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Research map: CEMS Lab connects computational electromagnetics, propagation/channel modeling, multi-physics microwave systems, EM field exposure and BioEM, AI/ML-assisted EM modeling, and measurement-integrated validation.

CEMS Lab studies electromagnetic fields and waves in realistic engineering systems. The work begins with a physical model, turns it into a computable problem, and checks the result against field maps, measurements, benchmark models, or engineering constraints.

연구의 중심은 단순히 시뮬레이션을 실행하는 것이 아니라, 전자파가 실제 시스템 안에서 어떻게 전파되고 산란되며 흡수되는지를 설명 가능한 모델로 만드는 데 있습니다. 수치해석, 측정 보정, 검증 기준을 함께 세우는 것을 중요하게 봅니다.

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CEMS research interests: numerical EM, propagation/channel modeling, EM exposure/BioEM, multi-physics microwave systems, measurement/uncertainty, and AI/ML-assisted EM modeling.

Method foundations

• Computational EM solvers: full-wave, PE, ray-based, and hybrid methods
  • FDTD, FEM, MoM, CBFM, Green’s function methods, scattering and source modeling.
• Propagation and channel modeling across space/atmospheric, indoor, and outdoor environments
  • Ray tracing, parabolic equation methods, channel simulation, and waveform/channel distortion analysis.
• Measurement-integrated modeling, inverse diagnostics, and uncertainty-aware analysis
  • Near-field/far-field transformation, infinitesimal dipole modeling, equivalent sources, calibration, and uncertainty-aware diagnostics.

Research domains

• Space/atmospheric propagation for 6G LEO / NTN
  • Propagation-channel modeling for satellite, terrestrial, indoor, and urban environments under motion, blockage, multipath, atmospheric effects, and frequency-dependent distortion.
• RIS / metasurfaces / arrays and numerical EM design
  • Reconfigurable intelligent surfaces, metasurfaces, FSS/ASS structures, array antennas, active element patterns, mutual coupling, beam synthesis, and focusing behavior.
• Indoor/outdoor EM field exposure, measurement-informed field mapping, and digital-twin validation
  • Quantitative exposure modeling asks how much electromagnetic field reaches people, for how long, and with what spatial uncertainty. The work connects indoor field maps, measurement planning, exposure metrics, exceedance probability, and mitigation scenarios.
• Multi-physics microwave energy and EM-thermal coupling
  • Industrial microwave heating, applicator/cavity design, EM-thermal coupling, material loads, field-to-temperature interpretation, and measurement-informed validation.
• EM exposure / BioEM: numerical dosimetry, tissue-field interaction, stimulation devices, and engineering evidence
  • Measurement-informed reconstruction, field-map comparison, source identification, simulation-measurement mismatch reduction, and reproducible validation workflows.

How CEMS Lab uses AI/ML

AI/ML is used as a practical assistant to physics-based modeling: simulation acceleration, surrogate modeling, inverse modeling support, geometry-aware preprocessing, and measurement-based correction. The final result should still be interpretable, physically grounded, and checkable against evidence.

Research practice

Across projects, CEMS Lab emphasizes models that can be inspected, reproduced, and compared. A useful result should make clear what was assumed, which solver or approximation was used, how the field or temperature map was interpreted, and what measurement or validation evidence supports the conclusion.

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Use this page as the lab research map. The project pages show how these methods become concrete work on propagation, indoor EM environments, BioEM devices, and microwave energy systems.

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