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Curriculum breve
  CAZORLA QUEVEDO, MIGUEL ANGEL

Brief curriculum
CAZORLA QUEVEDO, MIGUEL ANGEL

Personal data

E-mail:
Tel. No.
+34 965903400 x 2992
Location:

Current professional activity

Position:
CATEDRATICO/A DE UNIVERSIDAD
Dept.
Institutes:
I.U. INVESTIGACION INFORMATICA
Groups:
UNESCO Code:
120325 - Diseño de sistemas sensores
120304 - Inteligencia artificial

Academic background

  • Doctorado Ingeniería Informática
    Universidad de Alicante (20/05/2000)
  • Ingeniero en Informática
    Universidad de Alicante (01/07/1995)
  • Ingeniero técnico en Informática de sistemas
    Universidad de Alicante (01/09/1994)

Dr. Miguel Cazorla is a Computer Engineer from the University of Alicante (1995) and a PhD in Computer Engineering from the same University (2000). In 1995 he joined as a professor at the University of Alicante, going through all the figures (associate, assistant, head of school and holder of University). Since 2017 he has been a fullprofessor. He is IEEE senior member.

He has completed several stays at foreign institutions (Carnegie Mellon University, University of Sydney and University of Edinburgh). He has published more than 50 articles indexed in JCR (with more than 20 in Q1) and more than 100 publications in national and international conferences. He has directed 11 PhD theses and is a principal investigator in several national projects (CICYT, Challenges), as well as has made multiple transfer contracts to the company. He is a member of different program committees of national and international conferences.

His line of research has always been centered on computational vision. From the beginning he applied these skills to try to solve robotic tasks. Almost since its inception in research has worked in the processing of 3D data. In recent years he has diversified his lines to apply deep learning techniques to different areas (medical image, object recognition, depth estimation, identification of traffic objects, etc.). All his research in recent years has been focused on social robotics: application of all these techniques to help dependents.