Advanced Data Analytics in Physiology Language: English Period: 14 – 19 June 2027 Deadline: 16 April 2027 Program Intensity: Full-time ECTS: 6 Tuition fees: 750€ The 2nd 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. The Summer School is designed for graduate and PhD students, as well as post-doc researchers and professionals seeking to enhance their expertise in biomedical data analytics and physiological modeling, offering a blend of theoretical insights and practical applications. 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 19 July 2027 (pdf submission by email to gaetano.valenza@unipi.it). The Summer School will be held on campus, in Pisa, at (1) Centro congressi Le Benedettine, Piazza San Paolo a Ripa D’Arno, 16, and (2) Officine Garibaldi, Via Vincenzo Gioberti, 39. Aim The aim of the 2nd 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. Who can apply Undergraduate and PhD Students, post-doc researchers, data analytics professionals. Application Admission Requirements A motivation letter and a short biosketch are required for general applications. IMPORTANT NOTICE: The Summer School will be activated with at least 25 students The maximum number of participants is set to 100 students Required Documents Identity Document (*PASSPORT in case you are a foreign student*) Enrolment Form Curriculum Vitae Motivational letter Short biosketch Letter signed by the PhD Program Supervisor or PhD Tutor (only for those applying for the scholarship) All the documents must be in pdf format, in order to upload them on the portal when required. Application has to be submitted: first via the following FORM and then via Alice portal following the instructions of the “How to apply” page. Fees Tuition fees: 750€ Pay fees by Debit/Credit Card or PayPal online using the following: Payment Form NOTICE: International students without Italian Tax Code: please tick the box ‘Anonymous’ in order to disable the field ‘Italian personal ID/VAT number’. Please type your NAME and SURNAME next to the pre-filled text of the field ‘Reason’ Please pay only after receiving the admission letter Payment deadline: 31 March 2025 REFUND POLICY: By 16 April 2027: an 80% tuition fee refund is allowed. After 16 April 2027: Fees are non-refundable. Contacts Scientific Coordinator Prof. Gaetano Valenza gaetano.valenza@unipi.it Operational Manager Dr. Simona Moschini simona.moschini@unipi.it Website https://ncil.ing.unipi.i/2027-summer-school Summer/Winter School Office support.summerschool@unipi.it