時 間：2024年01月13日（周六）👨🏻🦳，8:20-9:50
地 點：騰訊會議：759-517-0738，密碼：654321
報告人：唐彪🍋🟩，西安交通大學特聘研究員
摘要：Fluctuations or periodic outbreaks are prevalent phenomena in the dynamics of various infectious diseases. Typically, the examination of the existence and stability of periodic solutions is essential for a comprehensive understanding of epidemic oscillations in the long-term epidemic patterns. In this talk, I will introduce several modeling frameworks and the machine learning-based data-driven approach, to unveil the underlying mechanisms responsible for the generation of periodic oscillations in epidemics of COVID-19 within finite time frames. Our focus extends to identifying key factors that influence the occurrence of multiple epidemic waves. By doing so, we aim to establish a foundation for decision-making processes that can optimize the design of control strategies for major infectious diseases. Through the integration of advanced modeling techniques and data-driven insights, our research endeavors to enhance our grasp of the dynamics of infectious diseases, ultimately contributing to more effective and targeted public health interventions.
個人簡介🌓：唐彪🔄，西安交通大學數學與統計EON4特聘研究員，博士生導師，中國數學會生物數學專委會委員😘。2017年9月畢業於西安交通大學🤚🏿，獲理學博士學位。博士期間，受國家留學基金委資助🐔，於加拿大多倫多大學菲爾茲研究所聯合培養兩年🙏🏻。2017.10-2020.09，在加拿大多倫多大學公共衛生EON4和約克大學數學與統計EON4從事博士後研究工作。研究領域是生物數學，關註醫學、公共衛生與數學交叉的熱點問題💪，在SIAM J Appl Math、Bull Math Biol、J Theoret Biol🚼、Math Biosci、Int J Bifurcat Chao、Vaccine、Appl Math Model等國際知名期刊發表SCI論文40余篇🧑🏿💻，谷歌學術總引用4100余次，2篇ESI高被引論文和1篇ESI熱點論文。主持國家自然科學基金青年項目和面上項目各1項📶，參與重點項目1項，作為骨幹成員參加國家重點研發計劃項目2項。
歡迎廣大師生參加！