Eurogen 2025 Program

Plenary speakers

Dr. Cornelia Grabe

German Aerospace Center DLR, Germany

Prof. David Greiner

University of Las Palmas de Gran Canaria, Spain

Prof. Rainald Löhner

George Mason University, USA

Prof. Marko Mäkelä

University of Turku, Finland

Dr. W. J. Vankan

Netherlands Aerospace Centre, Netherlands

Dr. Cornelia Grabe, German Aerospace Center DLR, Germany

Dr. Cornelia Grabe’s presentation will explore the integration of adjoint-based methods and machine learning for data-driven approaches to turbulence modeling. These innovative methods promise higher prediction accuracy, improving the effectiveness of turbulence models in design and optimization—a topic closely aligned with the conference’s focus on advancing computational engineering solutions.

Dr. Grabe earned her PhD from the University of Stuttgart in 2012. Following this, she joined the C²A²S²E department (Center for Computer Applications in Aerospace Science and Engineering) within the Institute of Aerodynamics and Flow Technology at the German Aerospace Center (DLR) in Göttingen as a postdoctoral researcher. Her work focused on developing CFD-compatible laminar-turbulent transition models for aircraft applications.

In 2017, Dr. Grabe became the head of the C²A²S²E department, and since 2023, she has also served as Deputy Head of the Institute of Aerodynamics and Flow Technology in Göttingen, overseeing aeronautical research and the development of numerical methods.

Dr. Grabe’s expertise lies in the development of advanced computational tools for aerospace applications. Under her leadership, the C²A²S²E department has been at the forefront of developing compressible CFD solvers such as TAU and CODA, cutting-edge turbulence and transition models, multi-disciplinary analysis and optimization methods, reduced-order and surrogate models, and scale-resolving simulation methods. These tools are widely applied in aerospace industries and academic institutions across Europe, reinforcing her authority in the field.

Prof. David Greiner, University of Las Palmas de Gran Canaria, Spain

Dr. David Greiner is an Associate Professor at the Civil Engineering Department and the Institute of Intelligent Systems and Numerical Applications in Engineering (SIANI) at the Universidad de Las Palmas de Gran Canaria (ULPGC), Spain. He holds a degree in Industrial Engineering (Mechanical) and a PhD in Intelligent Systems and Numerical Applications in Engineering.

Since 1995, Dr. Greiner's research has focused on optimal design in engineering applications using evolutionary algorithms. His extensive publication record includes over 120 works, encompassing JCR-indexed journal articles, edited books, book chapters, and presentations at national and international conferences. He has actively contributed to various national and international research projects, including the INGENET research network funded by the European Union (1997–2002). Additionally, he has held visiting scholar positions at Rensselaer Polytechnic Institute in the USA and the University of Jyväskylä in Finland.

Dr. Greiner has served as a reviewer for more than 30 JCR-indexed journals (including Elsevier, Springer, IEEE, and MDPI) and as an organizer or scientific committee member for numerous international conferences, such as EUROGEN, CMN, GECCO, IEEE-CEC, Civil-Comp Conferences, and ECTA. Notably, he has served as General Chair for:

EUROGEN 2013
The XVIII Spanish-French School “Jacques-Louis Lions” on Numerical Simulation in Physics and Engineering (EHF 2018)
The Spanish-Portuguese Congress on Numerical Methods in Engineering (CMN 2022)

Dr. Greiner has also held various administrative roles at ULPGC, including Vice-Dean of the Industrial and Civil Engineering School (2007–2013), Academic Secretary and Deputy Director at the SIANI Institute (2014–2017), and Director of Scientific Organization and Research at the Vicerrectorate of Research & Innovation (2017–2021).

Dr. Greiner’s dedication to research, teaching, and scientific collaboration underscores his significant contributions to computational engineering and optimization techniques.

Prof. Rainald Löhner, George Mason University, USA

Dr. Rainald Löhner is the head of the Computational Fluid Dynamics (CFD) Center at the College of Science, George Mason University, located in Fairfax, Virginia, near Washington, D.C. He earned his MSc in Mechanical Engineering from Technische Universität Braunschweig in Germany and holds both a PhD and DSc in Civil Engineering from the University College of Swansea, Wales.

Dr. Löhner’s research interests encompass a wide range of fields, including numerical methods, field solvers, grid generation, parallel computing, visualization, pre-processing, fluid-structure interaction, shape and process optimization, digital twins, and computational crowd dynamics. His innovative codes and methodologies have been widely applied across diverse industries and research domains, such as:

Aerodynamics: Analysis of airplanes, drones, cars, and trains.
Hydrodynamics: Studies on ships, submarines, and underwater autonomous vehicles (UAVs).
Shock-Structure Interaction: Simulation and assessment of dynamic stress effects.
Dispersion Analysis: Urban area modeling for safety and environmental studies.
Haemodynamics: Research on vascular diseases and blood flow dynamics.
Turbulence Studies: Fundamental investigations of chaotic and turbulent flows.
Crowd Dynamics: Modeling and optimizing evacuation strategies and the management of mass events.

Dr. Löhner has authored more than 800 scientific publications, including a widely respected textbook, Applied CFD Techniques. He also serves on the editorial boards of seven international scientific journals.

Prof. Marko Mäkelä, University of Turku, Finland

Professor Marko M. Mäkelä, a leading expert in applied mathematics, serves as Vice Head of the Department of Mathematics and Statistics at the University of Turku, Finland. He earned his Ph.D. in Computer Science from the University of Jyväskylä in 1990.

Nonsmooth optimization (NSO) is one of the most challenging areas in deterministic optimization, dealing with problems where the objective or constraint functions have discontinuous gradients. NSO has critical applications in diverse fields, including optimal control, engineering, computational chemistry, data analysis, and machine learning. Beyond these direct applications, smooth optimization techniques—such as decomposition methods, dual formulations, and exact penalty methods—often lead to NSO problems that are smaller in dimension or simpler in structure. Additionally, optimization problems that are analytically smooth may exhibit nonsmooth behavior numerically, further broadening the relevance of NSO.

Professor Mäkelä’s research spans nonsmooth and nonconvex analysis, multiobjective optimization, and the application of these techniques to solve real-world industrial problems. His extensive expertise in the theory and practice of NSO makes his contributions invaluable to the field of computational mathematics.

Dr. W. J. Vankan, Netherlands Aerospace Centre, Netherlands

Dr. Jos Vankan holds an MSc in Mechanical Engineering and a PhD in Biomechanics from TU Eindhoven, the Netherlands. With over 25 years of experience as an R&D engineer, senior scientist, and principal scientist at the Royal Netherlands Aerospace Centre (NLR) in Amsterdam, he is a recognized leader in aeronautical research and development. He currently serves as a principal scientist in NLR’s Aerospace Vehicles Division and is a member of the NLR Science Society, which ensures the scientific quality of the organization’s work.

Dr. Vankan has been extensively involved in numerous international multidisciplinary aeronautical R&D projects over the course of his career. His expertise lies in multidisciplinary and multi-objective design optimization, with significant contributions in the following areas:

HAR Wing Design: NLR R&D lead in the UPwing project, focusing on high-aspect-ratio (HAR) multifunctional wing design and advancements in novel control technologies.
Aircraft Concept Studies: Lead researcher in studies on aircraft concepts and powertrain systems across various international research projects.
Composite Manufacturing Techniques: Contributions to technology developments in thermoplastic composites manufacturing and assembly techniques, such as induction welding modeling, in recent research initiatives.
Aero-Structural Modeling: Involvement in aero-structural modeling and design of composite fan blades for scaled wind-tunnel testing of turbofan engines.

Dr. Vankan’s long-term dedication to advancing aeronautical technologies and his involvement in cutting-edge international projects make him a pivotal figure in the aerospace research community.

Program at a glance

Eurogen 2025 program as an image. Full program in text below.

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The program was updated June 25. Some minor changes may still occur.

Full Conference Program (pdf)

Monday, September 15


17:00–17:45	Lahti City Tour by Bus. Departures from the hotels at 17:00. The tour ends at Lahti City Hall for the Welcome Reception.
18:00–19:00	Welcome Reception at Lahti City Hall Address: Harjukatu 31, Lahti

Tuesday, September 16


8:00	Registration at the main entrance of LUT University Street address: Mukkulankatu 19, Lahti

Opening and plenary presentations

Auditorium 1


9:00-9:15	Opening of the conference Welcome address by Jari Hämäläinen, EUROGEN 2025 Conference Chair Welcome address by Jaana Sandström, Vice rector of LUT University
9:15-9:45	Plenary presentation by Dietrich Knörzer: 30 Years EUROGEN - Evolutionary Algorithms in Engineering and Computer Science
9:45-10:30	Plenary presentation by David Greiner: Hybridizing Surrogate Modeling and Evolutionary Algorithms for Optimum Engineering Design Problems in Computational Engineering
10:30-11:00	Coffee break

Parallel sessions

	Auditorium 1	Lecture hall A122
11:00-12:30	Mini-symposium on Machine learning and data-driven innovations in aerodynamic optimization and uncertainty quantification (I) proposed by Esther Andres Perez, Rodrigo Castellanos, Domenico Quagliarella Session chair: D. Quagliarella	Thematic session on Topology optimization Session chair:
11:05-11:25	Exploring uncertainty in multidisciplinary wing design processes Marta A. Martín, Jose Fernández Montes, Sergio De Lucas-Bodas, Andrés Mateo-Gabín	On thermodynamic topology optimization with an implemented third medium regularization scheme Max von Zabiensky, Dustin R. Jantos, Philipp Junker
11:25-11:45	Gradient-enhanced Bayesian optimization for aerodynamic design Emre Özkaya, Long Chen, and Nicolas R. Gauger	A fictitious physical model for visibility evaluation and its application in engineering design Xiao Huang, Kaiwen Guan, and Takayuki Yamada
11:45-12:05	A data-driven approach for turbulence modelling of laminar separation bubbles F. A. D’Aniello, G. Longobardo, P. Catalano, D. Quagliarella	Evolutionary topology optimization of multipressure actuation compliant mechanism with a virtual flux method Vitor H. L. C. Lima, Renato Pavanello
12:05-12:25	Propeller blades shape optimization using hybrid genetic algorithms and surrogate models J. Berrueco-Fernández, I. Robledo, E. Andrés, R. Castellanos	Topology optimization of magnetic shields using level set method with body-fitted mesh adaptation Shingo Hiruma
12:30-13:45	Lunch

Plenary presentation

Auditorium 1


13:45-14:30	Plenary presentation by Cornelia Grabe: The Potential of Data-Driven Turbulence Modeling for Industrially Relevan Aerodynamic Applications

13:45-14:30

Plenary presentation by Cornelia Grabe: The Potential of Data-Driven Turbulence Modeling for Industrially Relevan Aerodynamic Applications

Parallel sessions

	Auditorium 1	Lecture hall A122
14:35-16:00	Mini-symposium on Clear session: control design for environmental advancement and research (I) proposed by S. Bezzaoucha, C. Choquet, É. Comte Session chairs: C. Choquet, É. Comte	Thematic session on Uncertainty quantification Session chair:
14:40-15:00	Optimal control for lake eutrophication: a dirichlet boundary control problem É. Comte, C. Choquet	Adaptive BI-fidelity Monte Carlo estimation for random elliptic pdes Dustin Mühlhäuser
15:00-15:20	Polytopic approach for stability & control design of Saint-Venant equations Abderrazzak El Ammari, Souad Bezzaoucha, Catherine Choquet	CFD-driven robust optimization of transonic aerodynamic shapes Quentin Bennehard, Marco Carini, Gregory Dergham
15:20-15:40	Optimizing crop irrigation under biological and operational constraints with meteorological uncertainty Ruben Chenevat, Bruno Cheviron, Alain Rapaport, Sébastien Roux	Gaussian processes for uncertainty quantification and fast emulation of chemical kinetics Sarah M. Askevold, Ángel F. García-Fernández, Brianna Heazlewood, Suzie C. Abbs, Simon Maskell
15:40-16:00	A machine learning algorithm for water quality control C. Choquet, T. Pélissié de Montémont	A multiobjective approach to evaluate suitable battery technologies to power hybrid medium-range aircraft Nicolina Montella, Domenico Quagliarella
16:00-16:30	Refreshments

Parallel sessions

	Auditorium 1	Lecture hall A122
16:30-18:00	Mini-symposium on Optimization meets inverse problems Session chair: Tapio Helin	Thematic session on Adjoint-based shape optimization Session chair:
16:35-16:55	Recovery of transversely-isotropic elastic material parameters in induction motor rotors Ville-Petteri Manninen, Hanz Cheng, Tapio Helin, Timo Holopainen, Juha Jokinen, Andreas Rupp, Samu Sorvari	Adjoint based shape optimization for multiphase flows with phase change due to boiling Vishal Garg, Wilfried Edelbauer, Gabor Janiga, Manolis Gavaises
16:55-17:15	Quasi-Monte Carlo integration for Bayesian design of experiment problems governed by PDEs Vesa Kaarnioja, Claudia Schillings	Adjoint-based shape optimization in smoothed particle hydrodynamics Eduardo Di Costanzo, Niklas Kühl, Jean-Christophe Marongiu, Thomas Rung
17:15-17:35	Robust accelerated pget reconstruction for safe disposal of spent nuclear fuel Tommi Heikkilä, Sara Heikkinen, Tapio Helin	CAD-integration for gradient-based shape optimization using the algorithmically differentiated PythonOCC library Mladen Banović, Adam Büchner, Thomas E. Hafemann, Patrick Wegener, Arthur Stück
17:35-17:55	Edge-promoting sequential Bayesian experimental design for X-ray imaging Tapio Helin, Nuutti Hyvönen, Juha-Pekka Puska	Consistent continuous adjoint to a steady isothermal hydrodynamic solver, include cavitation A. Bekhradinasab, EM Papoutsis-Kiachagias, K. C. Giannakoglou

Auditorium 1

Lecture hall A122

16:30-18:00

Mini-symposium on

Optimization meets inverse problems

Session chair: Tapio Helin

Thematic session on

Adjoint-based shape optimization

Session chair:

16:35-16:55

Recovery of transversely-isotropic elastic material parameters in induction motor rotors

Ville-Petteri Manninen, Hanz Cheng, Tapio Helin, Timo Holopainen, Juha Jokinen, Andreas Rupp, Samu Sorvari

Adjoint based shape optimization for multiphase flows with phase change due to boiling

Vishal Garg, Wilfried Edelbauer, Gabor Janiga, Manolis Gavaises

16:55-17:15

Quasi-Monte Carlo integration for Bayesian design of experiment problems governed by PDEs

Vesa Kaarnioja, Claudia Schillings

Adjoint-based shape optimization in smoothed particle hydrodynamics

Eduardo Di Costanzo, Niklas Kühl, Jean-Christophe Marongiu, Thomas Rung

17:15-17:35

Robust accelerated pget reconstruction for safe disposal of spent nuclear fuel

Tommi Heikkilä, Sara Heikkinen, Tapio Helin

CAD-integration for gradient-based shape optimization using the algorithmically differentiated PythonOCC library

Mladen Banović, Adam Büchner, Thomas E. Hafemann, Patrick Wegener, Arthur Stück

17:35-17:55

Edge-promoting sequential Bayesian experimental design for X-ray imaging

Tapio Helin, Nuutti Hyvönen, Juha-Pekka Puska

Consistent continuous adjoint to a steady isothermal hydrodynamic solver, include cavitation

A. Bekhradinasab, EM Papoutsis-Kiachagias, K. C. Giannakoglou

Wednesday, September 17

Plenary presentations,

Auditorium 1


9:00-9.45	Plenary presentation by Rainald Löhner: High-Fidelity Digital Twins: Detecting and Localizing Weaknesses in Structures
9:45-10:30	Plenary presentation by Marko Mäkelä: Nonsmooth Optimization: From Theory to Methods and Applications
10:30-11:00	Coffee break

Parallel sessions

	Auditorium 1	Lecture hall A122
11:00-12:45	Mini-symposium on Advanced methods for topology and shape optimization proposed by Daniela Masarczyk, Georgia Kikis Session chair: Daniela Masarczyk	Thematic session on Artificial intelligence in optimization Session chair:
11:05-11:25	CFD-based re-design of GHIBLI arc-jet nozzle Roberto Carbone, Antonio Schettino, Domenico Quagliarella, Jan O. Pralits	Optimization of injection moulding cooling phases using artificial intelligence techniques T.Marques, A.Gaspar-Cunha, J.B.Melo, A.Pontes
11:25-11:45	Multi-fidelity approach to the design of hypersonic vehicles Roberto Carbone, Domenico Quagliarella, Antonio Schettino, Jan O. Pralits	Towards predictive maintenance in hydrogen storage and transportation using AI and multiobjective decision support Robin van der Laag, Michael Emmerich, Thomas Bäck, Yingjie Fan
11:45-12:05	Checkerboard‐free topology optimization using polygonal finite elements with Voronoi Tessellations G. Kikis, B. Sauren, C. Birk, S. Klinkel	Optimizing conformal cooling channel design in injection molding using Moldex3D and AI techniques J. B. Melo, T. Marques, A. Gaspar-Cunha, A. J. Pontes
12:05-12:25	Topology optimization with reinforced concrete for resource efficient civil engineering design Daniela Masarczyk, Minh T. Tran, Detlef Kuhl	Physics-informed Kolmogorov-Arnold networks for oscillatory differential equations Michael Crocoll
12:25-12:45	Thermodynamic topology optimization of photonics Sebastian Wolf, Dustin R. Jantos, and Philipp Junker	Structural optimization for FCC-EE interaction region support structures Francesco Fransesini, Manuela Boscolo, Pier Paolo Valentini
12:45-14:00	Lunch

Auditorium 1

Lecture hall A122

11:00-12:45

Mini-symposium on

Advanced methods for topology and shape optimization proposed by Daniela Masarczyk, Georgia Kikis

Session chair: Daniela Masarczyk

Thematic session on

Artificial intelligence in optimization

Session chair:

11:05-11:25

CFD-based re-design of GHIBLI arc-jet nozzle

Roberto Carbone, Antonio Schettino, Domenico Quagliarella, Jan O. Pralits

Optimization of injection moulding cooling phases using artificial intelligence techniques

T.Marques, A.Gaspar-Cunha, J.B.Melo, A.Pontes

11:25-11:45

Multi-fidelity approach to the design of hypersonic vehicles

Roberto Carbone, Domenico Quagliarella, Antonio Schettino, Jan O. Pralits

Towards predictive maintenance in hydrogen storage and transportation using AI and multiobjective decision support

Robin van der Laag, Michael Emmerich, Thomas Bäck, Yingjie Fan

11:45-12:05

Checkerboard‐free topology optimization using polygonal finite elements with Voronoi Tessellations

G. Kikis, B. Sauren, C. Birk, S. Klinkel

Optimizing conformal cooling channel design in injection molding using Moldex3D and AI techniques

J. B. Melo, T. Marques, A. Gaspar-Cunha, A. J. Pontes

12:05-12:25

Topology optimization with reinforced concrete for resource efficient civil engineering design

Daniela Masarczyk, Minh T. Tran, Detlef Kuhl

Physics-informed Kolmogorov-Arnold networks for oscillatory differential equations

Michael Crocoll

12:25-12:45

Thermodynamic topology optimization of photonics

Sebastian Wolf, Dustin R. Jantos, and Philipp Junker

Structural optimization for FCC-EE interaction region support structures

Francesco Fransesini, Manuela Boscolo, Pier Paolo Valentini

12:45-14:00

Lunch

Parallel sessions

	Auditorium 1	Lecture hall A122
14:00-15:30	Mini-symposium on Machine learning and data-driven innovations in aerodynamic optimization and uncertainty quantification (II) proposed by Esther Andres Perez, Rodrigo Castellanos, Domenico Quagliarella Session chair: Domenico Quagliarella	Thematic session on Multi-objective optimization (I) Session chair:
14:05-14:25	Neural network optimization for data-efficient generalization in scientific machine learning Damiano Squillace, Domenico Quagliarella, Umberto Iemma	Computational perspectives on multi-objective home healthcare routing and scheduling: formulations and challenges Soumen Atta, Michael Emmerich, Vítor Basto-Fernandes
14:25-14:45	Multi-fidelity airfoil shape optimization with hybrid genetic algorithm I. Robledo, A. Vilariño, A. Miró, O. Lehmkuhl,R. Castellanos, C. Sanmiguel Vila	Discussion on the effect of airflow-coorperation on the aerostructural optimized design of a passactive compliant morphing airfoil Keita Kambayashi
14:45-15:05	Solving distributionally robust optimization problems efficiently via surrogate models Jan Rottmayer, Long Chen, Nicolas R. Gauger	Multi-criteria optimization for building spatial design Ksenia Pereverdieva, André Deutz, Tessa Ezendam, Thomas Bäck, Hèrm Hofmeyer, Michael Emmerich
15:05-15:25	Physics-informed neural network for wing aerodynamics Xin Chen, Guangyuan Huang, Ankit Sharma, Atif Riaz, Sergio Jimeno	Cavitation erosion optimization in a high head Francis turbine using evolutionary algorithms S. Stalikas, E. Kontoleontos, V. Asouti, K. C. Giannakoglou
15:30-16:00	Refreshments

Parallel sessions

	Auditorium 1	Lecture hall A122
16:00-17:30	Thematic session on Surrogate and reduced-order techniques Session chair:	Thematic session on Multi-objective optimization (II) Session chair:
16:05-16:25	Automatic affinity detection for categorical variables in surrogate-based optimization using dimensionality reduction Charlotte Beauthier, Rajan Filomeno Coelho, Sylvério Pool Marquez, Caroline Sainvitu, Annick Sartenaer	Interactive multiobjective optimization in support of climate smart forestry Juho Roponen, Vili Kärkkäinen, Matias Nieminen, Bhupinder Saini, Veera Tahvanainen, Jari Vauhkonen
16:25-16:45	Efficient shape optimization of TPMS heat exchangers via RBF-FD meshless method and reduced order techniques Fausto Dicech, Riccardo Zamolo, Lucia Parussini	Application of nature-inspired optimization techniques for automated finite element model updating of a historical masonry bell tower Shahin Sayyad, Loredana Contrafatto, Simone Scalisi, Davide Li Rosi, Massimo Cuomo
16:45-17:05	Constrained geometric optimization of immersed boundaries for modeling hydraulic diodes L. Groussy, M. Belliard, P. Sagaut, O. Pantz	Using goal attaining multiobjective optimization to obtain target design parameter of non-pneumatic tire Kelvin Lee Han Yong, Wonhyuck Lee
17:05-17:25	Multi‑fidelity optimisation strategy based on hybrid methods Agustí Porta Ko, Sergio González Horcas, Jordi Pons‑Prats, Gabriel Bugeda	Techno-economic modeling of hourly wind-based hydrogen production with electrolyzer optimization Matti Kurki

Auditorium 1

Lecture hall A122

16:00-17:30

Thematic session on

Surrogate and reduced-order techniques

Session chair:

Thematic session on

Multi-objective optimization (II)

Session chair:

16:05-16:25

Automatic affinity detection for categorical variables in surrogate-based optimization using dimensionality reduction

Charlotte Beauthier, Rajan Filomeno Coelho, Sylvério Pool Marquez, Caroline Sainvitu, Annick Sartenaer

Interactive multiobjective optimization in support of climate smart forestry

Juho Roponen, Vili Kärkkäinen, Matias Nieminen, Bhupinder Saini, Veera Tahvanainen, Jari Vauhkonen

16:25-16:45

Efficient shape optimization of TPMS heat exchangers via RBF-FD meshless method and reduced order techniques

Fausto Dicech, Riccardo Zamolo, Lucia Parussini

Application of nature-inspired optimization techniques for automated finite element model updating of a historical masonry bell tower

Shahin Sayyad, Loredana Contrafatto, Simone Scalisi, Davide Li Rosi, Massimo Cuomo

16:45-17:05

Constrained geometric optimization of immersed boundaries for modeling hydraulic diodes

L. Groussy, M. Belliard, P. Sagaut, O. Pantz

Using goal attaining multiobjective optimization to
obtain target design parameter of non-pneumatic tire

Kelvin Lee Han Yong, Wonhyuck Lee

17:05-17:25

Multi‑fidelity optimisation strategy based on hybrid methods

Agustí Porta Ko, Sergio González Horcas, Jordi Pons‑Prats, Gabriel Bugeda

Techno-economic modeling of hourly wind-based hydrogen production with electrolyzer optimization

Matti Kurki

Thursday, September 18

Parallel sessions

	Auditorium 1	Lecture hall A122
9:00-10:30	Mini-symposium on Partial differential equations-governed models and optimization in engineering applications (I) proposed by Rabia Altunay, Jarkko Suuronen Session chair: Rabia Altunay	Thematic session on Bayesian optimization Session chair:
9:05-9:25	Computational methods for design optimization Eero Immonen	Toward system-level co-design: a multi-level surrogate framework for power converter component optimization Shuai Guo, Qian Li
9:25-9:45	Identifying hidden parameters in cellular automata with neural networks Valery N. Ashu, Zhisong Liu, Andreas Rupp, Heikki Haario	Parametric optimization of rigid baffles on liquidfilled tanks subjected to sloshing using XFEM and Bayesian optimization Luc Laurent, Antoine Legay, Christophe Hoareau
9:45-10:05	Topology optimization of personalized drugs Rabia Altunay	Operator-theoretic and quantum-inspired frameworks for data-driven modeling of nonlinear dynamical systems Joanna Slawinska, Dimitris Giannakis
10:05-10:25	Mathematical modeling of drug dissolution Jarkko Suuronen	Correcting bias in dynamical models Miracle Amadi, Lassi Roininen
10:30-11:00	Coffee Break

Parallel sessions

	Auditorium 1	Lecture hall A122
11:00-12:10	Mini-symposium on Clear session: control design for environmental advancement and research (II) proposed by S. Bezzaoucha, C. Choquet, É. Comte Session chairs: C. Choquet, S. Bezzaoucha	Mini-symposium on Partial differential equations-governed models and optimization in engineering applications (II) proposed by Rabia Altunay, Jarkko Suuronen Session chair: Jarkko Suuronen
11:05-11:25	How to survive severe disruptions in energy systems Ghazaleh Saboori, Soumen Atta, Giovanni Misitano, Babooshka Shavazipour	Topology optimization of viscoelastic composites using complex-valued homogenization Hiroaki Deguchi, Kei Matsushima, Takayuki Yamada
11:25-11:45	Multi-stage multi-scenario multi-objective optimization for adaptive robust energy transition under deep uncertainty Babooshka Shavazipour	Benchmarking distributed optimization formulations with a multidisciplinary feasible approach for aero-structural aircraft design Fabian Volle, Eric Schaar, Yann David
11:45-12:05	Multi-objective linear programming for environmental and energy costs in renewable energy site selection with spatial interaction Michael Emmerich, Jonas Schwaab	Towards aero-structural optimization using the new cfd software by ONERA, DLR, AIRBUS (CODA) Markus Widhalm, Fabian Volle, Adam Büchner, Franziska Kasielke

Auditorium 1

Lecture hall A122

11:00-12:10

Mini-symposium on

Clear session: control design for environmental advancement and research (II)

proposed by S. Bezzaoucha, C. Choquet, É. Comte

Session chairs: C. Choquet, S. Bezzaoucha

Mini-symposium on

Partial differential equations-governed models and optimization in engineering applications (II)

proposed by Rabia Altunay, Jarkko Suuronen

Session chair: Jarkko Suuronen

11:05-11:25

How to survive severe disruptions in energy systems

Ghazaleh Saboori, Soumen Atta, Giovanni Misitano, Babooshka Shavazipour

Topology optimization of viscoelastic composites using complex-valued homogenization

Hiroaki Deguchi, Kei Matsushima, Takayuki Yamada

11:25-11:45

Multi-stage multi-scenario multi-objective optimization for adaptive robust energy transition under deep uncertainty

Babooshka Shavazipour

Benchmarking distributed optimization formulations with a multidisciplinary feasible approach for aero-structural aircraft design

Fabian Volle, Eric Schaar, Yann David

11:45-12:05

Multi-objective linear programming for environmental and energy costs in renewable energy site selection with spatial interaction

Michael Emmerich, Jonas Schwaab

Towards aero-structural optimization using the new cfd software by ONERA, DLR, AIRBUS (CODA)

Markus Widhalm, Fabian Volle, Adam Büchner, Franziska Kasielke

Plenary presentation and closing of the conference,

Auditorium 1


12:15-13:00	Plenary presentation by W. J. Vankan: Design and Optimization of HAR Composite Wings for SMR Aircraft – Multi-Disciplinary Analyses, Sizing, and Wind-Tunnel Experiments
13:00-13:15	Closing of the conference
13:15-14:00	Lunch
14:15	Bus transportation to Helsinki airport

Social program

September 15, Bus Tour in Lahti City and Get together Reception at Lahti City Hall
September 16, Appreciation Dinner (by invitation) for plenary speakers and MS and STS organizers and keynote speakers
September 17, Congress Banquet

Plenary speakers

Dr. Cornelia Grabe

Prof. David Greiner

Prof. Rainald Löhner

Prof. Marko Mäkelä

Dr. W. J. Vankan

Dr. Cornelia Grabe, German Aerospace Center DLR, Germany

Tentative Title of Plenary Speech: The Potential of Data-Driven Turbulence Modeling for Industrially-Relevant Aerodynamic Applications

Prof. David Greiner, University of Las Palmas de Gran Canaria, Spain

Tentative Title of Plenary Speech: Hybridizing Surrogate Modeling and Evolutionary Algorithms for Optimum Engineering Design Problems in Computational Engineering

Prof. Rainald Löhner, George Mason University, USA

Title of Plenary Speech: High-Fidelity Digital Twins: Detecting and Localizing Weaknesses in Structures

Prof. Marko Mäkelä, University of Turku, Finland

Tentative Title of Plenary Speech: Nonsmooth Optimization: From Theory to Methods and Applications

Dr. W. J. Vankan, Netherlands Aerospace Centre, Netherlands

Tentative Title of Plenary Speech: Design and Optimization of HAR Composite Wings for SMR Aircraft – Multi-Disciplinary Analyses, Sizing, and Wind-Tunnel Experiments

Program at a glance

Full program READY NOW

Full Conference Program (pdf)

Monday, September 15

Tuesday, September 16

Wednesday, September 17

Thursday, September 18

Social program