The IN-DEEP consortium gathered for the Scientific Review meeting held on January 27, 2026 to discuss key advancements in the project.
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13th - 16th of MAY 2025 - IN-DEEP WORKSHOP, Pavia, Italy
13th - 16th of MAY 2025 - IN-DEEP WORKSHOP, Pavia, Italy
Quality datasets for deep PDE solvers
Quality datasets for deep PDE solvers
(Organizer: University of Pavia)
(Organizer: University of Pavia)
The IN-DEEP consortium gathered for the Scientific Review meeting held on January 28, 2025 to discuss key advancements in the project.
IN-DEEP TRAINING WEEKS
IN-DEEP TRAINING WEEKS
21st - 25th of OCTOBER 2024 - 1st IN-DEEP week, Bilbao, Spain (Organizers: BCAM and UPV/EHU)
21st - 25th of OCTOBER 2024 - 1st IN-DEEP week, Bilbao, Spain (Organizers: BCAM and UPV/EHU)
Day 1 - Welcome & Scientific presentations.
Day 2 - Scientific presentations.
Day 3 - Deep PDE solvers implementation (technical course).
Day 4 - Research methodology and tools (transversal skills course).
Day 5 - Communication, dissemination, and transfer of knowledge.
SEPTEMBER 2025 - 2nd IN-DEEP week, Turin, Italy (Organizer: POLITO)
SEPTEMBER 2025 - 2nd IN-DEEP week, Turin, Italy (Organizer: POLITO)
Day 1 - Welcome & Scientific presentations.
Day 2 - Scientific presentations.
Day 3 - Physics-aware & mathematics-infused DL for PDEs (technical course).
Day 4 - Communication and public speaking (transversal skills course).
Day 5 - Communication, dissemination, and transfer of knowledge.
JULY 2026 - 3rd IN-DEEP week, Nottingham, UK (Organizer: University of Nottingham)
JULY 2026 - 3rd IN-DEEP week, Nottingham, UK (Organizer: University of Nottingham)
Day 1 - Welcome & Scientific presentations.
Day 2 - Scientific presentations.
Day 3 - Mathematical modeling and benchmark problems in health applications (technical course).
Day 4 -Introduction to research funding. Research Programmes (transversal skills course).
Day 5 - Communication, dissemination, and transfer of knowledge.
JUNE 2027 - 4th IN-DEEP week, Paris, France (Organizer: ENSAM)
JUNE 2027 - 4th IN-DEEP week, Paris, France (Organizer: ENSAM)
Day 1 - Welcome & Scientific presentations.
Day 2 - Scientific presentations.
Day 3 - AI tools for green energy technologies (technical course).
Day 4 - My Ph.D., what next? (transversal skills course).
Day 5 - Communication, dissemination, and transfer of knowledge.
WORKSHOPS & SUMMER SCHOOLS
WORKSHOPS & SUMMER SCHOOLS
May 13th - 16th, 2025 - WORKSHOP: Quality datasets for deep PDE solvers, Pavia, Italy (Organizer: University of Pavia)
May 13th - 16th, 2025 - WORKSHOP: Quality datasets for deep PDE solvers, Pavia, Italy (Organizer: University of Pavia)
Topics: Supervised vs. unsupervised learning in deep PDE solvers. Synthetic datasets in inverse problems. Challenges in experimental datasets for industrial inverse problems.
Practical training: Data sampling in TensorFlow for a simple PDE model.
MAY 2026 - Online SUMMER SCHOOL: Writing in science (Organizers: AGH & BCAM)
MAY 2026 - Online SUMMER SCHOOL: Writing in science (Organizers: AGH & BCAM)
Courses: Research articles. Effective grant proposals. Writing about sciences for a general audience.
Practical training: Improve your own work-in-progress paper. Grant proposal case study: HORIZON-MSCA-2022-DN-01-01. Turn your research paper and findings into a blog post.
APRIL 2027 - Online WORKSHOP: Smart procedures of model interpretation and explanation in geophysics, smart cities, and health (Organizers: UPV/EHU & TECNALIA)
APRIL 2027 - Online WORKSHOP: Smart procedures of model interpretation and explanation in geophysics, smart cities, and health (Organizers: UPV/EHU & TECNALIA)
Topics: Explainable AI: concepts and taxonomies. Explainability in deep neural networks. Application to geophysics, healthcare, and urban traffic forecasting.
SEPTEMBER 2027 - Online WORKSHOP: Entrepreneurship and innovation. (Organizers: TECNALIA & SIEMENS)
SEPTEMBER 2027 - Online WORKSHOP: Entrepreneurship and innovation. (Organizers: TECNALIA & SIEMENS)
Topics: Sources of financing. EU funds and regulations on intellectual property for entrepreneurs. Strategic innovation. Prospect theory. Customer value proposition. Inspirational success stories (and the lessons learned).
Practical tutorial: Assess the industry trends in AI. Identify an opportunity for creating a tech business. Draft a start-up business plan.
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