Date  Speaker  Title  Contact 
Aug 25 Tuesday 2pm

Artur Gower (PhD defence talk, NUIG)

Acoustics and Instability of Elastic SolidsI will discuss a few of the applications of acoustics and wrinkling of elastic solids followed by the main results of my PhD in the subject. The talk will have few equations and many pictures. 
Michel Destrade 
Sep 3 10am
4pm

Thái Anh Nhan (PhD defence talk, NUIG)
Nesrin Manav Gazi University, Turkey

Preconditioning techniques for singularly perturbed differential equations Fixed Point Theorems on Modular Metric SpacesFirst talk: The talk presents the work of Thai's Ph.D. study at NUI Galway under the supervision of Dr Niall Madden. A brief introduction to singularly perturbed differential equations is presented in the first part of the talk. It is followed by the summary of five main chapters of his thesis. Finally, technical detail of Chapter 3 which reveals some new discoveries on direct solvers applied to singularly perturbed problems is selected to conclude the talk.
Second talk: Metric modular spaces were first introduced by Chistyakov in 2002; they are a generalisation of metric spaces, with a single metric function replaced by a parametrised family of “modulars”. In devising this concept, Chistyakov was motivated by work of Musielak and Orclicz in 1959 on spaces of functions. We describe the construction of the “modular sets” and the application to a recent fixed point theorem. 
Niall Madden
Raymond Ryan 
Sep 10

Dessislava Kochloukova State University of Campinas, Brazil 
Weak commutativity in groupsThis is a joint work with Said Sidki (University of Brasilia, Brazil). We study homological and homotopical finiteness properties of a group construction $\chi(G)$ defined by Sidki in 80's. In particular we find conditions that force $\chi(G)$ to be finitely presented and furthermore we show that when G is a soluble group of homological type {\infty}$ then $\chi(G)$ is again soluble and of type {\infty}$. 
Grahamj Ellis 
Sep 11 Friday 1pm

Ronan Egan (PhD defence talk, NUIG)

Topics in cocyclic development of pairwise combinatorial designsIn this talk I will give a brief introduction to algebraic design theory, the primary field of my PhD. I will introduce pairwise combinatorial designs and the concept of cocyclic development, and give some examples. I will then discuss some of the main results of my PhD thesis. 
Dane Flannery 
Sep 17

Javier Aramayona Institut de Mathématiques de Toulouse 
The abelianization of automorphism groups of rightangled Artin groupsAutomorphism groups of rightangled Artin groups form an interesting class of groups, as they interpolate between the two extremal cases of Aut(F_n) and GL(n,Z). In this talk we will discuss some conditions on a simplicial graph which imply that the automorphism group of the associated rightangled Artin group has (in)finite abelianization. As a direct consequence, we obtain families of such automorphism groups that do not have Kazhdan's property (T). This is joint work with Conchita MartinezPerez. 
Grahamj Ellis 
Sep 24

Neil O’Connell Warwick University 
Increasing subsequences, Young tableaux, and related topicsThe study of increasing subsequences in permutations has a long and interesting history, and is deeply connected to the representation theory of the symmetric group. I will give an overview of this, and then
describe some more recent developments connected to Whittaker functions and random polymers. 
Raymond Ryan 
Oct 1

Marianne Leitner NUIG 
CFT on Riemann surfacesI will give an overview over my current mathematical understanding of conformal field theory (CFT) on Riemann surfaces in an algebraic geometric setup and discuss some of its particular number theoretical features. 
Grahamj Ellis 
Oct 8 
Hiroyuki Nakaoka Université de Picardie / Kagoshima University 
Preadditive categories as a categorification of rings; quotients, spans and their applicationsAs a horizontal categorification of rings, preadditive categories
admit quotient by ideals.
If a category with fibered products has compatible coproducts, its
span category becomes preadditive.
I would like to introduce these constructions, and their usage. 
Sejong Park 
Oct 15

John McLoughlin University of New Brunswick 
Enriching the Scope of Mathematical Experiences with ProblemsIn this talk we highlight problems, numerical curiosities, and ideas that are well suited to the development of capacities for problem solving from senior cycle postsecondary students upwards. Examples will address the following themes:
• development of specific strategies or principles
• extending the range of solution spaces
• examining familiar concepts in unfamiliar contexts (“what if”…)
• recreational mathematics as a springboard for proof.
We suggest that the ideas are adaptable to undergraduate mathematics students. The presentation and accompanying discussion will enhance awareness of nuances in problem solving beneficial to both teachers and students. It is anticipated that anyone present will go away with some “new” problems and/or perspectives on the educational potential of problems. 
Aisling McCluskey 
Oct 20 Tuesday 10am

John Donohue (PhD defence talk, NUIG) 
Mathematical models of seasonally migrating populations (Plant Science seminar room)The phenomenon of seasonal migration has attracted a wealth of attention from biologists. However, the dynamics of migratory populations have been little considered. In this thesis, we use piecewise smooth differential equations to model the variation in abundance of seasonally migrating populations. Interactions between migrants and members of other species occur for just a brief period each year before the populations involved become spatially separated. Our framework gives us a means of examining how this kind of 'transient' interaction influences the dynamics of the migratory population. 
Petri Piiroinen 
Oct 22

Pilib Ó Broin NUIG 
The role of the Tbx1 gene in a mouse model of autism spectrum disorderSpecific deletions within a short region on chromosome 22 occur in approximately 1 in every 4000 live births and result in a wide range of abnormal structural and neurological outcomes. Tbx1 is a gene found in this region which has previously been identified as being responsible for the majority of the structural defects. Here, we detail a computational and statistical analysis of its potential role in a mouse model of autism spectrum disorder based on these deletions.

Cathal Seoighe 
Oct 29 
Antonio Díaz Universidad de Málaga 
Simplicial complexes and Quillen's complexesWe describe some conditions on a poset that allow to remove a
subdivision when computing its homology. They apply to simplicial
complexes and the Quillen's complex of a finite group at a prime p. In
this setup, simplicial complexes appear as the limit case of Quillen's
complexes for p=1. Nevertheless, there are differences regarding the
existence or not of free faces in an acyclic complex. 
Sejong Park 
Oct 30 Friday 10am

Shane Burns (PhD defence talk, NUIG) 
Theoretical and numerical analysis of rigidbody impacts with friction (HRB seminar room) 
Petri Piiroinen 
Nov 5

James O'Shea NUIG 
Field Invariants and Pfister formsWe will give a short introduction into the theory of quadratic forms, highlighting the prominence of Pfister forms within the theory. We will discuss some open and closed questions concerning the possible values of field invariants. Motivated by one such question, we will consider the isotropy behaviour of multiples of Pfister forms, recording some results in this regard. 
Rachel Quinlan 
Nov 10 Tuesday 3pm

Eric Ladizinsky DWave Systems Inc. 
Evolving Quantum Computers (Colloquium talk at IT125 Theatre in IT Building)Quantum computation could revolutionize the information age and trigger as big an impact on society as the
conventional computer. It promises to transform not just science and technology but our very understanding of reality.
At key points in human history, civilization took a leap forward because people discovered a new way of harnessing nature.
Tool making, farming, the industrial revolution, and the information age were all triggered by the discovery of new ways of
manipulating nature. By harnessing the Alice in Wonderland like effects of quantum physics, Quantum computers could help
realize true artificial intelligence, offer insights into nanotechnology, teleportation and time travel, change the way chemists and
biologists study the molecules of life and design drugs, and break supposedly unbreakable secret codes. . . . . . tasks well beyond
the capabilities of any conceivable classical supercomputers.
DWave Systems has built a miniManhattanProject like effort bringing together a world class, interdisciplinary team, of
scientists, engineers and applications experts all dedicated to making quantum computers a reality sooner rather than later ..
and in just a few years DWave has created the first, special purpose quantum processors in a scalable architecture. DWave's
first generation quantum processors (now being explored by Google/NASA as well as Lockheed and USC) are showing signs of
being at a 'tipping point' .. matching state of the art solvers for some problems (and sometimes exceeding them) . . . portending
the exciting possibility that in just a few short years DWave processors could exceed the capabilities of any existing classical
computers for certain classes of important problems in the areas of machine learning and optimization.
In this lecture, Eric Ladizinsky, CoFounder and Chief Scientist at DWave will describe the basic ideas behind quantum
computation, Dwave's unique approach, and the current status and future development of DWave's processors. Included will
be answers to some frequently asked questions about the DWave processors, clarifying some common misconceptions about
quantum mechanics , quantum computing, and DWave quantum computers. 
Michael Mc Gettrick 
Nov 12

Jaroslaw Miszczak Polish Academy of Science 
Why quantum mechanics is (not) special? 
Michael Mc Gettrick 
Nov 23 Monday 9.30am

Sofia Barreira (PhD defence talk, NUIG) 
The genomic architecture of chromosomal regions that direct formation of the largest functional domain in the human nucleus (Plant Science seminar room) 
Cathal Seoighe 
Nov 24 Tuesday 2pm

Alan Barnicle (PhD defence talk, NUIG) 
Analysis and interpretation of epigenomic patterns in colonic epithelia (Plant Science seminar room) 
Cathal Seoighe 
Nov 26

Yoshifumi NAKATA The University of Tokyo 
Unitary designs: constructions and applications in quantum information theoryUnitary designs are finite approximations of random unitaries uniformly distributed according to the Haar measure. They are extremely useful in quantum information theory. One of the most important applications is the decoupling protocol, also known as the mother protocol in quantum Shannon theory. In this talk, we will start with a brief overview of unitary designs and the decoupling protocol, and we provide new implementations of them using random diagonalunitaries in two complementary bases. 
Michael Mc Gettrick 
Dec 3 4pm
9.45am4pm

Vitaly Kurlin University of Durham
SIAM Chapter

Computing invariants of knotted graphs given by sequences of points in 3dimensional space
SIAM Chapter (IT202 & IT125)We design a fast algorithm for computing the fundamental group of the complement to any knotted polygonal graph in 3space. A polygonal graph consists of straight segments and is given by sequences of vertices along edgepaths. This polygonal model is motivated by protein backbones described in the Protein Data Bank by 3D positions of atoms. Our KGG algorithm simplifies a knotted graph and computes a short presentation of the Knotted Graph Group containing powerful invariants for classifying graphs up to isotopy. We use only a reduced plane diagram without building a large complex representing the complement of a graph in 3space. The talk is based on the paper presented at TopoInVis 2015. 
Grahamj Ellis
Niall Madden 
Dec 9 Wednesday 3pm

Giovanni Russo IBM 
Analysis and control of networked systems: from biology to smart citiesTypically, the analysis and control of networked systems can be recast as a stability problem of some invariant set. In this talk, a different approach based on Contraction Theory is instead presented: the idea of such an approach is that of interpreting stability as a property of trajectories rather than of some invariant set. In this way, global results are possible and their effectiveness is shown on a number of applications. Specifically, we will first show how the results can be used to study a number of biochemical networks arising in systems and synthetic biology. Then, we will move to networks made up by technological entities and we will use our approach to analyse and control networked systems relevant to smart cities. 
Petri Piiroinen 
Dec 17

Miguel Bustamante UCD 
Precession Resonance and Strong Energy Transfers in Nonlinear Wave SystemsGenerically, physical wave systems are modelled by nonlinear wave
equations that are not integrable. One of the important questions is
how energy is transferred across spatial scales. This includes the
phenomenon of turbulence. We will discuss recent results in the
context of the CharneyHasegawaMima equation, a nonlinear PDE
describing propagation of Rossby waves in the atmosphere and drift
waves in plasmas, using periodic boundary conditions. The first result
regards the limit of weakly nonlinear amplitudes, which allows one to
obtain the set of the most energetically active modes of oscillation
in spectral Fourier space, as solutions of a Diophantine equation in
terms of elliptic curves and Fermat's Xmas theorem. The second result
considers the case of finite amplitudes, where a completely new
mechanism called 'precession resonance' produces strong energy
transfers between modes of oscillation, beyond the set of modes
obtained in the weakly nonlinear case, and producing a new set of
energetically active modes, whose oscillations are synchronised and
correspond to very efficient energy transfers across scales. Finally,
we will discuss our longterm program that consists of finding
applications of the precession resonance mechanism in other systems of
technological interest, such as gravity water waves in oceans and
nonlinear optics. 
Michel Destrade 
Dec 18 Friday 10.30am

Fionnuala Connolly Harvard University 
Developing Design Rules for Soft Fluidic ActuatorsIn recent years, the field of soft robotics has seen a lot of growth, with the development of many soft grippers, walking robots and assistive devices. In particular, soft pneumaticallydriven actuators have received a lot of interest from the robotics community. Their compliance, easy fabrication and ability to achieve complex motions with simple control inputs make them extremely useful in a variety of applications, particularly in the biomedical field. Thus far, actuator fabrication has for the most part been led by intuition, with little focus on mathematical modeling. However, in order to design these actuators more efficiently, it is desirable to have a model relating actuator motion to actuator design parameters. This talk will discuss the use of nonlinear elasticity theory to develop such a model, and how we can use modeling to design actuators to achieve a particular desired motion. 
Michel Destrade & Raymond Ryan 
Jan 14 11am

Brendan Masterson (PhD defence talk, NUIG) 
On the table of marks of a direct product of finite groups (AMBG067) 
Gotz Pfeiffer 
Feb 18

Ioannis Dassios University of Limerick 
Singular linear systems of fractional nabla difference equationsIn this talk I will introduce the initial value problem of a class of
nonhomogeneous singular linear systems of fractional nabla difference equations whose coefficients are constant matrices, see [1]. By taking into consideration the cases that the matrices are square with the leading coefficient singular, nonsquare and square with a matrix pencil which has an identically zero determinant, we will obtain necessary and sufficient conditions for the existence and uniqueness of solutions. More analytically we will study the conditions under which the system has unique, infinite and no solutions. For the case of uniqueness we will derive a formula that provides the unique solution and for the other cases we will provide optimal solutions. Numerical examples will be given to justify our theory. Finally, I will refer to some other recent results on optimization, see [2] and networks, see [3], [4].
References
[1] I.K. Dassios, D. Baleanu, G. Kalogeropoulos, On nonhomogeneous singular systems of fractional nabla difference equations, Appl. Math. Comput. 227 (2014), 112131.
[2] Dassios I., Fountoulakis K., Gondzio J. Preconditioner for a PrimalDual Newton Conjugate Gradients Method for Compressed Sensing Problems.
SIAM Journal on Scientific Computing, Volume 37, Issue 6, pp. A2783A2812 (2016).
[3] Dassios I., Jivkov A., AbuMuharib A., James P. A mathematical model for plasticity and damage: A discrete calculus formulation. Journal of Computational and Applied Mathematics, Elsevier. To appear (2016).
[4] Dassios I. Stability of basic steady states of networks in bounded domains. Computers & Mathematics with Applications, Elsevier, Volume 70, Issue 9, pp. 21772196 (2015). 
Petri Piiroinen 
Feb 25

Padraig Ó Catháin Aalto University, Finland 
Compressed sensing and combinatorial designsSignal sampling is the collection of data from real world systems, such as a voice captured by a mobile telephone or a picture by a digital camera. A famous theorem of Nyqvist and Shannon relates sampling frequency to accuracy of reconstruction. Until recently, conventional wisdom was that sampling above the Shannon rate was essential for accurate signal recovery.
Around 2006, Terence Tao and collaborators showed that signals could be recovered effectively when the number of measurements taken is proportional to the information content of the signal. This is the main idea underlying compressed sensing (CS). In practice, many signals are sparse, meaning that their information content is substantially less than their length. Foundational results of CS then imply that such signals can be sampled and reconstructed far below the Shannon rate. Tao and others have shown that optimally efficient sensing matrices can be constructed using randomised methods, and that linear programming suffices for signal recovery. There are practical difficulties in the implementation of such systems in hardware, however. One of the major open problems in the area is to replace these randomised constructions with deterministic ones.
In this talk we will describe an approach to compressed sensing using combinatorial designs and Hadamard matrices. No background knowledge will be assumed. 
Rachel Quinlan 
Feb 29 3pm

Seshu Tirupathi IBM Research, Dublin 
Shock capturing data assimilation algorithm for 1D shallow water equations We propose a new data assimilation algorithm for shallow water equations in one dimension. The algorithm is based upon Discontinuous Galerkin spatial discretization of shallow water equations (DGSW model) and the continuous formulation of the minimax filter. The latter allows for construction of a robust estimation of the state of the DGSW model and computes worstcase bounds for the estimation error, provided the uncertain parameters belong to a given bounding set. Numerical studies show that,
given sparse observations from numerical or physical experiments, the proposed algorithm quickly reconstructs the true solution even in the presence of shocks, rarefaction waves and unknown values of model parameters. The minimax filter is compared against the ensemble Kalman filter (EnKF) for a benchmark dambreak problem and the results show that the minimax filter converges faster to the true solution for sparse observations. 
NUI Galway SIAM student chapter 
Mar 3

Peter Lynch UCD 
The Emergence of Numerical Weather Prediction: Fulfilment of a Dream & Realization of a FantasyThe development of computer models for numerical simulation and prediction of the atmosphere and oceans is one of the great scientific triumphs of the past fifty years. Today, numerical weather prediction
(NWP) plays a central and essential role in operational weather forecasting. Forecasts now have accuracy at ranges beyond a week.
There are several reasons for this: enhancements in model resolution, better numerical schemes, more realistic parameterizations of physical processes, new observational data from satellites and more sophisticated methods of determining the initial conditions. We focus in this talk on the fundamental equations, the formulation of the numerical algorithms and the variational approach to data assimilation.
We present the mathematical principles of NWP and illustrate the process by considering some specific models and their application to practical forecasting.
As a bonus, we examine an artist's impression of Lewis Fry Richardson's marvellous 'fantasy' of a Forecast Factory, recently uncovered in the School of Computer Science and Statistics at Trinity College Dublin. 
NUI Galway SIAM student chapter 
Mar 10

Colm Mulcahy Spelman College, Atlanta USA 
The Annals of Irish Mathematics and MathematiciansThe Annals of Irish Mathematics and Mathematicians is a freely available online resource which tracks the academic profiles of over 2000 scholars from the last two centuries. Its reach is broad, embracing people engaged in mathematical physics, statistics, actuarial science and mathematics education as well as pure maths, and listing anyone whose doctoral advisor was Irish. For over half of those featured, a photograph is included, and a special effort has been made to document as many women as possible.
It includes microbiographies of 250 of the most notable people, whether they originally hailed from Antrim, Westmeath, Kerry, or Germany, and regardless of what corner of the world they practiced their profession in. Over 600 relevant books are also highlighted in detail. In association with Maths Week Ireland, a 2016 Irish Mathematics Calendar has been produced.
Colm Mulcahy, Sci 154, PO Box 953, (404) 2705837, Professor & Vice Chair, Dept. of Mathematics. 
Ted Hurley 
Apr 6 Wednesday 12pm1pm

KongFatt WongLin Ulster University 
Understanding brain functions through mathematical modelling and analysis THBG010 Moore Institute Seminar Room (Library)The brain is a highly complex system with multiple spatial and temporal scales. A better understanding of brain functions may lead to improved treatments of brain disorders and mental health, development of advanced intelligent systems, and ultimately understanding the human condition. Based on my research, I will discuss computational and mathematical approaches that can provide insights into brain functions and behaviour across several scales. In particular, I will show how mathematical models and dynamical systems theory can reveal neural dynamics and mechanisms underlying decisionmaking, neuromodulation and brain signal propagation. I will also show how causality analysis can reveal directed relationships among brain regions, and how probabilistic network modelling can improve the prediction of risk factors link to neurological disease.
Brief Bio: Dr. KongFatt WongLin is a Lecturer at the Intelligent Systems Research Centre (ISRC), School of Computing and Intelligent Systems, Faculty of Computing and Engineering, Ulster University (UU). At UU, he has led the Computational Neuroscience Research Team. Previously, he was a research associate at Princeton University, USA, in mathematical and cognitive neurosciences, with affiliation to The Program in Applied and Computational Mathematics and Princeton Neuroscience Institute. Prior to that, he received his Ph.D. in physics with focus on computational neuroscience at Brandeis University, USA, with affiliation to the Volen National Center for Complex Systems. Dr. WongLin’s research interest is in computational and mathematical modelling and analysis of brain and behaviour, including decisionmaking, neuromodulation, and more recently on computational neuroimaging, brain disorders, and data analytics. He has published his research in leading journals across multiple disciplines, and has received multiple funding to support various neuroscience and neuroinspired related projects. 
Petri Piiroinen 
Apr 7

Matthew Krauel University of Cologne 
Vectorvalued modular forms, intertwining operators, and the minimal modelsIn this talk we discuss a class of trace functions, similar to those first studied in relation to Monstrous Moonshine, along with some natural questions surrounding them. We will provide the construction of these functions, which arise from intertwining operators associated to a vertex operator algebra (VOA). We then discuss how these functions can be gathered to create vectorvalued modular forms. Finally, we describe how such vectorvalued functions of a desired size can be constructed in the case of the minimal model VOAs, and provide a type of classification when this size is small. The relevant information surrounding VOAs and vectorvalued modular forms will be reviewed. 
Michael Tuite 
Apr 14 3pm

Gianpietro Del Piero Università di Ferrara, Italy 
History of Dome Structures
ENG2052 (NCR) Engineering BuildingThe evolution of the response of an elasticplastic bar from the initial unstressed
state up to rupture is studied with a onedimensional model based on
incremental energy minimization. The model successfully reproduces both brittle
and ductile fracture, as well as an intermediate fracture mode, called ductilebrittle,
in which, due to an extreme localization of the plastic deformation, the
bar suddenly breaks after a more or less protracted plastic regime.
Numerical results obtained from the model's implementation are compared with
the results of tensile tests on bars made of steel and of nonreinforced concrete.
With an accurate choice of the analytical shapes of the plastic strain energy, not
only the overall behavior, but also many details of the experimental response are
captured. 
Giuseppe Zurlo 
Apr 18 Monday 3pm

Gianpietro Del Piero Università di Ferrara, Italy 
History of Dome Structures THBG010 (Hardiman Research Building)Professor Del Piero will give 'a non technical presentation, centered more on cultural than on scientific aspects, of the History of Dome Structures'. 
Giuseppe Zurlo 
Apr 21

School Research Day


Grahamj Ellis 
Apr 28

Veronica Crispin Uppsala University 
The generalized algorithm for the RatliffRush operation> Let $ be a Noetherian ring and $ a regular ideal in it. In this talk we discuss the socalled RatliffRush (RR) operation on $, that gives an ideal $\tilde I$ with the same high powers is $. The operation was first studied by Ratliff and Rush in 1978. Later Heinzer et al. described different algebraic properties of RRclosed ideals in a couple of articles (1992, 1993). In 2001 Rossi and Swanson investigated how the RR operation interacts with other operations on ideals, and it turns out that it behaves quite unexpected in several cases. Some recently discovered connections between the RR operation and various algebraic properties have gained new interest in the computation of $, which is hard in general. We present a rather simple algorithm for ideals generated by monomials of the same degree in k[x,y] by means of numerical semigroups and the generalize it to three and more variables. 
Emil Skoldberg 
May 3 Tuesday

Eugene Kashdan UCD 
Mathematical and computational modelling of chemo thermotherapy and analysis of its sideeffects (Plant Science seminar room)In my talk, I will present our work on mathematical modelling and
computational analysis of chemo thermotherapy, a recently clinically
approved postsurgery treatment of nonmuscleinvasive bladder cancer. I
will show how based on the investigation of the treatment administering
device we developed a mathematical model and simulated numerically the
physical processes related to this therapy. The model is based on the
conductive Maxwell’s equations used to simulate the therapy
administration and ConvectionDiffusion equation for incompressible
fluid to study heat propagation through the bladder tissue. The model
parameters correspond to the data provided by the thermotherapy device
manufacturer. To analyse and personalise the treatment we projected our
computational domain on the actual CT image of human bladder and studied
possible sideeffects of the therapy. As a result of this research we
came with the number of recommendations aimed at maximising the effect
of the treatment while avoiding burning of the bladder. This is a joint
work with Christoph Sadee. 
Niall Madden 
May 5

Clifford Gilmore University of Helsinki 
Linear Dynamics and Derivations THBG010 Moore Institute Seminar Room (Library)Linear dynamics has been a rapidly evolving area since the late 1980s. I will begin by introducing the necessary background of hypercyclicity in order to discuss linear dynamical systems in the infinitedimensional setting.
The primary goal is to examine the hypercyclicity of generalised derivations $S \mapsto ASSB$, for fixed bounded linear operators $A,B$, on spaces of operators. Hitherto the principle result in this setting has been the characterisation of the hypercyclicity of the left and right multipliers.
The main example I will show is the existence of nontrivial hypercyclic generalised derivations on separable ideals of operators. 
Raymond Ryan 
May 10 Tuesday

Antonio Hermes Marques da Silva Júnior The Federal University of Rio Grande do Norte, Brazil/Durham University 
Gradient test for generalised linear models with random effects THBG010 Moore Institute Seminar Room (Library)This work develops the gradient test for parameter selection in generalised linear models with random effects. Asymptotically, the test statistic has a ¬chisquare distribution and the statistic has a compelling feature: it does not require computation of the Fisher information matrix. Performance of the test is verifi
ed through Monte Carlo simulations of size and power, and also compared to the likelihood ratio, Wald and Rao tests. The gradient test provides the best results overall when compared to the traditional tests, especially for smaller sample sizes. 
John Hinde 
May 20 Friday

GiG


Ted Hurley & Sejong Park 
May 21 Saturday

GiG


Ted Hurley & Sejong Park 
May 23 Monday 3pm

Rod Gow UCD 
Colloquium talk about George Salmon AMBG065The talk will give some biographical information about Salmon, and then will discuss how his ideas have proved influential, even to this day. 
Grahamj Ellis 
May 25 Wednesday 2pm

Peter Keane (PhD defence talk, NUIG) 
The autoimmune potential of alternative splicing 
Cathal Seoighe 
May 27 Friday

The 10th Annual Irish Workshop on Mathematics Learning and Support Centre


Kirsten Pfeiffer 
Jun 2




Jun 9




Jun 15 Wednesday

Alfredo Marzocchi Università Cattolica del Sacro Cuore in Brescia, Italy 
Some good reasons to study secondgradient fluids (Plant Science seminar room)Second gradient fluids (which are different from second grade fluids) are fluids in which the total power expenditure depends on the second derivatives of the velocity field. They are used in a variety of models, from numerical analysis to complex fluid mechanics. Indeed, they are not just a model. Well, yes, they are, but in some sense they represent the simplest generalisation of a simple fluid, and also in the linear case they can be useful to describe some peculiar solutions like flows in thin structures. 
Michel Destrade 
Jun 30 10am

Stephen Russell (PhD defence talk, NUIG) 
Sparse Grid Methods for Singularly Perturbed Problems 
Niall Madden 
Sep 22

Miles Rubin
Technion, Israel Institute of Technology

A unified theoretical structure for modeling interstitial growth and muscle activation in soft tissues
The objective of this paper is to develop a new unified theoretical structure for modeling interstitial growth and muscle activation in soft tissues. The model assumes a simple continuum with a single velocity field. In contrast with many other formulations, evolution equations are proposed directly for a scalar measure of elastic dilatation and a tensorial measure of elastic distortional deformation. The evolution equation for elastic dilatation includes a rate of mass supply or removal that controls volumetric growth and causes the elastic dilatation to evolve towards its homeostatic value. Similarly, the evolution equation for elastic distortional deformation includes a rate of growth that causes the elastic distortional deformation tensor to evolve towards its homeostatic value. Specific forms for these inelastic rates of growth and the associated homeostatic values have been considered for volumetric, area and fiber growth processes, as well as for muscle activation. Since the rate of growth appears in the evolution equations and not a growth tensor it is possible to model the combined effects of multiple growth and muscle activation mechanisms simultaneously. Also, robust, strongly objective, numerical algorithms have been developed to integrate the evolution equations.

Michel Destrade
