As a passionate and dedicated Ph.D. student in Computer Science at the University of Murcia, Spain, I bring a rich academic background and a deep commitment to technological innovation. My journey in the tech world began with a B.Sc. in Information and Communication Technologies, followed by an M.Sc. in New Technologies, where I honed my expertise in information security, networks, and telematics.
My current research focuses on the intersection of collaborative learning and decentralized architectures, known as Decentralized AI. I am particularly fascinated by the potential of Federated Learning – a cutting-edge approach that promises to revolutionize various sectors. My explorations delve into its applications across diverse areas such as healthcare, Industry 4.0, mobile services, military operations, and vehicle technology.
Beyond this, I pride myself on being a multidisciplinary researcher with a wide range of interests encompassing cybersecurity, Internet of Things (IoT), Brain-Computer Interfaces, and Artificial Intelligence. My approach is deeply rooted in utilizing Machine Learning and Deep Learning methodologies to enhance performance and efficiency across various domains and push the boundaries of what’s possible. My research aims to advance the theoretical understanding of these technologies and create practical, real-world solutions that can make a tangible difference.
I am excited about the possibilities and looking forward to collaborating and participating in discussions that drive innovation and knowledge in these dynamic fields 🧐
Posted January 14, 2024 by Enrique Tomás Martínez Beltrán ‐ 3 min read
Posted September 15, 2023 by Enrique Tomás Martínez Beltrán ‐ 2 min read
Federal Office for Defence Procurement …