Alejandro Calvillo
Telematics Engineer
A web cover letter
Explore some of my featured research articles.
An in-depth study on leveraging GNNs for Digital Twin applications in telecommunications.
A detailed framework on enhancing Network Digital Twins with virtualization and network slicing awareness.
A Proof-of-Concept demonstration of an AI-based control plane for enhancing deterministic network management.
(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 am currently an Research Support Specialist at the Telematics Department of UC3M. My research focuses on applying Graph Neural Networks to create Digital Twin models for next-generation telecommunication networks. I specialize in predicting network performance metrics and simulating 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 algorithms for Graph Neural Networks, working with simulation tools like OMNET++, and implementing network functionalities using Software-Defined Networks and OpenAPI standards. I am proficient in integrating machine learning techniques into network simulations to model realistic scenarios and enhance predictive accuracy.
Telematics Engineer
