As a Ph.D. candidate in Computer Science at the University of Murcia, Spain, I am driven by a passion for innovation at the intersection of cutting-edge technologies. My academic journey began with a B.Sc. in Information and Communication Technologies, followed by an M.Sc. in New Technologies, where I specialized in information security, networks, and telematics.
I am currently immersed in exploring Federated Learning (FL) within decentralized architectures, aiming to unlock its transformative potential across sectors such as:
🏥 Healthcare - Enhancing patient care and medical research through secure data sharing.
🏭 Industry 4.0 - Optimizing manufacturing processes and predictive maintenance.
📱 Mobile Services - Improving user experiences and personalized services.
🛡️ Military Applications - Strengthening defense systems with advanced machine learning.
🚗 Vehicle Technology - Innovating autonomous driving and vehicle-to-everything (V2X) communication.
My work bridges multiple domains, including:
🤖 Artificial Intelligence (AI) - Machine learning, deep learning, and natural language processing.
🔐 Cybersecurity - Secure data exchange and privacy-preserving techniques.
🌐 Internet of Things (IoT) - Edge computing, sensor networks, and smart devices.
🧠 Brain-Computer Interfaces (BCI) - Human-computer interaction and cognitive neuroscience.
I am dedicated to advancing technology to create a more connected, secure, and intelligent world. My mission is to contribute to both theoretical advancements and tangible innovations that drive impactful change.
🚀 Always eager to collaborate, share knowledge, and discuss the latest technological breakthroughs. Let me know if you’d like to know more!
Posted September 15, 2023 by Enrique Tomás Martínez Beltrán ‐ 2 min read
Federal Office for Defence Procurement …
European Defence Fund, 13.454.545.33€, …