MAIOS is proposed as an interdisciplinary workshop extending the scientific scope of TETRA towards mathematical modelling, artificial intelligence and emerging computational paradigms.

The workshop will focus on problems arising in optics, imaging, biophotonics, metamaterials and heterogeneous materials, where advanced computational methods are essential for modelling complex systems, reconstructing and interpreting experimental data, and developing new diagnostic approaches.

Scientific focus

1. Mathematical modelling and AI for complex experimental systems

Mathematical and data-driven modelling of optical, biological and heterogeneous material systems, with emphasis on parameter identification, computational reconstruction and the integration of physics-based models with machine learning.

The key question is how modelling and AI can support not only data analysis, but also interpretation of complex phenomena and design of experiments.

2. Neuromorphic and quantum approaches for imaging and sensing

Neuromorphic computing and neuromorphic photonics will be considered as new approaches to efficient processing of complex optical and sensory data.

Quantum and hybrid quantum-classical methods will be discussed in relation to computationally demanding problems in imaging and sensing, including reconstruction, optimisation and machine learning.

A central question will be where these emerging paradigms can offer genuine advantages over conventional computational approaches.

3. Computational imaging and biomedical diagnostics

Mathematical modelling and AI will be connected with advanced optical imaging, biophotonics and multimodal biomedical data.

Particular attention will be given to computational reconstruction, quantitative analysis of biological structures and AI-supported diagnostics, including methods supporting early cancer detection.

Metamaterials and heterogeneous materials will provide a natural link between material modelling, optical phenomena and new approaches to imaging and sensing.

Technology perspective

The scientific programme will be complemented by selected technology sessions and workshops involving companies whose expertise directly matches the scope of MAIOS.

Potential partners include:

• Google – AI for Science, multimodal scientific data, AI-assisted hypothesis generation and federated learning;
• IBM – quantum and hybrid quantum-classical computing;
• Honeywell – advanced sensing technologies and Digital Holographic Microscopy combining holographic imaging, computational reconstruction and AI;
• GlobalLogic – AI and computer vision for medical imaging and diagnostics;
• EPAM – AI-enabled MedTech and biomedical data analysis.

The industrial contribution will be integrated with the scientific programme through invited talks, case studies and practical technology workshops.

Expected outcomes

MAIOS aims to identify research problems at the interface of advanced photonics and materials, mathematical modelling, AI and emerging computing technologies.

The expected outcomes are new interdisciplinary collaborations, joint research directions, identification of problems suitable for future European projects, and stronger links between experimental research and computational methods.

Venue:

The 6th TETRA Workshop will take place at 24 Warszawska Street, Kraków, Poland.

Suggested Accommodation:

Ibis Kraków Stare Miasto