PhD Student, Carlos III University of Madrid, Spain
Francisco Javier Blanco Romero is a versatile physicist and an active researcher specializing in cryptography, machine learning, robotics, IoT/IIoT, and networks. Currently based in Madrid, he is pursuing a PhD in Telematic Engineering at Universidad Carlos III de Madrid, where he focuses on integrating post-quantum cryptography into secure communication protocols for IoT and IIoT. With a background in physics and robotics, Francisco is dedicated to advancing security in next-generation communication technologies. 馃實馃攼
Publication Profile
Education
Francisco holds a Bachelor鈥檚 Degree in Physics from Universidad Complutense de Madrid, specializing in fundamental and theoretical physics. He also completed a Master鈥檚 Degree in Robotics at Universidad Miguel Hern谩ndez de Elche, where his thesis focused on enhancing communication security in ROS 2. He is currently working towards his PhD in Telematic Engineering at Universidad Carlos III de Madrid, researching post-quantum cryptography integration for IoT and IIoT communication protocols. 馃帗馃摌
Experience
Francisco’s professional career includes roles as a Research Support Technician in the QURSA Project at Carlos III University of Madrid, where he focuses on quantum random number generators and post-quantum cryptography for IoT communication. He has also contributed to various EU projects in innovation and technical management, such as the LIFE and Horizon Europe programs. His prior work includes developing a real-time tracking system and GIS for sustainable urban mobility. Francisco also taught programming courses in multimedia and web development. 馃捇馃攳
Awards and Honors
Francisco has been recognized for his contributions to research and development, including his involvement in various prestigious academic events like the RECSI and QSNS conferences. He has authored several publications and has received scholarships for his academic work, such as those from ValgrAI and Carlos III University. 馃弳馃摐
Research Focus
His research is centered on post-quantum cryptography, particularly its application to secure communication protocols for IoT, IIoT, and robotics. Francisco explores quantum-resistant architectures and their integration into modern cryptographic systems to ensure robust security in the face of quantum computing advancements. His ongoing work on machine learning methods for entropy estimation and quantum random number generators contributes to secure data communication in the post-quantum era. 馃敀馃摗
Conclusion
Francisco Javier Blanco Romero is at the forefront of a rapidly evolving field, combining deep knowledge of cryptography, machine learning, and network security. His work promises significant advancements in securing communication systems for IoT, IIoT, and robotics, ensuring their resilience against emerging quantum technologies. He continues to push the boundaries of cryptography and communication security. 馃殌馃攽
Publications
Machine Learning Predictors for Min-Entropy Estimation
Published: Entropy, 2025-02-02
Link to Article
Cited by: 1
Evaluating Integration Methods of a Quantum Random Number Generator in OpenSSL for TLS
Published: Computer Networks, 2024-12
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Cited by: Not yet cited
Integrating Post-Quantum Cryptography into CoAP and MQTT-SN Protocols
Published: IEEE Symposium on Computers and Communications (ISCC), 2024-06-26
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Cited by: Not yet cited
PQSec-DDS: Integrating Post-Quantum Cryptography into DDS Security for Robotic Applications
Published: IX Jornadas Nacionales de Investigaci贸n en Ciberseguridad, 2024-05
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Cited by: Not yet cited
Guided Waves in Static Curved Spacetimes
Published: arXiv preprint, 2024
Link to Article
Cited by: 1
Onion Routing Key Distribution for QKDN
Published: arXiv preprint, 2024-02
Link to Article
Cited by: Not yet cited