My research lies at the intersection of networks, systems, and machine learning. I’m primarily interested in addressing challenges related to performance, scalability and trust in information systems, spanning from the cloud to the edge. Three major research clusters that I am working are:

• Embedded Machine Learning and IoT
  The emergence of embedded machine learning at the edge has revolutionized the field of artificial intelligence and computing, allowing intelligent decision-making to occur directly on small, resource-constrained devices such as IoT sensors, smartphones, and microcontrollers. This research domain study encompasses various aspects, including the development of lightweight algorithms, efficient hardware accelerators, and real-time data processing techniques. Furthermore, it investigates the implications of privacy, security, and energy efficiency in edge devices, as well as the integration of edge and cloud-based machine learning systems. This includes the following topics:
  – embedded machine learning (TinyML)
  – resource alloacation and real-time analytics at the edge
  – federated learning in resource-constrained devices

• Blockchain & Distributed Ledger Technology
  Fintech technology, such as distributed ledgers, blockchain, smart contracts for trust, digital currencies, token payments allow to implement economic compensation mechanisms for the exchange of value. In this thread we are working in the following topics:
  – blockchain interoprability, governance, scalability and performance
  – payment systems using blockchain technology
  – DLT/blockchain applications in areas such as IoT, logistics, and health

• QoS in Wireless Mesh Networks
  In a Wireless Mesh Network, the network connection is spread out among dozens or even hundreds of wireless mesh nodes that “talk” to each other to share the network connection across a large area. In this thread we are working in the following topics:
  – Micro-cloud QoS in wireless mesh networks
  – Service deployment and placement in wireless mesh networks