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 to unlock its transformative potential across various sectors:
- 🏥 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 delivering personalized services.
- 🛡️ Military Applications: Strengthening defense systems with advanced machine learning techniques.
- 🚗 Vehicle Technology: Innovating in 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!
Learn more about my projects, explore my teaching portfolio, read my blog, or check out my publications.
Core Expertise Areas
Federated Learning
Cybersecurity
IoT
Machine Learning
Privacy-Preserving AI
Decentralized Systems
Brain-Computer Interfaces
Research & Innovation
