CEMS flagship projects: space/atmospheric propagation, indoor/outdoor propagation, multi-physics microwave systems, EM exposure/BioEM, measurement-integrated modeling, validation, and AI/ML-assisted workflows.

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The projects below share one workflow: define the EM scenario, build a computable model, compare field or system behavior with measurements or evidence, use AI/ML only where it improves correction or surrogate modeling, and translate the result into reusable engineering methods.

The projects below show how CEMS Lab connects electromagnetic theory, numerical modeling, and measurement-aware validation to practical systems. Each project is organized around 3 questions:

• What physical problem is being modeled
• What computational method is needed
• What evidence would make the model reliable </aside>

Flagship project directions

• Space/atmospheric propagation: 6G LEO / NTN channel evidence
  • EM-aware propagation modeling for satellite-to-ground and indoor/urban links, including PE methods, ray tracing, atmospheric effects, and field-map validation.
• Indoor/outdoor propagation, EM field exposure, machine-vision CAD, and AI/ML-assisted correction
  • Physically interpretable analysis of reconfigurable surfaces, FSS/ASS structures, active element patterns, mutual coupling, and beam-control limits.
• Multi-physics microwave energy, EM-thermal sensing, and AI/ML surrogate modeling
  • Spatial field distribution, exposure duration, exceedance probability, and mitigation scenarios in realistic indoor environments, supported by measurement planning, ray/path interpretation, and simulation-based digital twins.
• EM exposure / BioEM: stimulation devices, tissue-field interaction, numerical dosimetry, and engineering evidence
  • Applicator/cavity design, field uniformity, EM-thermal response, sensor feedback, and reduced-order heating workflows.

How to read each project card

• Problem
  • What physical electromagnetic phenomenon or engineering decision is being modeled?
• Method
  • Which solver, approximation, inverse model, surrogate, or calibration workflow is needed?
• Evidence
  • What field map, measurement comparison, benchmark, dataset, code, or publication-quality figure would make the result credible?
• Output
  • Reproducible scripts, validated figures, benchmark comparisons, papers, and collaboration-ready summaries.
• Project-page design rule used here

🔎 Project browser

Open each card for a compact view of the application, method, and expected output.

Projects

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For lab photos and activity updates, use the Gallery and News blocks on the main page. For technical context, start from the research map and open the project pages that match the research direction you want to understand.

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For contact and application details, see Want to join ST CEMS Lab?.