## PROFESSORS

David Pardo is a Research Professor at Ikerbasque, the University of the Basque Country UPV/EHU, and the Basque Center for Applied Mathematics (BCAM). He has published over 160 research articles and he has given over 260 presentations. In 2011, he was awarded as the best Spanish young researcher in Applied Mathematics by the Spanish Society of Applied Mathematics (SEMA). He leads a European Project on subsurface visualization, several national research projects, as well as research contracts with national and international companies. He is now the PI of the research group on *Applied Mathematical Modeling, Statistics, and Optimization (MATHMODE)*.

His research interests include computational electromagnetics, petroleum-engineering applications (borehole simulations), adaptive finite-element and discontinuous Petrov-Galerkin methods, multigrid solvers, image restoration algorithms, and multiphysics and inverse problems.

Links: (a) Google Scholars Profile, (b) Ikerbasque Profile, (c) BCAM Profile. (d) Linkedin.

Mikel Lezaun obtained his Bachelor's degree in Mathematics at University of Zaragoza in 1975. In 1977, he became an assistant professor at the University of the Basque Country (UPV/EHU). After a two-years stay at Bordeaux University, he obtained his Ph.D. at UPV/EHU under the supervision of Professor Maurice Gaultier. Mikel Leazun is a full professor at UPV/EHU since 1995.

During 1996-2001, Mikel Lezaun was appointed as Director of the Department of Applied Mathematics, Statistics, and Operational Research. During 2001-2006, he was the Vicepresident of the Spanish Society of Applied Mathematics (SEMA). Since 2010, he is a member of the Board for Research at UPV/EHU. Since 2011, he is the treasurer of the Network on Mathematics and Industry (math-in). During 2010-2015, he was the Director of the Master's program on Mathematical Modeling, Statistics, and Computing, which counts with the participation of the University of the Basque Country, University of Zaragoza, University of Oviedo, University of La Laguna, University of La Rioja, and Public University of Navarra.

Inmaculada Arostegui received the B.S. degree in Mathematics from the University of the Basque Country UPV/EHU, the Master of Health Science in Biostatistics from the Johns Hopkins University at Baltimore, Maryland, and the Ph.D. in Science, Mathematics specialty, from the University of the Basque Country UPV/EHU.

She is a Professor of the Department of Applied Mathematics and Statistics and Operational Research at the School of Science and Technology since 1996 and the team leader of the “Biostatistics Research Group” since 2010 at the University of the Basque Country UPV/EHU. Her main research interest is focused on statistical methodology in biomedical and experimental research. Specific topics of interest are the development and validation of prediction models, modelling patient-reported outcomes (such as health status, health-related quality of life, functional dependence, satisfaction, ...), longitudinal data analysis and risk stratification. She works in Clinical Epidemiology in collaboration with the Clinical Research Unit of the Galdakao Hospital and also in Toxicology, Genetics, and Ecology in collaboration with several research groups at the School of Science and Technology. She has published over 50 scientific articles in experimental and medical research fields.

Carlos Gorria is a member of the Department of Applied Mathematics, Statistics and Operations Research of the University of the Basque Country (UPV/EHU). He obtained the Degree in Mathematics at the UPV/EHU in 1995 and he worked in Numerical Analysis. Later on, he continued the training for his doctoral thesis in collaboration with the UPV/EHU and the Mathematical Modeling Department of the Technical University of Denmark. He obtained his Ph.D in 2003.

Since 1996 up to the present he holds a position as lecturer in the Faculty of Sciences and Technology of the UPV/EHU. He has been teaching the following subjects: Introduction to Numerical Calculus, Numerical methods for solving ordinary differential equations and Mathematical modelling in the third course of the degree in Mathematics and some subjects of general Mathematics and Differential Equations in the first courses of the degree in Chemical Engineering. Since 2016, he is the Director of the Master's program on Mathematical Modeling, Statistics, and Computing, which counts with the participation of the University of the Basque Country, University of Zaragoza, University of Oviedo, University of La Laguna, University of La Rioja, and Public University of Navarra.

Urtzi Ayesta is a CNRS Director of Research working at IRIT (with a secondary appointment at LAAS). He also holds an adjunct lecturer position (part-time appointment funded as an Ikerbasque Professor) in the Computer Science Faculty at the University of the Basque Country. His research interests include stochastic processes, optimization, control theory and their applications to communication systems and networking.

Ander Murua obtained the Degree in Mathematics at the University of the Basque Country (UPV/EHU) in 1987. He received his PhD degree from the University of Valladolid under the supervision of Prof. Sanz-Serna in 1995. Since the beginning of his career, he has been lecturing in the School of Computer Sciences in San Sebastian. He is full professor at the Department of Computer Science and Artificial Intelligence of UPV/EHU since 2017.

He has a long experience of research in applied and computational mathemathics, with special focus on algebraic techniques for differential equations and geometric numerical integration. He has published over 42 research articles in highly rated scientific journals. He has been actively collaboration with several well established researchers, in particular in the field of geometric numerical integration (such as E. Hairer, Ph. Chartier, F. Casas, S. Blanes, M.P. Calvo, in addition to his former PhD supervisor) and also in dynamical astronomy (such as Jacques Laskar from the Observatoir de Paris and CNRS).

Elisabete Alberdi studied her degree in Mathematics in the period (1993-1998). She did the first three academic years of the degree in the University of the Basque Country (Leioa) and she finished her studies in the University Complutense (Madrid). She did her doctoral thesis in the Superior School of Engineering of Bilbao, Department of Applied Mathematics, University of the Basque Country (UPV/EHU) under the supervision of Juan José Anza Aguirrezabala. The doctoral program she followed was “Mechanical Engineering of mechanical and structural systems” and the thesis was entitled “Numerical methods for stiff differential equations. Application to the discretization of the Finite Element Method”.

She has worked in Lea Artibai Vocational Training School in the period 1998-2011, where she has taught in Secondary School and University Levels. Lea Artibai is a cooperative of Mondragon Cooperatives Group and it belongs to the Basque Science Net.

Since 2011 up to the present she is Assistant Professor in the Civil Engineering School, University of the Basque Country (UPV/EHU), where she teaches Computing in the first course of the degree of Mines and Energy Engineering and in the first course of the Civil Engineering degree.

He defended his doctoral thesis (Cum Laude) in Automation and Industrial Electronics from the University of Navarra in 2006, and a second doctoral thesis in Information and Communication Technologies from the University of Alcalá de Henares in 2013, through which he received the Extraordinary Doctorate Award from said University. He is currently the Knowledge Leader in Analysis and Optimization at TECNALIA, Associate Professor at the University of the Basque Country (UPV / EHU) and Visiting Researcher (by invitation) of the Basque Center for Applied Mathematics (BCAM). His research activity focuses on information theory and coding, data analysis, machine learning, graph theory, heuristics and, in general, descriptive, predictive and predictive analytics for solving problems related to intelligent distribution networks (Smart Grids), telecommunications, operational research, transport and mobility, among many others. In these fields, he has published to date more than 250 scientific-technical publications, edited 6 books, directed 30 TFG / TFM, supervised 8 doctoral theses, participated in 7 patents and directed several research projects. He has been the recipient, on two occasions, of the Torres Quevedo program of the Ministry of Science and Innovation (2007 and 2009). He is a senior member of the IEEE, and has been awarded the "Talent of Bizkaia" award in recognition of his experience and scientific curriculum. He combines his passion for data science with his love of sports and reading.

Joseba Makazaga studied the Bsc Degree in Informatics in the University of the Basque Country (UPV/EHU) in the period 1984-89. Later he worked in the private industry as programmer-analyst (1989-92) and returned to the university as lecturer in the Computer Engineering Faculty of UPV/EHU. There he continued the training for his doctoral thesis and under the direction of A. Murua he defended his PhD in Donostia in 2007.

Since then, he has been collaborating with several well established researchers in the field of Geometric Numerical Integration (such as E. Hairer, Ph. Chartier, F. Casas, S. Blanes, M.P. Calvo, in addition to his former PhD supervisor) and also in dynamical astronomy (such as Jacques Laskar from the Observatoir de Paris and CNRS).

He is member of the department of Computer Science and Artificial Intelligence and from 1992 to the present. He has been teaching several subjects in the Bsc. in Informatics Engineering: Graph Theory, Computer Graphics, Numerical Computation, Scientific Computing. During 2015-2018, Joseba Makazaga was appointed as Director of the Department of Computer Science and Artificial Intelligence.

Josu Doncel is an assistant professor in the Applied Mathematics, Statistics and Operations Research department of the University of the Basque Country. He obtained from the same university an Industrial Engineering degree in 2007, the B.Sc. in Mathematics in 2010 and, in 2011, the MS degree in Applied Maths and Statistics. He received in 2015 the PhD degree from Université de Toulouse (France). He has held research positions at LAAS-CNRS (France), INRIA Grenoble (France) and BCAM-Basque Center for Applied Mathematics (Spain) and teaching positions at the following French universities: ENSIMAG, INSA-Toulouse and IUT-Blagnac. He has also held a visiting professor position at INRIA Paris (France).

His research interests include the modelling, optimization and performance evaluation of distributed large stochastic systems such as telecommunication networks.

### Irantzu Barrio

irantzu.barrio@ehu.eus

Phone: +34 946 01 2504

Irantzu Barrio is an Assistant Professor of the Department of Applied Mathematics and Statistics and Operations Research at the University of the Basque Country UPV/EHU. She obtained from the same university the B.S. degree in Mathematics in 2006 and M.S in Mathematical Modelling, Statistics, and Computation in 2010. In 2015 she received her Ph.D. degree in Mathematics from the University of the Basque Country. Her main research interests are focused on the development of statistical methodology oriented to the resolution of complexities derived from scientific research, mainly in biomedical or experimental areas. Specific topics of interest are the development and validation of prediction models.

## POSTDOCTORAL FELLOWS

Julen Alvarez-Aramberri completed his degree in physics at the University of Basque Country in 2007 after concluding his last year as Erasmus student at the University of Florence. Then, he studied a M.S. in Quantitative Finance (2007-2009) and a M.S in ``Mathematical Modelization, Statistics and Computation'' (2010) at the University of Basque Country. In 2015, he received the Ph.D degree in Applied Mathematics in co-tutelage between the University of Basque Country and the University of Pau (INRIA, MAGIQUE3D group) with the work entitled *hp*-Adaptive Simulation and Inversion of the Magnetotelluric Measurements. He was awarded with the *Extraordinary Ph.D. Prize of the UPV/EHU*. Since 2017, he is a Postdoctoral Researcher in Computational and Applied Mathematics at University of Basque Country (UPV/EHU). In 2018, he obtained a three years Postdoctoral Fellowship from the Basque Government. He is currently in a two-years research stay at Columbia University, New York, USA.

Mikel Antoñana completed his degree in Computer Engineer at the University of the Basque Country (UPV/EHU) in 1992. He worked in the private industry until 2009 and then, returned to the University. In 2012 he studied a master degree of Computer Engineering and Intelligent Systems at UPV/EHU.

He received his PhD degree from the University of the Basque Country under the supervision of Joseba Makazaga and Ander Murua in 2017. Since then, he has been collaborating with his former Ph.D supervisors in his reserach on the efficient numerical integration methods for the Gravitational N-Body Problem. He is currently a part time assistant professor in the Department of Applied Mathematics of the University of the Basque Country.

### Vincent Darrigrand

E-mail: vincent.darrigrand@gmail.com* *

I completed my degree in Mathematics at the University of Pau in 2008. In 2010, then I obtained the "agrégation" of mathematics which is a habilitation for teaching mathematics in High school and university. In 2011, I studied a master degree in applied mathematics in Toulouse.

From Oct. 2013 to Sept. 2017, I was a Ph.D. student within the "Department of Applied Mathematics, Statistics and Operational Research" at the University of the Basque Country under the supervision of David Pardo and Hélène Barucq from INRIA at the University of Pau (France). From Nov. 2017, I am a Post-Doctoral fellow at BCAM.

I currently hold a Postdoctoral position at the Basque Center for Applied Mathematics (BCAM), in the Computational and Applied Mathematics group.

My research interests lie in combining classical and trendy aspects of approximation methods in order to develop and implement numerical schemes for mathematical models arising from real-life problems. These include elastic deformations, acoustic and elasto-acoustic wave propagation, materials science. At present, I am focusing on poro-elastic media derived from petroleum-engineering applications with the goal of predicting elasto-acoustic wave propagation through the use of high-order finite element methods and finite differences.

I am currently a Postdoctoral Fellow in Computational and Applied Mathematics at the Basque Center for Applied Mathematics (BCAM) under the supervision of Prof. Pardo. My current research focuses on the development of new efficient numerical methods for High-Performance Computing to predict the propagation of elastic-acoustic waves through elastic and poroelastic materials.

Since I finished mechanical engineering on Feb 2009, I worked in the Group of Vibroacústica de la Universidad de Zaragoza until 2013 as a research support fellow in engineering projects managed through the Oficina de Transferencia de Resultados de Investigación (OTRI). My main task there was predicting indoor and outdoor sound in the field of building acoustics and environmental noise, as well as measuring sound. During this period, I studied a master in Applied Mechanics that I finished on Sep 2011 after which I started to develop my doctoral dissertation supervised by Prof. Celorrio. My dissertation, titled "Inverse problems in active thermography for cracks characterization", was finally defended on Sep 2017 and it was based on Galerkin's discontinuous finite element method.

I am interested in computationally solving real-world problems related to acoustics, heat, geophysics, rock and petroleum engineering.

Paulina Sepúlveda completed her degree in Mathematics at Pontificia Universidad Católica de Valparaíso, Chile in 2012. She received her PhD. degree in Mathematical Sciences at Portland State University, USA in January 2018 under the supervision of Prof. Jay Gopalakrishnan.

She was an intern student at US Geological Survey in Vancouver, Washington, USA in Summer 2014, and at Lawrence Livermore National Laboratory, in Livermore, California in Summer 2017. Since May 2018, she is a Postdoctoral Researcher at BCAM, in the group "Simulation of wave propagations" and MATHMODE under the supervision of Dr. David Pardo.

## PhD STUDENTS

### Ana Fernández-Navamuel

E-mail:

anafdeznavamuel@gmail.com

Ana Fernández-Navamuel is a PhD student at Tecnalia Research and Innovation and the Basque Centre of Applied Mathematics (BCAM) since October 2018. She was graduated on Industrial Engineering by the University of Cantabria in 2016. In 2017, she worked as a researcher at the same university in the development of a control system for the current distribution in electric alternators, in collaboration with SEG Automotive. In 2018, she graduated on the Master of Industrial Engineering, also in the University of Cantabria, conducting the final project in cooperation with the infrastructures department of Tecnalia, which contributed to her research interests in the development of numerical methods for Structural Health Monitoring.

Mostafa Shahriari I finished my bachelor degree in applied mathematics at University of Kashan in 2011. In the same year, I started my master degree in Isfahan University of Technology. My thesis subject was 'A reproducing kernel based method for convection diffusion problems'. I finished my master degree in 2013. In November 2014, I join the group of reliable finite element simulation at BCAM as a Ph.D. student. Since February 2015, I Joined the group of Mathematical Modeling, Simulation, and Industrial Applications (M2SI). My Ph.D is under joint supervision of Shaaban A. Bakr (Assiut Univ., Egypt) and David Pardo (UPV/EHU, BCAM, Spain).

In 2014, I finished a Bachelor´s degree in Mathematics at the University of the Basque Country (UPV/EHU). In 2015, I completed the Master in Mathematical Modelling and Research, Statistics and Computing at the same University. During summer of 2015, I was in an internship at the Basque Center of Applied Mathematics (BCAM) working at my master's thesis under the supervision of Elisabete Alberdi and David Pardo within the group "Simulation of Wave Propagation".

Since November 2015, I am a PhD student in the Department of Applied Mathematics, Statistics and Operational Research at UPV/EHU under the supervision of David Pardo and Elisabete Alberdi.

I finished my Bachelor´s degree in Mathematics at the University of the Basque Country (UPV/EHU) in 2017. The following year, I completed a Master in Mathematical Modelling and Research, Statistics and Computing at the same university. Between April and July of 2018, I was in an internship at the Basque Center of Applied Mathematics (BCAM) working at my master's thesis within the group "Simulation of Wave Propagation" and under the supervision of David Pardo and Elisabete Alberdi.

## FORMER MEMBERS

Theophile Chaumont-Frelet (Postdoctoral Fellow, 2016-2018).

Ángel Rodríguez-Rozas (Postdoctoral Fellow, 2015-2018).

Adrian Galdrán Cabello (Ph.D., 2014-2016).

Aralar Erdozain (Ph.D., 2013-2016).

Jon Quintana (Ph.D., 2010-2014).

Shaaban Ali Bakr (Postdoctoral Fellow, Fall 2012; 2015-2016).

Daniel Garcia Lozano (Ph. D., 2014-2018; Postdoctoral Fellow, 2018-2019).