Special Sessions

Submit your paper now!

Special sessions have the main aim of creating a mini-workshop on a specific topic, where researchers working on the same argument can exchange ideas and create cooperation.

If you, as an author, have a paper that could be included in one of these sessions, you may submit a Full Paper to your preferred session track in EDAS.  If your paper is not selected for the session, it may be included in another part of the technical program.

To submit your paper to the special session, follow the submission instructions for regular sessions, ensuring you select your preferred special session track. 

  • 1. Optical Fiber Sensors and Sensing Networks

    Nowadays, optical fiber sensors are paramount in a variety of applications in modern society, and for this reason they have attracted the attention of academic as well as industry researchers.  The involved photonic devices exploit all those phenomena (nano-plasmonics, meta-surfaces, photonic crystals assisted surface waves, surface enhanced Raman scattering) providing sub-wavelength light confinement, and light matter interaction enhancements at nanoscale.

  • 2. Bio/chemical measurements via IoT Point-Of-Care-Tests

    Several low-cost, highly sensitive, simple-to-realize and to-use IoT Point-Of-Care Tests (IoT POCT) will be presented in this kind of special session. For instance, highly sensitive biosensor configurations are developed by using innovative platforms connected to the Internet that efficiently excite the plasmonic phenomena (surface plasmon resonance (SPR) or Localized SPR) in gold nanofilms, continuous or nanostructured, via energy-efficient systems. 

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      University of Campania Luigi Vanvitelli, Italy

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      University of Campania “Luigi Vanvitelli”, Italy

  • 3. Methods and Techniques for Structural Health Monitoring

    The session delves into methods and techniques for developing Structural Health Monitoring (SHM) systems. SHM of civil buildings and infrastructure represents an emerging and dynamic application that involves sensing, networking, data management, and analytics components, combined with domain knowledge. 

  • 4. Human Exposure to Cellular Networks Emissions

    The role of digital telecommunication technologies has dramatically evolved over the last few decades, becoming more and more pervasive in everyone’s life. Following this consolidated trend, it is expected an even more increase in human exposure due to multiple electromagnetic fields (EMFs) generated by such technologies. 

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      University of Cassino and Southern Lazio, Italy

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      Prof. Luca Chiaraviglio

      Engineering University of Rome Tor Vergata Department of Electronic, Italy

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      University of East Sarajevo Faculty of Electrical Engineering, Bosnia and Herzegovina

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      Land Forces Academy, Romania

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      Università di Napoli Federico II, Italy

  • 5. Time Sensitive Networking (TSN) in Networked Measurement Systems

    TSN is a family of standards developed to introduce determinism in Ethernet networks. Notably, it may be adopted by wireless networks, such as WiFi and 5G, as well. As such, it represents an enabling technology for communication systems in the context of Industry 4.0/5.0 where TSN allows time critical communication, and ensures reliability, flexibility, and scalability.

    • M&N_2024_SS_Headshots_Alberto Morato.png

      National Research Council of Italy (CNR-IEIIT), Italy

    • M&N_2024_SS_Headshots_Manuel Cheminod.png

      National Research Council of Italy (CNR-IEIIT), Italy

    • M&N_2024_SS_Headshots_Claudio Zunino.jpg

      National Research Council of Italy (CNR-IEIIT), Italy

  • 6. Digitalization in Urban Energy and Mobility Systems: The approach of the Samothrace Project and beyond

    “Accelerate the digital transformation of our public services” and “Decrease our energy consumption” are two of the more challenging targets of the UE Member States; in line with that position a  recent paper entitled ‘Digital Europe - How to spend it: a digital investment plan for Europe report’ , points out that digital technologies have the potential to reduce by 20% the global CO2 emissions by 2030, especially in sectors such as energy, transportations, construction, agriculture and manufacturing.

    • M&N_2024_SS_Alfio Lombardo.jpg

      Department of Electrical, Electronic, and Computer Engineering, University of Catania, Italy

    • M&N_2024_SS_Laura Galluccio.jpg

      Department of Electrical, Electronic, and Computer Engineering, University of Catania

  • 7. EMC Modeling and Measurements for modern connected vehicles

    The design of hybrid and electric vehicles poses serious challenges to assure the electromagnetic compatibility of on-board apparatus and communications systems adopted for intra-vehicle and V2X links. As an example, in this context, the onboard electronic devices for powertrain control, battery recharging, and communications are forced to operate in harsh environments due to a crowded spectrum and also because high-order harmonics due to the power electronics have magnitude often comparable with the communication signals intensity. 

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      Prof. Flavia Grassi

      Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy

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      Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, Italy

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      Prof. Alessandra Costanzo

      DEI “G. Marconi” Università di Bologna, Italy

  • 8. Anomaly Detection in Instrumentation and Measurement for Distributed Sensor Systems

    Achieving and maintaining precise measurements is paramount for ensuring the reliability and accuracy of data acquired by distributed wireless sensors networks. As such, anomaly detection has a pivotal role in identifying and mitigating unexpected deviations from normal sensor behaviour. The significance of anomaly detection lies in its ability to discern subtle irregularities that may compromise the accuracy of measurements, allowing for timely corrective actions to be taken.

    • M&N_2024_SS_Headshots_Irida Shallari.jpg

      Department of Computer and Electrical Engineering, Mid Sweden University, Sweden

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      Prof. Mattias O'Nils

      Department of Computer and Electrical Engineering, Mid Sweden University, Sweden

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      Department of Computer and Electrical Engineering, Mid Sweden University, Sweden