7th European Microwave Week

Event recap

EuMW 2024 — 27th European Microwave Week (Paris)

We took part in the full-day Workshop WF01 on free-space radar sensing for electromagnetic materials modelling and characterization.

Dates

22–27 September 2024

Venue

Paris Expo Porte de Versailles

Room

E07 (WF01)

Event page Programme matrix

Week dates/venue from EuMW; WF01 listed on Friday in the programme matrix; room/time from our announcement. :contentReference[oaicite:0]{index=0}

Workshop WF01 — recap

EuRAD WorkshopFull day

Last Advances in Free-Space Radar Sensing for Electromagnetic Materials Modelling & Characterization

Held on Friday, 27 September 2024, 08:30–17:50, Room E07. Chaired within the EuRAD track.

WF01 appears on the Friday overview of the EuMW programme matrix. :contentReference[oaicite:1]{index=1}

Our contribution

TalkWF01

Advances in Computational Modelling of Radar Wave–Material Interactions

Presented by Dr. Marzena Olszewska-Placha (QWED). The talk summarized modelling workflows that bridge free-space radar experiments and material parameter extraction for complex dielectrics and composites.

Talk title confirmed on QWED resources summarizing our EuMW 2024 contributions. :contentReference[oaicite:2]{index=2}

Key takeaways

Free-space sensing

Robust routes from RCS/reflectometry data to dielectric models.

Model–measurement loop

Tighter coupling of full-wave solvers with experimental setups.

Applications

Polymers, thin films and engineered materials relevant to EuRAD use-cases.

Resources

EuMW 2024 — Programme Matrix

Day-by-day grid including WF01 on Friday.

Open PDF

EuMW 2024 — Event page

General info and week schedule (22–27 Sept, Paris Expo).

Visit site

Our pre-event post captured room/time specifics for WF01; the matrix confirms WF01 as a Friday workshop. :contentReference[oaicite:3]{index=3}

Let’s continue the conversation

Interested in free-space radar sensing workflows or linking EuRAD-style experiments with materials modelling? We’re happy to share slides and example datasets.

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