Professor at Rey Juan Carlos University, Spain
Julio Vega PĂ©rez is a distinguished researcher and academic in Computer Science and Artificial Intelligence. His expertise spans robotics, computer vision, and educational technologies. With a passion for integrating AI into education, he has contributed significantly to robotics in secondary education and university curricula. His work has been recognized internationally, earning multiple awards and distinctions.
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Education 🎓
Julio Vega PĂ©rez holds a Ph.D. with distinction in Computer Science and AI from the University of Alicante (2008-2018), where he received an Exceptional Doctoral Thesis Prize and international honors. He also earned multiple master’s degrees, including an M.Ed. in Secondary Education from Rey Juan Carlos University (2010-2011) and M.Sc. degrees in Computer Graphics Science and Computer Science. His academic journey began with a B.A.Sc. in Computer Science from the University of Extremadura (2002-2005).
Experience đź’Ľ
Julio Vega has an extensive background in research and academia. He has held research stays at prestigious institutions like Southern Denmark University, University of Eastern Finland, and York University in Canada. He has worked on cutting-edge projects in robotics, computer vision, and AI-driven education. Additionally, he has served as an Associate Professor at Rey Juan Carlos University, specializing in Sensors, Actuators, and Software Design.
Research Interests 🎡
His primary research interests include robotics, artificial intelligence, computer vision, and the integration of these technologies into education. He focuses on developing cognitive architectures, AI-driven educational tools, and vision-based robotic systems. His work aims to enhance STEM education through interactive and gamified learning methodologies.
Awards 🏆
Julio Vega has received numerous accolades, including the Exceptional PhD Prize (2021) from the University of Alicante, the International Award for the Best STEM Project (2019, Ciencia en AcciĂłn, CSIC), and the Innovative Teacher Award (2020, URJC). His contributions to educational robotics and AI in teaching have been recognized in both national and international forums.
Publications Top Notes: đź“–
Julio Vega has authored several influential research articles, book chapters, and conference papers. Some notable publications include:
“G-ARM: An open-source and low-cost robotic arm integrated with ROS2 for educational purposes” – Multimedia Tools and Applications, 2025. Read More
“Multisensory system for non-invasive monitoring and measuring of laboratory animal welfare” – Automatika, 2024. Read More
“Control system for indoor safety measures using a Faster R-CNN architecture” – Electronics, 2023. Read More
“ROS system facial emotion detection using machine learning for a low-cost robot based on Raspberry Pi” – Electronics, 2023. Read More
“Basic human–robot interaction system running on an embedded platform” – Microprocessors and Microsystems, 2021. Read More
Basic human–robot interaction system running on an embedded platform
Programming a humanoid social robot using the jderobot framework
Reconfigurable computing for reactive robotics using open-source fpgas