Miguel Ángel Cazorla Quevedo

Miguel Ángel Cazorla Quevedo is a Professor in the Department of Computer Science and Artificial Intelligence at the University of Alicante's Higher Polytechnic School. He has served as a professor since 1995, progressing through all academic ranks to become a full professor in 2017. His administrative roles include being Director of the University Institute of Computer Research, Coordinator of the Robotics Engineering degree program, and Director of the Artificial Intelligence Master's program.

Dr. Cazorla holds a PhD in Computer Engineering (2000) and a Computer Engineering degree (1995), both from the University of Alicante. His research has consistently focused on computer vision with applications to robotics. Over his career, he has expanded into 3D data processing, deep learning applications across multiple domains including medical imaging and traffic analysis, and more recently, Large Language Models. His current research emphasizes social robotics, applying these technologies to assist dependent individuals.

His publication record includes over 70 JCR-indexed articles (more than 30 in Q1 journals) and over 100 conference papers. Recent publications show a strong focus on holographic classroom integration, depth estimation, adversarial attacks in neural networks, medical image analysis, and educational applications of AI. His work bridges computer vision, robotics, deep learning, and practical applications in healthcare, education, and transportation.

• Senior Member of IEEE

Dr. Cazorla has supervised 22 doctoral theses and 198 undergraduate/master's theses in the last five years. He serves as Principal Investigator on multiple national research projects including 'Asistente para Personas con TEA y fobias mediante Realidad Virtual y Aumentada' (2023-2026) and 'MEEBAI: A Methodology for Emotion-Aware Education Based on Artificial Intelligence' (2022-2025). He also leads several technology transfer projects with companies like CYPE SOFT and EMBENTION.

He leads the Robotics, Vision and Intelligent Technologies (RoViT) research group within the University Institute of Computer Research, which focuses on applying computer vision and AI to real-world problems in social robotics, healthcare, education, and industry.