Control

We have developed multiparametric optimization algorithms and solved optimal control problems for a variety of discrete-time dynamical systems such as markov jump linear systems and switched linear systems subject to control and state constraints. [...]

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Chemo/Nano/Bio/Pharma - Informatics

Development of mathematical relationships linking chemical structure and pharmacological activity in a quantitative manner for a series of compounds. Emphasis is given in the development of QSARs for drug design. [...]

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Machine Learning

Three training algorithms for radial basis function neural networks have been developed. The fuzzy means algorithm uses a fuzzy partition of the input space and combines self-organized and supervised learning. [...]

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Systems Modelling & Optimization

A framework has been developed based on coherent risk measures and multiparametric programming for the formulation and solution of multi-stage stochastic optimization problems that arise in the context of dynamic portfolio allocation. [...]

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“Machines take me by surprise with great frequency.”-Alan Turing