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DTSTART;TZID=Europe/Berlin:20260216T123000
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SUMMARY:FAU MoD Lecture: Hybrid Modeling and System Identification: Past and Future Directions
DESCRIPTION:Date: Mon. February 16, 2026\nEvent: FAU MoD Lecture\nOrganized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)\nFAU MoD Lecture: Hybrid Modeling and System Identification: Past and Future Directions\nSpeaker: Prof. Dr. Helon Hultmann Ayala\nAffiliation: PUCPR, Pontifical Catholic University of Paraná (Brazil)\nAbstract.  This talk surveys our recent work in hybrid system identification, where physical structure is combined with black-box components to improve predictive performance. We showcase experimental case studies spanning flexible-joint manipulators, drill strings, and rotating elements subject to nonlinear friction. Across these distinct setups, we show that the most effective hybrid architecture varies substantially, underscoring the need for systematic experimentation and problem-specific model evaluation. We conclude by introducing a new dataset for hybrid identification that fuses vision with proprioceptive sensing, presenting preliminary results and discussing its implications for future work in multimodal model learning.\nOUR SPEAKER\nHelon Vicente Hultmann Ayala is a Professor and Research Scientist with 15+ years of experience spanning academia and industry. He is an Associate Professor (Professor Adjunto) at the Pontifical Catholic University of Paraná (PUCPR), Brazil, and a Research Productivity Fellow of Brazil’s National Council for Scientific and Technological Development (CNPq). His applied research background includes positions at IBM Research (Natural Resources Analytics), Embraer (simulation and control of pneumatic/hydraulic systems), and ZF Friedrichshafen in Germany (modeling and control of limited-slip differentials), and he previously served as a Professor at PUC-Rio. He is currently a visiting researcher at FAU DCN-AvH at Friedrich-Alexander-Universität Erlangen-Nürnberg under an ERC/CNPq agreement, focusing on hybrid system identification, machine learning, and model predictive control.\n\nSee poster\nAUDIENCE\nThis is a hybrid event (On-site/online) open to: Public, Students, Postdocs, Professors, Faculty, Alumni and the scientific community all around the world.\nWHEN\nMon. February 16, 2026 at 12:30H (Berlin time)\nWHERE\nOn-site / Online\n[On-site] Friedrich-Alexander-Universität Erlangen-Nürnberg.\nRoom H13. Johann-Radon-Hörsaal\nCauerstraße 11, 91058 Erlangen\nGPS-Koord. Raum: 49.573764N, 11.030028E\n[Online]\nhttps://www.fau.tv/clip/id/59621\n \nShortlink to share this event: https://go.fau.de/1dhbh\nThis event @LinkedIn\n \nYou might like:\n• FAU MoD Lectures\n• Upcoming events\n• FAU MoD Courses & Workshops\n• MLPDES26, Machine Learning and PDEs Workshop (2026)\n• FAU MoD Lecture: Data Driven Modeling for Scientific Discovery and Digital Twins by Prof. Dr. Dongbin Xiu\n• FAU MoD Lecture: A long life: How desirable is it, evolutionarily speaking? by Prof. Dr. Hanna Kokko\n• FAU MoD Lecture: Bridging numerics and scientific machine learning for industrial applications by Dr. Christopher Straub\n• FAU MoD Workshop: FAU MoD Workshop (Dec. 2025) by Prof. Giovanni Fantuzzi | Prof. Denisa Martonova\n• FAU MoD Lecture: Quantum firmware: optimal control for quantum processors by Prof. Dr. Tommaso Calarco\n• FAU MoD Lecture: AI Components in PDE Solvers by Prof. Dr. Nils Thürey\n• FAU MoD Lecture: Disruption in science and engineering happens at scale by Prof. Dr. Johannes Brandstetter\n• FAU MoD Workshop: FAU MoD Workshop (Sep. 2025) by Prof. Lorenzo Liverani | Prof. Hagen Holthusen\n• FAU MoD Lecture: Exemplary applications of machine learning and optimization in quantum chemistry by Prof. Dr. Andreas Görling\n• FAU MoD Lecture & workshop: AI for maths and maths for AI by Dr. François Charton\n• FAU MoD Lecture: Optimization-based control for large-scale and complex systems: When and why does it work? by Prof. Dr. Lars Grüne\n• FAU MoD Lecture: Mathematics of neural stem cells: Linking data and processes by Prof. Dr. Ana Martin-Villalba\n• FAU MoD Lecture: FAU MoD Lecture S. Jin / N. Liu (double session) by Prof. Dr. Shi Jin and Prof. Dr. Nana Liu\n• FAU MoD Lecture: Do you think you understand sex and death? Why predictions about biological processes require more than just intuition by Prof. Dr. Hanna Kokko\n• FAU MoD Lecture: FAU MoD Lecture. Special December 2024 by Prof. Dr. Holger Rauhut and Prof. Dr. Christian Bär\n• FAU MoD Lecture: Measuring productivity and fixedness in lexico-syntactic constructions by Prof. Dr. Stephanie Evert\n• FAU MoD Lecture: New avenues for the interaction of computational mechanics and machine learning by Prof. Dr. Paolo Zunino\n• FAU MoD Lecture: Discovering and Communicating Excellence by Prof. Dr. Ute Klammer\n• FAU MoD Lecture: Thoughts on Machine Learning by Prof. Dr. Rupert Klein\n• FAU MoD Lecture: Using system knowledge for improved sample efficiency in data-driven modeling and control of complex technical systems by Prof. Dr. Sebastian Peitz\n• FAU MoD Lecture: Image Reconstruction – The Dialectic of Modelling and Learning by Prof. Dr. Martin Burger\n• FAU MoD Lecture: The role of Artificial Intelligence in the future of mathematics by Prof. Dr. Amaury Hayat\n• FAU MoD Lecture: FAU MoD Lecture. Special November 2023 by Prof. Dr. Michael Kohlhase and Prof. Dr. Edriss S. Titi\n• FAU MoD Lecture: Free boundary regularity for the obstacle problem by Prof. Dr. Alessio Figalli\n• FAU MoD Lecture: Physics-Based and Data-Driven-Based Algorithms for the Simulation of the Heart Function  by Prof. Dr. Alfio Quarteroni\n• FAU MoD Lecture: From Physics-Informed Machine Learning to Physics-Informed Machine Intelligence: Quo Vadimus?  by Prof. Dr. George Karniadakis\n• FAU MoD Lecture: From Alan Turing to contact geometry: Towards a “Fluid computer” by Prof. Dr. Eva Miranda\n• FAU MoD Lecture:  Applications of AAA Rational Approximation by Prof. Dr. Nick Trefethen\n• FAU MoD Lecture:  Learning-Based Optimization and PDE Control in User-Assignable Finite Time by Prof. Dr. Miroslav Krstic\n  \n_\nDon’t miss out our last news and connect with us!\nLinkedIn | Bluesky | Instagram | YouTube | X (Twitter)\n
URL:https://mod.fau.eu/events/fau-mod-lecture-hybrid-modeling-and-system-identification-past-and-future-directions/
ORGANIZER;CN=FAU MoD:MAILTO:
CATEGORIES:FAU MoD lecture,Seminar/Talk
LOCATION:FAU On-site / Online
ATTACH;FMTTYPE=image/png:https://mod.fau.eu/wp-content/uploads/FAUMoDLecture_hHultmannAyala_16feb2026.png
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