed point loops fluid dynamics functional emmbeddings fusion plasmas Galerkin time domain methods git health-biology infection spread invariant manifolds marketing mesh microscopy modeling nanophotonics networks-systems-distributed-computing neuronal cells neurons numerical simulations optimal transport optimisation optimization pattern recognition PDE protein function radar applications regularization retina routing applications scientific dissemination sed shape matching source localization stochastic gradient algorithm variability workshop
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12 2:00 pm: PhD Seminars III November 12, 2018 2:00 pm – 4:00 pm Talk 1 Speaker Konstantinos Mavreas (FACTAS) Title The secrets of the Moon rocks, a basic idea of remanent magnetization and how to approximate it with rational analysis Abstract Ferromagnetic materials (like iron) have ''memory''! This is in the form of natural remanent magnetization. Paleomagnetic studies, take advantage of that ''memory'' and try to understand the evolution of the magnetic field in our planet and other planets / planetary objects. In our case Moon rocks have ''memory'' of an ancient global magnetic field that no longer exist. In the talk we will see how we can use rational approximation techniques to recover that ''memory'' and why this is important! Talk 2 Speaker Patryk Filipiak (ATHENA) Title Proactive Evolutionary Algorithms for Dynamic Optimization Problems Abstract Dynamic optimization problems are problems that change as time goes by, e.g. high-frequency financial portfolio optimization or robotic arm movement planning. They are often addressed with reactive evolutionary algorithms that continuously explore a search space looking for new optima and trace the ones that were found so far. Algorithms equipped with such a mechanism are always one step back with a dynamic environment, since they can only detect the changes that already happened. The proposed proactive paradigm alleviates that issue by exploiting a dedicated forecasting model that anticipates a future landscape based on past observations. As a result, algorithms that apply this scheme can get ready for the changes to come, e.g. by directing some individuals into future promising regions. More