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資料科學學位學程
Data Science Degree Program

中研院數學所- International Summer School 2025: Nonstationary time series analysis for biomedical artificial intelligence

2025-01-12

Advances in technology have led to increasingly complex and versatile nonstationary time series datasets, particularly in the realm of medical innovation. As artificial intelligence (AI) continues to spark discussions about its potential impact on the workforce, it remains critical to grasp how AI is developed, operated, and interpreted from a scientific perspective.

This 3-week summer program is dedicated to the "science" behind "data science" for biomedical research, ranging from basic science to clinical medicine. The program focuses on cutting-edge techniques for nonstationary time series analysis, including time-frequency analysis, unsupervised learning for highdimensional data, and advanced statistical tools. Emphasizing hands-on experience, the curriculum equips participants to tackle real-world biomedical challenges.

The summer school fosters a vibrant environment where leading researchers in signal processing, nonstationary time series analysis, manifold learning, and related fields share their insights on foundational and emerging methodologies. Designed for PhD students and researchers across various disciplines, it offers a unique opportunity to engage with experts and network with peers, all while honing skills in quantitative data science.

Sponsored by Academia Sinica, the program will be held in Taipei, Taiwan, from June 25 to July 16, 2025. 

LIST OF INSTRUCTORS

The speakers represent both academia and clinical practice, from Taiwan, the United States and Europe, and cover a broad range of research areas, including signal processing, time series analysis to manifold learning.

  • Gilad Lerman, Minnesota University, Mathematics
  • Yi-Wen Liu, National Tsing-Hua University, Electrical Engineering
  • Danilo Pani, University of Cagliari, Biomedical Engineering
  • Stefan Steinerberger, University of Washington, Mathematics
  • Ronen Talmon, Technion, Electrical Engineering
  • Hau-Tieng Wu, New York University, Mathematics
  • Zhou Zhou, University of Toronto, Statistics
Physicians:
  • Kun-Ta Chou, Taipei Veterans General Hospital, Chest Medicine
  • Yu-Ting Lin , Taipei Veterans General Hospital, Anesthesiology
  • Wei-Chung Tsai, Kaohsiung Medical University, Cardiology
  • Shen-Chih Wang, Taipei Veterans General Hospital, Anesthesiology

*The list may change slightly, please refer to the website for the latest information.

TARGETING STUDENTS

Advanced senior & PhD level students from disciplines that have interest in quantitative analysis tools. Students from applied mathematics, statistics, EE, computer science, basic science, and medicine with proper background and basic coding knowledge are all welcome. 

DEADLINES

Application deadline: Mar. 9, 2025
Notification of acceptance: Mar. 31, 2025
Registration deadline for accepted participants: Apr. 15, 2025
Basic online training: Apr. 15-May 15, 2025
Application website: via MATHJOBShttps://www.mathjobs.org/jobs/list/26133

MORE INFORMATION

Email: hautiengw@gmail.com

CONTACT

For administrative supports, please contact

Email: conference@gmail.math.sinica.edu.tw

*Notice: Please include [Summer School 2025] in the subject line of your email, thank you!

Please visit the website for the latest information:

https://www.math.sinica.edu.tw/intl-summerschool