Research

My research lies at the intersection of Computer Networks, Distributed Systems, and Sensing. I investigate how to build resilient digital infrastructures that can interpret the physical world while maintaining security and trust. Key focus areas include Network Defense (DDoS), Blockchain-based Architectures, and Passive Wireless Intelligence.

Research Themes

Network Security & Resilience
Developing collaborative defense mechanisms against large-scale network attacks (e.g., DDoS). I focus on distributed signaling and automated mitigation across administrative domains.
Distributed Systems & Blockchain
Designing decentralized architectures for trust management and data integrity. My work leverages Smart Contracts to enforce policies in multi-party logistics and IoT environments.
Passive Wireless Sensing
Exploiting standard communication protocols (Wi-Fi, BLE, ZigBee) as "signals of opportunity" to unobtrusively track assets and analyze crowd behavior without active user cooperation.
Cyber-Physical Systems (CPS)
Integrating multi-modal sensor data (RF, LiDAR, Thermal) into coherent digital twins, ensuring that physical-layer inputs are processed securely within edge computing constraints.

Project Experience

PasWITS – Passive Wireless Tracking Intelligence
2020–2022 | Funded by Innosuisse
Developed a localization system analyzing Wi-Fi and BLE protocol headers. Led the system architecture for processing high-throughput wireless data streams at the edge.
H2020 CONCORDIA – Cybersecurity Network
2019–2022 | European Commission
Coordinated the DDoS Clearing House pilot. Focused on distributed network defense (Task 1.2), enabling cross-border threat intelligence sharing and automated attack mitigation.
BC4CC – Blockchain Cold Chain Monitoring
2018–2019 | Swiss KTI
Architected a Distributed Ledger Technology (DLT) framework. Addressed interoperability challenges between heterogeneous blockchain platforms to secure pharmaceutical supply chain data.
E2C – Energy Efficiency to Clouds
2015–2016 | Laboratory of Sustainability (USP)
Researched resource allocation algorithms for cloud infrastructure, focusing on optimizing virtual machine placement to reduce data center energy footprint.
SOS – Sustainability-Oriented SDN Policies
2014–2015
Developed a control plane for Software-Defined Networking (SDN). Implemented dynamic flow-rule policies to optimize network traffic routing based on real-time energy metrics.
Interested in the details?
Explore the Publications Page →