## 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) *at UPV/EHU and co-PI of the sister research group at BCAM on *Mathematical Design, Modeling, and Simulations (MATHDES)*.

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

Links: (a) Ikerbasque Profile, (b) BCAM Profile.

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.

### Iker Malaina

iker.malaina@ehu.eu

Iker Malaina is an assistant professor in the Mathematics department of the University of the Basque Country (UPV/EHU). He is specialized in solving biomedical problems by means of mathematics, and his formation is twofold, since he first obtained the B.S. degree in Mathematics in 2012 and next, the M.S. and Ph.D. degrees both in Biomedical Research, in 2013 and 2017 respectively. For this last degree, he received the Extraordinary Doctorate Award.

His research is focused on the use of artificial intelligence for the development of vaccines, the analysis of cell migration patterns, or the study of biomedical time series. Besides, he collaborates with Cruces University Hospital in the area of obstetrics and gynecology, and is a member of the research group “Innovation in assisted reproduction” of BioCruces Bizkaia Health Research Institute.

## 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.

Judit Muñoz Matute is a Postdoctoral Researcher at Euskampus. She completed her PhD on October 2019 at the University of the Basque Country (UPV/EHU) under the supervision of David Pardo and Elisabete Alberdi. She has a M.S. in Mathematical Modelling and Research, Statistics and Computing and a B.S. in Mathematics by the same university. She also performed a two-month internship at the Basque Center for Applied Mathematics (BCAM) during her Master studies.

During her PhD, she worked on numerical methods for transient partial differential equations (mostly on advection-dominated-diffusion equation, wave propagation problems and Stokes flows) including finite element and finite difference methods, space-time variational formulations, goal-oriented adaptivity, error estimation, and residual minimization methods. She has performed several research stays to work with top world researchers in her area of expertise.

She obtained a three-year postdoctoral fellowship from the Basque Government to work at BCAM within Prof. David Pardo’s group. The first two years of the fellowship, she will work at the “Oden Institute for Computational Engineering and Sciences” at the University of Texas at Austin within the group of Prof. Leszek Demkowicz.

### Ali Hashemian

E-mail:

Ali Hashemian is currently a Postdoctoral Fellow at the Basque Center for Applied Mathematics (BCAM). He received his PhD in Mechanical Engineering from Ferdowsi University of Mashhad in Iran (2014). He has been also working as a Research Assistant at Simon Fraser University in Canada, and as a Lecturer at Hakim Sabzevari University in Iran.

His research lines include interconnections of different disciplines: Computational Mechanics with emphases on NURBS-based Geometric Modeling, Computer-Aided Design/Manufacture/Engineering (CAD/CAM/CAE), Finite Element/Volume Methods (FEM/FVM), Isogeometric Analysis (IGA), and Engineering Optimization. He also has industrial backgrounds in the Automotive Industry, CNC Machining, and Turbomachinery.

I am a member of the Department of Applied Mathematics, Statistics and Operations Research at the University of the Basque Country (UPV/EHU). My current research focuses on solving geophysical inverse problems by using the Finite Element Method and advanced regression methods based on Neural Networks.

Since I finished mechanical engineering on Feb 2009, I worked in the Group of Acoustics at the University of Zaragoza until 2013 as a research support fellow in engineering projects. 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 enrolled into a Ph.D. supervised by Prof. Celorrio. My dissertation, entitled "Inverse problems in active thermography for cracks characterization", defended on Sep 2017 and, was based on a Discontinuous Galerkin method. From Sep 2017 to Oct 2019, I worked as a Postdoctoral Fellow in Computational and Applied Mathematics at the Basque Center for Applied Mathematics (BCAM) under the supervision of Prof. Pardo. My research focused on the development of new efficient numerical methods for High-Performance Computing (HPC) to predict the propagation of elasto-acoustic waves through heterogeneous materials.

### Magdalena Grigoroscuta

E-mail: * *

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.

### Jamie Taylor

E-mail: * *jtaylor@bcamath.org

Jamie Taylor is a postdoctoral researcher at the Basque Center for Applied Mathematics (BCAM) under the mentorship of Prof. Arghir Zarnescu. He completed his PhD under the supervision of Prof. Sir Ball at the University of Oxford in 2016, after completing an integrated Bachelors/Masters degree in Mathematics (MMath) at Cardiff University in 2012. Before joining his post in BCAM, he had also gained postdoctoral experience in the Mathematical Institute of the University of Oxford and the Liquid Crystal Institute at Kent State University.

His research lines are generally concerned with the application of Mathematical Analysis to problems originating from Materials Science, with a particular focus on the study of phase transitions within the context of Statistical Mechanical models. These have included works on asymptotic behaviour of mean-field models describing equilibria in liquid crystals, the derivation and analysis of novel models which aim to describe the isotropic-nematic liquid crystal phase transition in dense regimes, and numerical implementation of convex integration algorithms for describing the microstructure that arises during solid-solid phase transitions in shape-memory alloys.

Tomás Teijeiro

E-mail:

Tomás Teijeiro received his PhD in the area of Artificial Intelligence and Computer Science from the University of Santiago de Compostela (Spain) in 2017. His PhD work focused on the development of novel artificial intelligence techniques for automatic time series analysis and abstraction applied to the domain of remote health monitoring, and in particular to the knowledge-based interpretation of electrocardiogram (ECG) signals. In 2015, he did a research stay in the Laboratory for Biomedical Informatics of the University of Pavia, in Italy.

After his PhD, he stayed one year as a postdoc researcher in the CiTIUS (Research Center in Intellligent Technologies of the University of Santiago de Compostela). In this period he obtained the first prize in the Physionet/Computing in Cardiology Challenge 2017, aimed at arrhythmia detection from a short single-lead ECG signals. Then, in 2018 he joined the Embedded Systems Laboratory (ESL) of the EPFL, in Switzerland. His research during this stage was oriented to improve the energy efficiency of machine learning algorithms for long-term monitoring of health conditions using Internet-of-Things wearable devices. For this, he worked at different levels, including data acquisition, storage, transmission and processing, with the main approach being the "near-sensor computing", nowadays embedded in the "Edge Computing" paradigm.

He has supervised 7 PhD students and participated in 5 international research projects (funded by the EU and the Swiss National Science Foundation) in different roles, including Task Leader, Technical Coordinator, Work Package Leader and Data Manager.

## PhD STUDENTS

### Oscar Rodríguez

E-mail: orodriguez@bcamath.org

Oscar Rodríguez obtained a B.S. degree in Mathematics from the National University of Colombia in 2016. In 2017, he began the Master's in Applied Mathematics and obtained a degree in 2019 with a thesis entitled "About numerical solution of inverse problems", focusing on the application of Bayesian statistics in numerical methods. Since September 2019, he has joined the BCAM as a member of the "Simulation of Wave Propagation" group, conducting doctoral studies in Mathematics and Statistics doctoral program of the UPV / EHU under the supervision of Prof. David Pardo.

Felipe Vinicio Caro Gutiérrez is a PhD student at the Basque Center of Applied Mathematics (BCAM) since September 2019. He works at the group Simulation of Wave Propagation under the supervision of David Pardo and Elisabete Alberdi. He completed his degree in Mathematics at the University of Guadalajara in 2016. He earned his degree under the supervision of Emilia Fregoso Becerra with the work entitled "Metodologías de inversión conjunta 2D de datos geofísicos basadas en la técnica de gradientes cruzados". Then, he studied a M.S. in Physical Oceanography (2016-2018) at the Ensenada Center for Scientific Research and Higher Education. He earned his M.S. degree under the supervision of Oscar Uriel Velasco Fuentes with the work entitled "The effect of torsion on the structure of a single helical vortex".

Carlos received a B.S. degree in Mathematics from the University of the Basque Country (Universidad del País Vasco/Euskal Herriko Unibertsitatea - UPV/EHU) in 2018 with mentions in both Pure Mathematics and Applied Mathematics, Statistics and Computer Science. One year later, he obtained a M.S. degree in Computational Engineering and Intelligent Systems at the same university. He became an Intern within the Simulation of Wave Propagation research group at BCAM - Basque Center for Applied Mathematics while finishing his Master’s studies. Subsequently, he continued at BCAM as a Research Technician. He recently obtained a grant to fund his PhD studies in the Mathematics and Statistics doctoral program of the UPV/EHU under the supervision of Prof. David Pardo

### 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.

### Jon Ander Rivera

E-mail: riverajonander@gmail.com

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.

### Amaia Iparragirre

E-mail: amaia.iparragirre@ehu.eus

Amaia Iparragirre obtained a B.S. degree in Mathematics at the University of the Basque Country (UPV/EHU) in 2016, and a M.S. in Mathematical Research and Modelling, Statistics and Computing in 2017 at the same university. From November 2017 to December 2018, she worked as a non-doctoral researcher in the Department of Applied Mathematics, Statistics, and Operations Research of the UPV/EHU, and in October 2018 she enrolled in the Mathematics and Statistics doctoral program. In June 2019, she was awarded a Ph.D. Scholarship from UPV/EHU, and since then, she has been working on her doctoral thesis on the development of predictive models for complex sampling design survey data, under the supervision of Irantzu Barrio and Inmaculada Arostegui.

## FORMER MEMBERS

Magdalena Grigoroscuta. (Postdoc 2017-2018).

Vincent Darrigrand (Ph.D. student + Postdoc 2017-2019)

Paulina Sepúlveda (Postdoc 2018-2019)

Mostafa Shahriari (Ph.D. student + Postdoc 2018-2020)

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).