Full Technical ProgrammeSubject to changes. This version is updated according to the last-minute information. |
| Monday, June 7 |
12:00 - 13:00 Plenary Lecture I | MoN01P Room: Room1 Chair: Trond Kvamsdal |
Simulation-as-a-Service in the Loop -- Enhancing Rapid Prototyping of Complex Industrial Machines with Automatic Data Synthesis based on Numerical Simulation of Fluid Flow and Machine Learning Markus Geveler, Stefan Turek and Tobias Herken Abstract |
| MS06 - Reduced Order Modelling Invited Session organized by Trond Kvamsdal | MoA02I Room: Room1 Chair: Trond Kvamsdal |
Machine learning powered nonlinear manifold reduced order model Y. Kim, Y. Choi, D. Widemann and T. Zohdi Abstract |
Machine learning for nonlinear model order reduction. T. Daniel, F. Casenave, N. Akkari and D. Ryckelynck Abstract |
From linear mappings to deep learning for model order reduction of numerical simulations of industrial interest R. Bravo, C. Roig, R. Rossi and J Hernandez Abstract |
Data-driven reduced order modeling for CFD stochastic time-dependent problems A. Abdedou and A. Soulaïmani Abstract |
A hybrid POD-Galerkin approach for turbulent flow problems V. Tsiolakis, T. Kvamsdal, A. Rasheed, E. Fonn and H. Van Brummelen |
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| MS02 - Recent trends in the development of machine learning models on Finnish health data Invited Session organized by Sami Äyrämö | MoA04I Room: Room1 Chair: Sami Äyrämö |
New edge detection method for automated feature extraction from knee X-ray images Esko Niinimäki, Juha Paloneva, Ilkka Pölönen, Olli Lainiala and Sami Äyrämö Abstract |
Unsupervised analysis of staining quality in histopathological images Fabi Prezja, Teijo Kuopio and Sami Äyrämö Abstract |
Clustering association rules with an application to physical activity Visa Nykänen, Tommi Vasankari, Sami Kokko, Riikka Paloniemi, Petri Tapio, Anu Tuominen, Birgitta Järvinen and Sami Äyrämö Abstract |
| Tuesday, June 8 |
12:00 - 13:00 Plenary Lecture II | TuN01P Room: Room1 Chair: Adil Rasheed |
Scalable scientific machine learning for computational fluid dynamics R. Maulik |
| MS04 - Mathematics of AI Invited Session organized by Mats G. Larson | TuA02I Room: Room1 Chair: Mats G. Larson |
Smaller generalization error derived for a deep residual neural network compared to shallow networks Aku Kammonen, Jonas Kiessling, Petr Plechac, Mattias Sandberg, Anders Szepessy and Raul Tempone Abstract |
Time integration for optimization problems arising in supervised learning Tony Stillfjord, Monika Eisenmann and Måns Williamson Abstract |
ADAPTIVE RANDOM FOURIER FEATURES BASED ON METROPOLIS SAMPLING A. Kammonen, J. Kiessling, P. Plecháč, M. Sandberg, A. Szepessy and R. Tempone Abstract |
Uncertainty analysis of mathematical models and deep neural networks Vilho Halonen, Ilkka Pölönen and Sergey Repin Abstract |
MATHEMATICAL ASPECTS ON MACHINE LEARNING PROCESS FOR A 3D MORPHOLOGICAL ANALYSIS FROM SECTIONAL IMAGES SEQUENCES J. A. Rodrigues Abstract |
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| MS05 - Hybrid Analysis and Modelling Invited Session organized by Adil Rasheed | TuA04I Room: Room1 Chair: Adil Rasheed |
BASIC MACHINE LEARNING APPROACHES FOR THE ACCELERATION OF PDE SIMULATIONS H. Ruelmann and S. Turek Abstract |
A nudged hybrid analysis and modeling approach toward airport digital twinning for real-time wake vortex prediction S. Ahmed, S. Pawar, O. San, A. Rasheed and M. Tabib Abstract |
Creating Recommender Systems for Industrial Engineering Problems Using a Mixed Categorical-Continuous Data-Driven Method R Carreira Rufatoa, Y Diouaneb, J Henry, R Ahlfeld and J Morlier Abstract |
| Wednesday, June 9 |
12:00 - 13:00 Plenary Lecture III | WeN01P Room: Room1 Chair: Pekka Neittaanmäki |
Reliable verification of approximate solutions to PDE‘s generated by Deep Neural Networks S. Repin |
| CT02 - Applications to societal issues | WeA02O Room: Room1 Chair: Jacques PERIAUX |
Research on three-dimensional cavity topology identification in concrete structures based on machine learning using hammering response data. Masaya Shimada, Takahiko Kurahashi, Yuki Murakami, Fujio Ikeda and Ikuo Ihara Abstract |
A DEEP LEARNING APPROACH TO METRIC-BASED DAMAGE LOCALIZATION IN STRUCTURAL HEALTH MONITORING Matteo Torzoni, Andrea Manzoni and Stefano Mariani Abstract |
An efficient Artificial Neural Network based non-linear flow law: towards the implementation into a radial return integration scheme O. Pantalé, P. Tize Mha and A. Tongne Abstract |
MULTI-FIDELITY DIMENSION-ADAPTIVE POLYNOMIAL CHAOS EXPANSION FOR PLASMA MICRO-INSTABILITY ANALYSIS K Ravi, T Neckel and H Bungartz Abstract |
Neural Networks and Adaptive Models for Traffic Control A. Nae and I. Dumitrache Abstract |
Data pre-processing effect on classification accuracy of convolutional neural networks for train type identification. Rostislav Krč, Jan Podroužek, Ivan Vukušič and Otto Plášek Abstract |
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| CT07 - Innovations in AI and Computational Sciences, Industrial application cases (e.g. transport, medicine, finance, police investigation...) | WeA04O Room: Room1 Chair: Tero Tuovinen |
MACHINE LEARNING TO PREDICT THE OCCURENCE OF GALLING IN OCTG CONNECTIONS USING INFRARED IMAGES Erin Kuci, Alberto Benitez, Xavier Mencaglia and Arnaud François Abstract |
AI BASED SHOCK-WAVE DETECTION BY USING A PRESSURE SENSOR ARRAY E Resta, M Ferlauto and R Marsilio Abstract |
Comparison of Machine Learning methods for detection and recognition of industrial objects and text labels Piotr Hajder and Łukasz Rauch Abstract |
Method for Radiance Approximation of Hyperspectral Data Using Deep Neural Network S. Rahkonen and I. Pölönen Abstract |
Enhancing Data Integrity, Confidentiality and Authenticity with Digital Envelopes and Federated Learning Mario Dib, Pedro Prates and Bernardete Ribeiro Abstract |
PROPOSAL OF OPTIMALITY CRITERIA METHOD CONSIDERING THE NEWTON’S METHOD IN TOPOLOGY OPTIMIZATION PROBLEMS BASED ON THE DENSITY METHOD M. Kishida and T. Kurahashi Abstract |
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