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DTSTART;TZID=Europe/Rome:20260211T120000
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UID:31683-1770811200-1770813000@www.dica.polimi.it
SUMMARY:City-scale mapping of urban tree species and structure through multispectral and tristereoscopic satellite data integration
DESCRIPTION:The next appointment in the PhDTalks seminar series will take place on Wednesday\, February 11th\, 2026\, in Grandori Room (Building 4)\, from 12:00 to 13:00 CET. \nPhDTalks is a series of seminars and discussions among PhD candidates. The events aim to provide a space for networking among doctoral students and for engaging with the many projects developed within our department. \nThe speaker Chiara Bottaro will deliver a seminar entitled “City-scale mapping of urban tree species and structure through multispectral and tristereoscopic satellite data integration” \nAt the end of the event\, a light refreshment will be offered\, sponsored by the department. \nThe seminar will also be accessible online at the following link. \nAbstract\nThis study presents a multi-source remote sensing approach for mapping individual urban trees across the city of Milan\, integrating spectral and structural data to support urban ecosystem assessment. Tree species are classified using supervised methods applied to WorldView-2 imagery\, with municipal tree inventory data for training and validation. Structural attributes\, including tree height and crown size\, are derived from a canopy height model generated from Beijing-3 tristereoscopic images and LiDAR-based terrain data. The workflow addresses challenges related to data volume and spatial misalignment\, producing high-resolution\, GIS-compatible maps for urban planning and environmental monitoring. \nSpeaker’s Bio\nChiara is a PhD candidate at the Politecnico di Milano\, Department of Environmental and Infrastructure Engineering\, Section of Geodesy. She obtained a double master’s degree with honors in Agricultural Sciences from the University of Milan and the Tokyo University of Agriculture and Technology. Her research\, funded by the National Biodiversity Future Center (NBFC)\, focuses on mapping and monitoring urban vegetation biodiversity using remote sensing techniques. Her expertise includes multi-sensor digital photogrammetry\, satellite image processing\, and the use of photogrammetric techniques for digital elevation model reconstruction from tristereoscopic satellite imagery.\nPassionate about plants\, forests and wild Floras she spends her free time up in the mountains or in beautiful gardens.
URL:https://www.dica.polimi.it/it/evento/city-scale-mapping-of-urban-tree-species-and-structure-through-multispectral-and-tristereoscopic-satellite-data-integration/
CATEGORIES:PHD Life,Seminari e conferenze
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DTSTART;TZID=Europe/Rome:20260211T123000
DTEND;TZID=Europe/Rome:20260211T130000
DTSTAMP:20260419T064932
CREATED:20260212T091401Z
LAST-MODIFIED:20260212T091401Z
UID:31684-1770813000-1770814800@www.dica.polimi.it
SUMMARY:Learning governing equations of weakly nonlinear oscillators by machine learning
DESCRIPTION:The next appointment in the PhDTalks seminar series will take place on Wednesday\, January 11th\, 2026\, in Grandori Room (Building 4)\, from 12:00 to 13:00 CET. \nPhDTalks is a series of seminars and discussions among PhD candidates. The events aim to provide a space for networking among doctoral students and for engaging with the many projects developed within our department. \nThe speaker Teng Ma will deliver a seminar entitled “Learning governing equations of weakly nonlinear oscillators by machine learning” \nAt the end of the event\, a light refreshment will be offered\, sponsored by the department. \nThe seminar will also be accessible online at the following link. \nAbstract\nWeakly nonlinear oscillators are fundamental to a wide range of physical systems. While linear models are often used for simplicity\, the long-term stability and evolution of these systems are frequently governed by subtle nonlinearities. In structural engineering and beyond\, characterizing these weakly nonlinear signatures from data remains a significant challenge due to their small magnitude compared to the dominant linear response.\nWe introduce EvLOWN\, a data-driven methodology designed to autonomously discover the governing equations of weakly nonlinear oscillators from sparse and noisy observations. After validating its robustness on benchmark systems\, we demonstrate EvLOWN’s versatility through diverse high-impact applications: from reconstructing the orbital dynamics of the Tiangong and International Space Stations to capturing the precise equations of motion for complex vortex-induced vibrations (VIV) from wind-tunnel experimental data. \nSpeaker’s Bio\nTeng is currently a double PhD candidate in Civil Engineering at Tongji University and Structural Seismic and Geotechnical Engineering at Politecnico di Milano. His research focuses on AI for Engineering Systems\, with a specialization in data-driven dynamical system identification. He conceptualized and developed an interpretable scientific machine learning framework for governing-law discovery\, with successful applications in fluid-structure interaction (FSI) and MEMS devices. Related researches are published on Structure and Infrastructure Engineering\, Physics of Fluids\, Journal of Wind Engineering and Industrial Aerodynamics etc.\nIn his spare time\, Teng enjoys singing\, boxing\, running and hiking in the mountains.
URL:https://www.dica.polimi.it/it/evento/learning-governing-equations-of-weakly-nonlinear-oscillators-by-machine-learning/
CATEGORIES:PHD Life,Seminari e conferenze
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