Dr Miguel Cazorla holds a degree in Computer Engineering from the University of Alicante (1995) and a PhD in Computer Engineering from the same university (2000). In 1995 he joined the institution’s teaching staff, working as an associate lecturer, assistant lecturer, senior university school lecturer and senior university lecturer before becoming a university professor
in 2017. He is an IEEE senior member.
He has completed stays at foreign institutions (Carnegie Mellon University, University of Sydney and University of Edinburgh), published more than 70 JCR-indexed articles (with more than 30 in Q1) and delivered over 100 lectures at national and international conferences. He has supervised 22 doctoral theses, is principal investigator of several national projects (CICYT,
Retos) and has been in charge of multiple contracts for the transfer of research results to companies. Moreover, he is part of the programme committee of national and international conferences.
His research has always focused on computational vision and how these techniques can be applied to solving robotic tasks. He has also worked in 3D data processing throughout most of his research career. More recently, his interests have extended to the applications of deep learning techniques in different fields (medical imaging, object recognition, depth estimation, traffic object identification, etc.) and the use of LLMs to solve different problems. Over the last few years his research work has been concerned with social robotics, i.e. the way these techniques can help older people or people with disabilities.
He has been deputy director, secretary and director of the University Institute for Computer Engineering Research. He has also served as coordinator of the Robotics Engineering undergraduate degree as well as director of the Artificial Intelligence Master’s degree at the University of Alicante Polytechnic School, besides proposing – and later coordinating – the UA’s PhD programme in Computer Science.