*Students interested in obtaining the 5 ECTS credits are required to agree with the Summer School coordinator on a Project Work topic, and then submit their written report no later than 30 June 2025 (PDF submission by email).

 

 

 

 

Course description

The IEEE-EMBS International Summer School on Advanced Data Analytics in Physiology is organized by the IEEE EMBS Technical Community on Biomedical Signal Processing and the IEEE EMBS Technical Community on Cardiopulmonary Systems and Physiology- based Engineering. This unique program offers a comprehensive curriculum that covers both fundamental and advanced topics in physiological data analytics, including:

  • Advanced Signal Processing: Techniques and methods for analyzing complex biomedical signals.

  • Cardiopulmonary System Modeling: Understanding and simulating the dynamics of the cardiopulmonary system.

  • Cardiovascular Signal Processing: Analysis and interpretation of cardiovascular mathematics for clinical and research applications.

  • Neural Data Analysis: Exploring data-driven approaches to understand neural signals and brain activity.

  • Brain-Heart Axis Modeling: Investigating the interactions between neural and cardiovascular systems.

  • Physiology-based Statistical Inference: Applying statistical methods to physiological data for robust conclusions.

  • Multiscale and Complex System Network Modeling: Analyzing physiological systems across different scales and understanding their interconnections.

 

Aim

The aim of the IEEE-EMBS International Summer School on Advanced Data Analytics in Physiology is to provide participants with a deep understanding of advanced data analytics techniques applied to physiological systems.

The program is designed to bridge the gap between theoretical knowledge and practical application, empowering attendees to tackle complex challenges in biomedical signal processing, physiological modeling, and data-driven healthcare solutions. 

By bringing together leading experts, the school aims to foster interdisciplinary collaboration, inspire innovative research, and equip participants with cutting-edge skills essential for advancing the field of biomedical data analytics.

 

Registration fee

Registration fee is 750,00 € to be paid to the University of Pisa  and includes:

  • Tuition fee
  • Coffee breaks and lunches for the entire duration of the school
  • Entire programme, including all lectures, keynote talks, and working sessions
  • Gadgets and other relevant teaching material
  • Welcome and social events

23 scholarships are available for PhD students:

  • 9 full scholarship: free tuition + free accomodation (sponsored by IEEE and University of Pisa)
  • 14 fellowships: free accommodation (sponsored by University of Pisa)

 

How to apply

Scholarship application (for PhD students only)

Admission requirements: a motivation letter, a short biosketch, a full scientific CV et studiorum, and a supervisor's recommendation letter should be provided.

Application Deadline for scholarships: November 15, 2024.

Priority will be given to: IEEE EMBS Student Members, minority country students, scientific CV (adherence to research and school topic).

 

Standard application 

Admission requirements: a motivation letter and a short biosketch should be provided.

 

School Application Deadline: February 28, 2025.

 

Refund policy

In case of cancellation, a tuition fee refund is allowed until the application deadline (28 February 2025) and will correspond to 80%.

 

Organizing Committee/Contacts

Gaetano Valenza (University of Pisa) Scientific Coordinator

Riccardo Barbieri (Politecnico of Milano) Scientific Coordinator

Simona Moschini (University of Pisa) Administration office

 

See Confirmed Speakers

 

SUPPORTS

The Summer School is organized and supported by the IEEE- EMB Enginnering in Medicine and Biology Society, the University of Pisa and the Politecnico of Milano.