I am currently working on the following three research fronts:

Linux Dataplane 

To explore current Linux packet processing frameworks in an attempt to optimize the dataplane and offer some important guidelines for its configuration. Its performance is central to datacentre server operation, the deployment of virtual network functions and service functions.

Service Function Chains in Large Graphs

To examine the allocation of service function chains in the context of large and mobile 5G scenarios. The problem takes into account changing RAN conditions, different user traffic requirements and service constraints such as high availability and load balancing.

Risk Management in Human-Robot Maintenance Interaction

Together with an industrial partner, we built a risk assessment framework in the context of a human robot collaboration. A robotic arm operates in close proximity to users in a network maintenance task. The developed framework, not only allows the automatic equipment maintenance but also monitors collision events using an advanced intelligent modules that implement, camera callibration, human and robot image segmentation, bounding box detection and reasoning.

Compression of Machine Learning Techniques for IoT Devices

Together with a PhD student, we develop new techniques for the compression of machine learning techniques to run on small IoT devices. Under the devloped strategy, despite the high compression rates ranging from 10 to 90%, accuracy remains at an acceptable level.