Research

My research investigates secure and privacy-aware sensing systems in the Internet of Things (IoT), focusing on how we perceive, interpret, and act on physical world information through digital systems. I am particularly interested in passive sensing, multi-modal data fusion, and cyber-physical security in constrained environments such as smart homes, logistics hubs, and public spaces.

Passive wireless sensor setup deployed at an event — **Left:** Passive wireless sensor setup for real-world data collection in event environments.

Heatmap of sensed occupancy overlaid on room map — **Right:** Heatmap visualizing occupancy and movement patterns from fused sensor data.

Research Themes

Passive Sensing and Tracking
Leveraging BLE, Wi-Fi, ZigBee, and LiDAR signals to unobtrusively track people and assets without requiring their active cooperation. Applications include occupancy analytics, behavior modeling, and crowd flow analysis.
Privacy-Preserving Perception Systems
Designing systems that ensure user privacy through selective sensing (e.g., depth-only LiDAR), anonymized signal processing, and differential handling of personal data.
Secure IoT and Cyber-Physical Systems
Developing methods to identify and mitigate cyber threats like DDoS attacks and unauthorized profiling by securing the communication and behavioral footprint of IoT devices.
Multi-Modal Sensor Fusion
Combining heterogeneous sensor data (RF, LiDAR, thermal, etc.) to enhance robustness, reduce noise, and support contextual awareness in real-world deployments.

Research Projects Experience

PasWITS – Passive Wireless Tracking Intelligence System (2020–2022)

Funded by Innosuisse, this project developed a privacy-preserving localization system using BLE and Wi-Fi signals. I led the architectural design, coordinated student development, and oversaw prototype testing in collaboration with an industry partner.

H2020 CONCORDIA – Cybersecurity Competence Network (2019–2022)

A European effort to build collaborative cybersecurity capacity. I contributed to distributed network defense (Task 1.2), the economics of cybersecurity (Task 4.1), and piloted the DDoS Clearing House for Europe (Task 3.2).

BC4CC – Blockchain-Based Cold Chain Monitoring (2018–2019)

Swiss KTI project focused on pharmaceutical cold chain monitoring. I helped to design the interoperability framework that matches policy constraints to optimal blockchain platforms, ensuring cost-efficient and reliable data logging.

E2C – Energy Efficiency to Clouds (2015–2016)

Part of the Laboratory of Sustainability in ICT (USP). Developed resource allocation strategies tailored to energy-aware user profiles, and coordinated the research group’s technical activities.

SOS – Sustainability-Oriented SDN Policies (2014–2015)

Developed an SDN-based control system for energy-efficient networking. This included dynamic policy refinement and deploying sustainable operational strategies for data center infrastructure.

Curious about results? Check the Publications page for selected works and links to external profiles.

Bruno Rodrigues

Research

Research Themes

Research Projects Experience

PasWITS – Passive Wireless Tracking Intelligence System</span> (2020–2022)

H2020 CONCORDIA – Cybersecurity Competence Network</span> (2019–2022)

BC4CC – Blockchain-Based Cold Chain Monitoring</span> (2018–2019)

E2C – Energy Efficiency to Clouds</span> (2015–2016)

SOS – Sustainability-Oriented SDN Policies</span> (2014–2015)