The 3rd ElectroSense Workshop

April 27th 2022 in Madrid, Spain

About

The ElectroSense association has been established in 2016 with the objective of providing a more efficient, safer and more reliable use of the electromagnetic space by improving the accessibility of spectrum data for the general public. Following the growing interest around the initiative, we are proud to announce the third ElectroSense workshop. This one-day event will take place in Madrid (Spain) on April 27 2022 in the campus of Rey Juan Carlos University. The event is targeted at anyone interested in research and applications with spectrum data. It will serve as a forum to discuss new ideas, the network itself, and research activities around ElectroSense.

Participants are invited to actively contribute to the program by presenting their projects at the workshop. We invite participants from research, authorities, regulators, and industry.

The websites of previous workshops can be found here:

Program

Wednesday, April 27th
10:00 AM - 10:15 AM Welcome
Roberto Calvo (University of Rey Juan Carlos, Spain), Gerome Bovet (armasuisse), Domenico Giustiniano (IMDEA Networks, Spain)
10:15 AM - 10:45 AM Big and fast spectrum data - a tour around the technology jungle
Markus Fuchs (SeRo Systems, Germany)
10:45 AM - 11:15 AM RF-based drone detection and classification
Sanjoy Basak (Royal Military Academy, Belgium)
11:15 AM - 11:45 AM
Coffee Break
11:45 AM - 12:15 PM Deploying Electrosense Nodes at the US Army Research Laboratory’s Distributed Virtual Proving Ground Multi-purpose Sensing Area
Niranjan Suri (ARL, US), Yago Lizarribar (IMDEA Networks, Spain), Domenico Giustiniano (IMDEA Networks, Spain), Daniel Duran (IHMC, US), Timothy Gregory (ARL, US), Raffaele Galliera (IHMC, US)
12:15 PM - 12:45 PM A Co-existence Study between LoRaWAN and SigFox in ISM Bandwidth
Domenico Garlisi, Antonino Pagano, Fabrizio Giuliano, Daniele Croce, and Ilenia Tinnirello (University of Palermo, Italy)
12:45 PM - 1:15 PM Demo: Localizing transmitters using Electrosense
Yago Lizarribar (IMDEA Networks, Spain)
1:15 PM - 2:30 PM
Lunch Break
2:30 PM - 3:00 PM Decentralized Framework for Learning Spectrum Data on Large Scales
Yijing Zeng et al. (University of Wisconsin, USA)
3:00 PM - 3:30 PM ML-Based RSSI Indoor Localization Using Bluetooth Low Energy
Aymen Bahroun (Kudelski Group, Switzerland)
3:30 PM - 4:00 PM Learning the unknown: Improving modulation classification performance in unseen scenarios
Erma Perenda (KU Leuven)
04:00 PM Coffee break / opportunity for networking
05:00 PM End of the workshop

Important Dates

Presentation title and abstract due January 15th 2022
Notification of acceptance January 30th 2022
Program announcement February 15th 2022 March 3rd 2022
Workshop date April 27th 2022

Organizers

General Co-Chair Roberto Calvo (Universidad Rey Juan Carlos, Spain)
General Co-Chair Gérôme Bovet (armasuisse, Switzerland)
Program Chair Domenico Giustiniano (IMDEA Networks, Spain)
Web Chair Markus Fuchs (SeRo Systems, Germany)
Registration Chair Yago Lizarribar (IMDEA Networks, Spain)
Publicity Chair Yago Lizarribar (IMDEA Networks, Spain)
Technical Program Committee Sofie Pollin (KU Leuven, Belgium)
Vincent Lenders (armasuisse, Switzerland)
Domenico Giustiniano (IMDEA Networks, Spain)
Marina Petrova (RWTH Aachen University, Germany and KTH, Sweden)
Sreeraj Rajendran (Sirris, Belgium)

Registration

The registration fee is 60€ for every participant. Attendees need to register with the form below.

Those attending physically will have access to the following features from May 2022 to December 2022:

  • exclusive access to the testing platform
  • invitation to participate to the Electrosense hackathons and datathons
  • early access to the Electrosense publications

For further questions please contact Yago Lizarribar.

Venue

The workshop takes place at Universidad Rey Juan Carlos Campus de Fuenlabrada in Madrid

Accommodation

The closest hotel to the workshop venue is the LCB Hotel. If you want to stay in the city center, please take into account that it takes 45-60min to reach the university by public transportation.