Poster & Demo Sessions
Poster and demo sessions are organized in the @ Corridor. The first session takes place from 13:45 to 14:40. The second session is from 16:00 to 16:55.
Interactive Demos
AMICAS demonstrator: Decision support for human-supervised anesthesia
Demo 1
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The AMICAS demonstrator is a laboratory-based platform designed to demonstrate the integration of virtual patient simulation, multivariable anesthesia control, online model identification and adaptation, physiological prediction, decision support, and safety supervision. The demonstration consists of two interconnected stations: the Patient Side (Operating Room) and the Controller Side (Control Room). The Patient Side simulates physiological responses to Propofol, Remifentanil, Dopamine, and Sodium Nitroprusside administration, including patient variability, surgical disturbances, and blood-loss scenarios. The simulated physiological outputs include the Bispectral Index (BIS), Nociception Level (NOL), Cardiac Output (CO), and Mean Arterial Pressure (MAP). The Controller Side incorporates multivariable predictive control, online identification and adaptation, probabilistic forecasting, and physiological alarm monitoring. Communication between the two stations enables the exchange of simulated patient measurements, control commands, and supervisory information, illustrating manual, assisted, and closed-loop anesthesia management strategies. At the FEARS Conference, the demonstrator will be presented using two laptops, each connected to an external screen. One station will represent the operating room, while the other will represent the control room.
Read moreView location in Venue Guide →Procedural Modeling as a Methodological Layer for Ray-Tracing-Based Electromagnetic Simulations
Demo 2
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This work presents procedural modelling as a methodological layer for ray-tracing-based electromagnetic simulations. A workflow integrates Blender Geometry Nodes with Sionna RT to generate parameterised scenes, simulate propagation, and analyse propagation paths within Blender. Model parameters, random seeds, material assignments, and solver settings are retained to link results to their scene configurations. A vegetation case study at 26 GHz examines sensitivity to leaf concentration and variability across geometric realisations, illustrating their influence on coherent path gain. A greenhouse example illustrates application to larger environments. The workflow supports controlled scene variation and traceable comparison of simulation results, providing a basis for reproducible studies and future digital twins.
Read moreView location in Venue Guide →Academic Posters
Come back later for the full list of accepted posters!
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All accepted posters will be listed here after the review process is completed.
Read moreView location in Venue Guide →