Plenary Speakers

Marcela Andrea Cruchaga

Professor at Universidad de Santiago de Chile USACH, Chile


Modelling free surfaces flows and fluid-structure interaction using embedded techniques & Experimental validation


The present work is addressed to summarize numerical and experimental analyses to validate models to describe free-surface and fluid-structure interactions. The numerical formulation is written in the framework of fixed-mesh finite element methods and immersed techniques are used to describe solid parts. The experiments developed over years are used to validate different numerical approaches and computational codes. The talk will report results of such experiments and simulations.


Google Scholar:
Scopus ID: 6701726817
WOS M-7522-2014
Researchers ANID (ex-CONICYT)

University Education:
PhD in Engineering Sciences, Universidad Politécnica de Catalunya UPC – Catalunya – España
Civil Engineering, Universidad de Buenos Aires UBA – Argentina
Current position:
Professor at Universidad de Santiago de Chile USACH, Chile

Area of interest:
Computational Fluid Mechanics and Heat Transfer – Dynamic of moving interfaces and free surface flows – Fluid-structure interactions & Vibrations – Numerical methods – Physical models – Modelling, Simulation and Validation –Work in collaboration: Metal Forming – Material Characterization

Member of:
IACM General Council – Ordinary Member from 2008-…
Advisory Board of Scientific Journals (HFF, IJNMF, LAJSS, RIMNI).
Reviewer of different International Journals
Engineering Committee at National Foundation for Scientific and Technological Development (Chile), 2011-2014.
Engineering Committee at National Commission for University Accreditation (Chile), 2015 – …
Executive Council of Chilean Society of Computational Mechanics ( from 2002. Former president 2006-2009. Secretary 2002-2006, 2010-…
Member of Argentine Association of Computational Mechanics (AMCA)aaa
Different Internal Committees at USACH.

Courses at undergraduate level: Fluid Dynamics and Mechanical Vibrations.
Courses at postgraduate level: Stabilization Techniques, Modeling and Simulation of processes, and
Material Sciences (Part: Modelling and Simulation).
Advisor: >120 (Final work to obtain the Engineering Bachelor’s degree), 14 (Engineering Sciences
Master’s degree), 5 (PhD Engineering Sciences, 3 in progress).

Publications, over: > 65 (WOS Journals), 30 (other publications, 3 book chapters), > 140 (congress
26 National and International Research Projects as principal researcher, 6 as researcher in

Outstanding paper Emerald award 2012.
USACH scientific award 2008.

Glaucio H. Paulino

Raymond Allen Jones Chair at the Georgia Institute of Technology – USA


Origami Engineering Simulations: From Metamaterials to Robots


We study the geometric mechanics of origami assemblages and investigate how geometry affects behavior and properties. Understanding origami from a structural standpoint can allow for conceptualizing and designing feasible applications across scales and disciplines of engineering. We review the basic mathematical rules of origami and use 3D-printed origami legos to illustrate those concepts. We then present a reduced-order-model, which consists of an improved bar-and-hinge model, to simulate origami assemblages. We explore the stiffness of tubular origami and kirigami structures based on the Miura-ori folding pattern. A unique orientation for zipper coupling of rigidly foldable origami tubes substantially increases stiffness in higher order modes and permits only one flexible motion through which the structure can deploy. We couple compatible origami tubes into a variety of cellular assemblages that enhances mechanical characteristics and geometric versatility, leading to the design of structures and configurational metamaterials that can be deployed, stiffened, and tuned. We have designed, fabricated (using direct laser writing), and tested (SEM) this metamaterial at the micron-scale. This resulted not only in the smallest scale origami assembly, but also in a metamaterial with intriguing mechanical properties, such as anisotropy, reversible auxeticity, and large degree of shape recoverability. The presentation concludes with a vision toward the field of origami engineering, including origami robots with distributed actuation, allowing for on-the-fly programmability, and other interdisciplinary applications.


Professor Paulino is the Raymond Allen Jones Chair at the Georgia Institute of Technology. His seminal contributions in the area of computational mechanics include the development of methodologies to characterize the deformation and fracture behavior of existing and emerging materials and structural systems; topology optimization for large-scale multiscale/multiphysics problems; variational methods; deployable structures and origami engineering.

He has devoted significant efforts to increasing collaborative work between the scientific communities in mechanics and materials from the U.S. and developing countries through a series of workshops funded by NSF, including events in Brazil, Argentina, and South Africa. According to a Daily Digest article, he created “Tech’s first Origami Engineering class” (arguably the first in the USA) during the Fall/2017 and received the “Class of 1940 Course Survey Teaching Effectiveness Award”.

He is a Fellow of all major professional societies, including American Society of Mechanical Engineering (ASME), American Society of Civil Engineering Engineering Mechanics Institute (ASCE EMI), American Academy of Mechanics (AAM), International Association for Computational Mechanics (IACM), US Association for Computational Mechanics (USACM) and, just announced, Society of Engineering Science (SES). He received prestigious awards such as the Walter L. Huber Civil Engineering Research Prize from ASCE , the Ted Belytschko Applied Mechanics Award from ASME, the Daniel C. Drucker Medal of ASME, the Raymond D. Mindlin Medal of ASCE, and the Reddy Medal from Mechanics of Advanced Materials and Structures (MAMS 2020). He also received the 2015 Cozzarelli Prize from the National Academy of Sciences, “which recognizes recently published PNAS papers of outstanding scientific excellence and originality.”

He was the Shimizu Professor at Stanford Univ. in 2016 and the 2017 Southwest Mechanics Lecture Series Speaker. He received the 2020 Simpson Distinguished Visiting Professorship from the Department of Mechanical Engineering at Northwestern Univ. in “recognition of his outstanding scholarship and leadership in mechanical engineering.”

He was President of the Society of Eng. Science (SES) in 2018, and a member of the Board of Directors of EMI (Engineering Mechanics Institute), 2015-2018. He is Associate Editor of the Journal of Optimization Theory & Applications, ASCE J. of Eng. Mechanics, and Mechanics Research Communications, and a Regional editor of the International Journal of Fracture.

His contributions to the permanent scientific literature include more than 250 scholarly publications in peer-refereed international journals, including interdisciplinary journals (such as PNAS & Physical Review Letters), and a book on The Symmetric Galerkin Boundary Element Method (Springer-Verlag, 2008).

More information about his research and professional activities can be found at the following url:

Serge Prudhomme

Polytechnique Montréal(Technological University), Quebec, Canada


Error estimation and adaptivity for computer simulations: perspectives and challenges.


More than two decades have passed since the early works on goal-oriented error estimation and adaptivity for finite element approximations of boundary-value problems. While the concepts for adjoint-based estimation and control of the errors in quantities of interest have been extended to a large number of discretization methods and applied to a wide range of model problems, the methodology still presents challenges, for instance, in the case of time-dependent problems, non-linear problems, or coupled problems. In this talk, we will present the state-of-the-art of goal-oriented error estimation and adaptive methods, describe some of the challenges associated with either the treatment of coupled problems, the design of reduced-order models, or their use in uncertainty quantification. We will conclude by providing some perspectives for extending these techniques to the field of scientific machine learning.


Serge Prudhomme currently holds a position as full professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal. Before joining Polytechnique Montréal in 2012, he was a research scientist in the Institute for Computational Engineering and Sciences at The University of Texas at Austin.

His research interests cover a wide range of topics in computational engineering and sciences and have long focused on the development of reliable and efficient computational methods for the prediction of physical phenomena.

He is generally interested in a posteriori error estimation and adaptive methods for numerical approximations of partial differential equations and has contributed to the development of so-called goal-oriented methods to control discretization and modeling errors.

He has been working more recently on the development of verification and validation processes for predictive simulation-based engineering and science.

Serge Prudhomme has published more than 75 peer-reviewed scientific articles and book chapters and has given more than 100 invited talks and short courses at international conferences and workshops.

He graduated from Ecole Centrale de Lille, France, in 1991 with a diploma in engineering and received an M.Sc. in Mechanical and Aerospace Engineering from the University of Virginia, USA, in 1992. He then earned in 1999 a Ph.D. in Aerospace Engineering from The University of Texas at Austin.

He is currently a member of USACM, IACM, SIAM, and is the founding president of the Canadian Association for Computational Science and Engineering (CACSE).

He was a plenary speaker at ADMOS in 2011 and at the 38th Woudschoten Conference in the Netherlands in 2013 and was a semi-plenary speaker at USNCCM in 2015.

João Luiz F. Azevedo

Senior Research Engineer – Aerodynamics Division DCTA / IAE / ALA – Brazil
President of the International Council of the Aeronautical Sciences (ICAS)


High Lift Flow Simulations


The present talk will discuss the simulation of high lift flows over typical airliner configurations using CFD techniques. The work was developed, to a great extent, at Instituto de Aeronáutica e Espaço (IAE) and at Instituto Tecnológico de Aeronáutica (ITA), both located at São José dos Campos. The flows of interest in this work require at least a Reynolds-averaged Navier-Stokes formulation, coupled to a suitable turbulence model, in order to be able to resolve the complex aerodynamic phenomena present in such flows. Typically, the additional coupling of a laminar-turbulent transition model helps in the accurate reproduction of flow topologies observed in experimental data. Currently, some attempts at the use of wall-modeled large eddy simulations (WMLES) have also been considered in order to address some of the difficulties in capturing the physics of these flows. The talk will highlight some of the simulations and efforts that have been undertaken in our research group as well as it will attempt to indicate issues that required further attention in order to allow the continuing development of this research area.


Joao Luiz F. Azevedo

Azevedo has graduated in Aeronautical Engineering at Instituto Tecnológico de Aeronáutica (ITA) in 1981, and he holds M.S. (1983) and Ph.D. (1988) degrees in Aeronautics and Astronautics Engineering from Stanford University.

He is a Senior Research Engineer at Instituto de Aeronáutica e Espaço (IAE), an institute of the Department of Aerospace Science and Technology (DCTA) of the Brazilian Air Force, and an Adjunct Professor at ITA.

He is a Fellow of the American Institute of Aeronautics and Astronautics (AIAA) and a member of the National Academy of Engineering in Brazil.

He is currently the President of the International Council of the Aeronautical Sciences (ICAS).

He has experience in Aerospace Engineering, with emphasis in Aerodynamics and Aeroelasticity, and his research focus encompasses computational aerodynamics, unsteady aerodynamics, computational aeroelasticity, CFD, unstructured mesh methods, high-order methods, and turbulence modeling.

Alison Marsden, PhD

Professor of Pediatrics (Cardiology) and Bioengineering, and by courtesy of Mechanical Engineering
Institute for Computational and Mathematical Engineering
Stanford University – USA


Patient-specific modeling for virtual treatment planning in cardiovascular disease


Cardiovascular disease is the leading cause of death worldwide, with nearly 1 in 4 deaths caused by heart disease alone. In children, congenital heart disease affects 1 in 100 infants, and is the leading cause of infant mortality in the US. Patient-specific modeling based on medical image data increasingly enables personalized medicine and individualized treatment planning in cardiovascular disease patients, providing key links between the mechanical environment and subsequent disease progression. We will discuss recent methodological advances in cardiovascular simulations, including (1) uncertainty quantification to assess reliability of simulation predictions, and (2) a unified finite element formulation for fluid structure interaction and fluid solid growth simulations. Clinical application of these methods will be demonstrated in two clinical applications: 1) virtual treatment planning in pediatric patients with peripheral pulmonary stenosis, and 2) prevention of vein graft failure after coronary bypass graft surgery. We will briefly discuss our open source SimVascular project, which is available to the scientific community ( Finally, we will provide an outlook on recent successes and challenges of translating personalized simulation tools to the clinic.


Alison Marsden is a Professor in the departments of Pediatrics, Bioengineering, and, by courtesy, Mechanical Engineering at Stanford University.
She is a member of the Institute for Mathematical and Computational Engineering. From 2007-2015 she was a faculty member in Mechanical and Aerospace Engineering at UCSD.
She graduated with a BSE degree in Mechanical Engineering from Princeton University in 1998, and a PhD in Mechanical Engineering from Stanford in 2005.
She was a postdoctoral fellow at Stanford University in Bioengineering from 2005-07.
She was the recipient of a Burroughs Wellcome Fund Career Award at the Scientific Interface in 2007, an NSF CAREER award in 2011.
She was elected fellow of AIMBE and SIAM in 2018 and the APS DFD in 2020. Her research focuses on the development of numerical methods for cardiovascular blood flow simulation and application of engineering tools to impact patient care in cardiovascular surgery and congenital heart disease.

Social Media

Organizer & Promoter


Supporting Organizations

Supporting Organizations

Supporting Organizations

Supporting Organizations

Supporting Organizations

Supporting team

Supporting team