Alejandro Calvillo
Telematics Engineer
A web cover letter
Explore some of my featured research articles.
A detailed framework on enhancing Network Digital Twins with virtualization and network slicing awareness.
We propose a framework that unifies offloading decision and edge resource orchestration under accuracy, latency, and energy efficiency goals
A Proof-of-Concept demonstration of an AI-based control plane for enhancing deterministic network management.
An in-depth study on leveraging GNNs for Digital Twin applications in telecommunications.
(Spanish Only) A study on semantic orchestration and context-aware policies for mobile robotic systems.
I hold a Bachelor's Degree in Telematics Engineering from Universidad Carlos III de Madrid (UC3M) and a Master's Degree in Information Systems Engineering from Universidad Rey Juan Carlos (URJC). My comprehensive academic background covers advanced topics in telecommunications, network architectures, information systems, and machine learning. The dual-degree program has equipped me with a strong foundation in both hardware and software aspects of network systems, as well as in data analysis and system integration.
I'm working as Research Support Specialist at the Telematics Department in UC3M. My research focuses on applying Graph Neural Networks to create Network Digital Twin models for next-generation telecommunication networks. I specialize in predicting network performance metrics and emulating complex behaviors in scenarios involving virtualized network functions and resource constraints, contributing to the enhancement of intelligent network management systems.
I have extensive experience in Python, Java, C, and Golang, along with a deep understanding of GNU/Linux environments. My expertise includes developing Machine Learning models, experience with simulation tools like OMNET++, and implementing network functionalities using Software-Defined Networks and OpenAPI standards.
Telematics Engineer
