AI-Enabled Electromagnetic Sensing for Blood Analysis: Challenges, Opportunities, and Clinical Potential

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Abstract:

Blood monitoring is essential for the early detection, diagnosis, and management of a wide range of health conditions. However, conventional blood analysis often depends on invasive sampling, laboratory infrastructure, and intermittent testing, which can limit accessibility and continuous monitoring. These limitations motivate the exploration of electromagnetic sensing as a promising alternative for blood analysis.

This talk presents the broader vision of monitoring blood using electromagnetic sensing technologies, with emphasis on how the dielectric and dispersive properties of blood change with its composition and physiological state. Variations in parameters such as hematocrit, hemoglobin, and temperature can influence the electromagnetic response of blood across frequency. By studying these signatures, new pathways can be explored toward non-invasive blood assessment.

The presentation will discuss how artificial intelligence can support this journey by learning complex relationships between electromagnetic measurements and blood-related parameters, improving feature extraction, identifying informative frequency regions, and enabling robust prediction and classification. At the same time, the talk will highlight major challenges in this field, including biological variability, measurement sensitivity, calibration, generalization across subjects and devices, interpretability of AI models, and the constraints imposed by real-world sensor and hardware design.


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  • The University of Queensland
  • Brisbane, Queensland
  • Australia
  • Building: 46 (Andrew N. Liveris Building)
  • Room Number: 914
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  • Starts 05 May 2026 02:00 PM UTC
  • Ends 09 May 2026 02:00 PM UTC
  • No Admission Charge

  Speakers

Dr. Hajar Abedi of The University of Queensland

Topic:

AI-Enabled Electromagnetic Sensing for Blood Analysis: Challenges, Opportunities, and Clinical Potential

Biography:

Hajar Abedi is a Postdoctoral Research Fellow at The University of Queensland, Australia, with expertise in electromagnetic sensing, signal processing, and artificial intelligence for healthcare applications. Her research explores microwave and millimeter-wave techniques for biomedical monitoring, with a focus on intelligent sensing systems and AI-enabled diagnostic technologies.

She completed her PhD at the University of Waterloo, Canada and has also contributed to the translation of research into real-world impact through her role as co-founder of ElephasCare. Hajar served as an IEEE AP-S Young Professional Ambassador in 2025 and now serves as a committee member of the IEEE AP-S Young Professionals program.

Her work brings together electromagnetics, machine learning, and healthcare innovation to advance next-generation sensing technologies.

Address:Brisbane, Queensland, Australia