Seminars

Seminars appear in decreasing order in relation to date. To find an activity of your interest just go down on the list. Normally seminars are given in English. If not, they will be marked as Spanish Only.

 

“Opportunities for collaboration with the School of Mathematics & Statistics at University College Dublin, Ireland”

Event Date: Mar 22, 2016 in CMM Modeling, Seminars

ABSTRACT: We will present an overview of the research topics and graduate programs available at the UCD School of Mathematics & Statistics, Ireland’s number one according to QS World Rankings in both Mathematics and Statistics & Operations Research. We are at the forefront of collaborative research in computational science and data analytics. Active international collaborations include high-performance computing across disciplines (ranging from black hole binaries to molecular dynamics to fluid mechanics to cryptography and financial...

Fault-Tolerant Decentralized Runtime Monitoring

Event Date: Mar 16, 2016 in Discrete Mathematics, Seminars

Abstract:   Runtime verification  is aiming at extracting information from a running system, and using it to detect and possibly react to  behaviors violating a given correctness property. Decentralized runtime verification involves a set of monitors observing the behavior of  the underlying system. In this talk, the investigation of decentralized runtime verification in which not only the elements of the observed system, but also the monitors themselves are subject to failures will be presented. In this context, it is unavoidable that...

What is…the inverse function theorem

Event Date: Mar 16, 2016 in Optimization and Equilibrium, Seminars

Abstract:   After a gentle introduction to the  paradigm of the inverse function theorem, advanced version of this theorem will be presented for nonsmooth functions and set-valued mappings.

P-Stability: Graph generation, randomization and k-degree anonymity

Event Date: Mar 11, 2016 in Discrete Mathematics, Seminars

With the motivation of social network privacy and the aim of anonymizing the graph structure of a social network, several methods have been studied. One of the most basic is that of k-degree anonymization. It consists of making the least edge modifications to a given graph, in order that for every degree value of a vertex in the modified graph there are at least k repetitions of it in the degree sequence. This implies that no vertex can be uniquely identified by its degree, hence, the modified graph is k-degree anonymous.   Another...

Coloquio Optimización A mediodía de Optimización y análisis variacional”

Event Date: Mar 09, 2016 in Optimization and Equilibrium, Seminars

EXPOSITORES   – Pr. Dimitri Bertsekas, Departamento de Ingeniería Eléctrica e Informática en la Facultad de Ingeniería en el Instituto de Tecnología de Massachusetts (MIT), en Cambridge, Massachusetts. – Pr. Assen Dontchev, Mathematical Reviews y la Universidad de Michigan. – Pr. R. Tyrrell Rockafellar, Departamentos de matemáticas y matemáticas aplicadas en la Universidad de Washington, Seattle.

Inference of Gene Regulatory Networks from Gene Expression Data using Artificial Neural Networks

Event Date: Jan 22, 2016 in Seminario Aprendizaje de Máquinas, Seminars

Abstract: Gene Regulatory Networks (GRNs) are directed networks where nodes represent genes, and edges exist solely if the Transcription Factor (TF) encoded by a source gene directly regulates the expression of another target gene. Two main approaches exist for the inference of GRNs, high-throughput experiments and computational methods that solely make use of gene expression data. While the first ones are expensive and time consuming, the second ones are faster and require fewer resources. Computational methods for the inference of GRNs can...

Neurological Diseases, Brain Dynamics and Mathematical Modelling

Event Date: Jan 21, 2016 in CMM Modeling, Seminars

Abstract:  Se adjunta

Twin peaks

Event Date: Jan 21, 2016 in Seminars, Stochastic Modeling

Abstract:   I will discuss some questions and results on random labelings of graphs conditioned on having a small number of peaks (local maxima).   The main open question is to estimate the distance between two peaks on a large discrete torus, assuming that the random labeling is conditioned on having exactly two peaks.   Joint work with Sara Billey, Soumik Pal, Lerna Pehlivan and Bruce Sagan.

From the fluid flow through a partially perforated domain to Darcy’s law: the homogenization of the natural Stokes problem

Event Date: Jan 21, 2016 in Mathematical Mechanics, Seminars

Abstract:   One considers the Stokes problem in the case of a partially perforated domain (the perforated part models a porous medium, the boundary of which is just assumed Lipschitz). A single fluid is considered and the external force in the porous medium is properly scaled. The purpose of the talk is to present a proof of the homogenization of this problem using the periodic unfolding method. In the homogenized limit, the problem become an uncoupled pair of problems, one is the standard Stokes problem in the normal part of the domain,...

TITULO A proximal splitting method to solve some stationary mean field game systems

Event Date: Jan 20, 2016 in Optimization and Equilibrium, Seminars

RESUMEN:   In this talk we present a proximal splitting method to solve a discretized version of a mean field game problem with local interactions, introduced by Achdou et al. The presence of local interactions imply that, at the continuous level, the mean field game system can be formally obtained as the optimality condition of an associated variational problem. The same argument applies in the discretized version. However, since one of the term in the cost is only sub-differentiable, a suitable splitting method is used in order to...