Adaptive system for
crowding monitoring using user's devices fingerprinting
Adaptive system for
crowding monitoring using user's devices fingerprinting
Embedded Files
crowding monitoring using user's devices fingerprinting
dissemination actions
dissemination actions
Some dissemination actions in which the team was most actively involved in the organization and presentation.
Invited lecture within the Smart City Ringvorlesung at the University of Bamberg, presenting research on tools and platforms for smart tourism.
Tutorial presented at ICUFN 2025, introducing an adaptive and anonymous Wi-Fi crowd sensing solution designed for easy deployment during temporary events.
Poster presented at ICUFN 2025 showcasing the design, implementation, and evaluation of optimized wireless pedestrian counting sensors combining passive and active technologies.
An international workshop focused on how smart technologies and data-driven approaches can support sustainable urban governance.
Talk: Célia Aguiar, “Integrating data-driven solutions for sustainable urban management: the Lisbon experience”
Talk: Rui Marinheiro, “The MONICROWD project: background and future developments”
Demo: João Oliveira, “WiFi-based Crowd monitoring in real time”
Demo: Miguel Martins, “Capturing wireless trace elements for WiFi device fingerprinting”
Demo: Tiago Vieira, “Barrier sensor for remote low traffic pedestrian monitoring”
Participation in BOOST 2026 – NEST Tourism Innovation Center, featuring a live demonstration of the projects' crowd and pedestrian sensing solutions in a tourism and public-space context.
Demo: João Oliveira and Miguel Martins, "Adaptive System For Crowding Monitoring Using User’s Devices Fingerprinting"
Demo: Tiago Vieira, "Wireless Pedestrian Counting Sensors Combining Passive And Active Technologies"
Rui Neto Marinheiro interview for Iscte institutional journal on the MoniCrowd project
Fernando Brito e Abreu interview for Iscte institutional journal on the RESETTING project
Scientific publications
Scientific publications
Most relevant scientific publications in the context of the MoniCrowd project.
Marinheiro, R. N.; Brito e Abreu, F.; Vieira, T.; Martins, M. (2025). Adaptive Crowd Sensing with Privacy-Preserving WiFi Fingerprinting, IEEE International Conference on Smart Internet of Things (SmartIoT 2025) https://doi.org/10.1109/SmartIoT66867.2025.00053
Marinheiro, R. N.; Brito e Abreu, F.; Vieira, T.; Martins, M. (2025). Adaptive Crowd Sensing with Privacy-Preserving WiFi Fingerprinting, IEEE International Conference on Smart Internet of Things (SmartIoT 2025) https://doi.org/10.1109/SmartIoT66867.2025.00053
Brito e Abreu, F.; Marinheiro, R. N.; João Oliveira Mestre Santos, T. (2025). Quality-Driven Edge-to-Cloud Architecture for Crowd Monitoring with Wi-Fi Sensing, IEEE Annual Congress on Artificial Intelligence of Things (AIoT 2025) https://www.ieee-aiot.org/2025/accepted-papers.php
Santos, T., Marinheiro, R. N., & Brito e Abreu, F. (2025). Wireless crowd detection for smart overtourism mitigation. In E. Kornyshova, R. Deneckère, & S. Brinkkemper (Eds.), Smart life and smart life engineering: Current state and future vision (pp. 237-258). Springer. https://doi.org/10.1007/978-3-031-75887-4_11
Marinheiro, R. N. (2025). Adaptive and Anonymous WiFi Crowd Sensing: An Easily Deployable, Multi-RAN Solution for Temporary Events, The 16th International Conference on Ubiquitous and Future Networks (ICUFN). https://doi.org/10.1109/ICUFN65838.2025
Polónio, J., Moura, J., & Marinheiro, R. N. (2025). Towards automatic detection and mitigation of high-risk cybersecurity vulnerabilities at networked systems. IEEE Access, 13, 181957-181976. https://doi.org/10.1109/ACCESS.2025.3622497
Brito e Abreu, F., Marinheiro, R. N., Boavida-Portugal, I., Lopes, A., Santos, T., Sampaio de Almeida, D., & Simões, R. (2024). A digital transformation approach to scaffold tourism crowding management: Pre-factum, on-factum, and post-factum. Proceedings - 2024 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2024, 586-591. IEEE. https://doi.org/10.1109/ECTIDAMTNCON60518.2024.10480056
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