School information

EUPROMETA Doctoral School will be held right after the Conference (5-6 September 2025) in the same venue. The topic of the school will be

Metamaterials and Information

How can metamaterials revolutionize information processing and information transfer? And how can information-driven techniques revolutionize the design and function of metamaterials? The Metamaterials’25 Doctoral School will explore the deep connection between metamaterials and information — how they can be used to process, transfer, and manipulate information, as well as how cutting-edge information-driven techniques like inverse design are shaping the next generation of metasurfaces. Leading experts in the field will introduce state-of-the-art approaches spanning multiple disciplines, including:
 
· Electromagnetic and acoustic wave-based computing
 
· Machine learning for metamaterial design
 
· Radiofrequency and wireless information processing and transfer
 
· Mathematical operations and wave-based analog computing
 
· Inverse design and optimization for metasurfaces
 
· Image processing and advanced sensing techniques
 
Designed for PhD students and early-career researchers from diverse backgrounds—photonics, RF, acoustics, and beyond—this two-day school will provide tutorial-style lectures that balance fundamental concepts with cutting-edge developments and a panel discussion on metamaterial careers in- and outside of academia.
 
Join us in Amsterdam for an inspiring deep dive into the future of metamaterials and information!
 

List of teachers (in alphabetical order):

Nasim M. Estakhri, Fowler School of Engineering, Chapman University,
 
Philipp del Hougne, CNRS-IETR, University of Rennes 1 
 
David Miller, Ginzton Laboratory, Stanford University 
 
Said Rodriguez, Department of Information in Matter,  NWO-I Institute AMOLF
 
Marc Serra Garcia, Department of Information in Matter, NWO-I Institute AMOLF 
 
Patty Stabile, Eindhoven Hendrik Casimir Institute (EHCI),Technical University Eindhoven 
 
Jelena Vuckovic, Ginzton Laboratory, Stanford University
 
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