27. Januar 2025 12:00 Uhr / Studierende
FIGSS Seminar: Unveiling Epidemic Spread Dynamics with Physics-Informed Deep Learning
Interdisziplinäres Seminar für Promovierende und Studierende am FIAS
Veranstaltungsort: FIAS Faculty Club
Das interdisziplinäre FIGSS Seminar findet während des Semesters jeden zweiten Montag von 12:00-13:00 statt. Die Promovierenden der Graduiertenschule erhalten hier die Möglichkeit, ihre Forschungsergebnisse vorzustellen und zu diskutieren. Von Zeit zu Zeit werden auch externe Sprecher eingeladen.
Programm am 27.01.2025
Sprecher: Shuai Han; Zhou Gruppe
Abstract:
Studying the dynamics of epidemic spread is crucial for disease control and public health decision-making.
Traditional epidemiological models rely on predefined parameters, making it challenging to accurately capture the spatiotemporal variations of an outbreak.
Meanwhile, deep learning approaches, while powerful in data-driven pattern recognition, often lack interpretability and fail to reflect the underlying transmission mechanisms.
Integrating physics-based principles with deep learning addresses these limitations, enabling models to learn complex propagation patterns while preserving interpretability.
Our research focuses on bridging epidemiological modeling and deep learning to explore the intricate dynamics of epidemic spread, gradually unveiling the hidden mechanisms behind epidemic propagation.
By combining epidemiological insights with data-driven modeling, physics-informed deep learning effectively captures spatiotemporal transmission characteristics, enhances forecasting accuracy, and provides valuable guidance for epidemic control and intervention strategies.