Isaac Triguero Velázquez
Scholar

Isaac Triguero Velázquez

Google Scholar ID: KogUP4YAAAAJ
Assoc Prof at Univ of Granada, Honorary Assoc Prof at Univ of Nottingham
General Purpose AIdata preprocessingbig dataevolutionary algorithmssemi-supervised learning
Citations & Impact
All-time
Citations
4,177
 
H-index
30
 
i10-index
63
 
Publications
20
 
Co-authors
0
 
Resume
Academic Achievements
  • Published the first edition of the 'Python and Spark ML' book; made significant contributions in developing state-of-the-art big data pre-processing techniques for classification, novel big data learning algorithms, and addressing extreme big data problems such as imbalanced classification.
Research Experience
  • Worked as a postdoctoral researcher in the Data Mining and Modelling for Biomedicine group (DAMBI) at Ghent University, now a member of the Computation Optimisation and Learning Lab (COL) at the University of Nottingham.
Education
  • MSc and PhD in Computer Science from the University of Granada, Spain.
Background
  • Associate Professor of Data Science at the School of Computer Science, University of Nottingham. Research interests include data mining, data reduction, semi-supervised learning, extreme classification, and big data learning. Particularly fascinated by the challenges associated with processing large amounts of data to extract valuable knowledge in extreme frameworks.
Miscellany
  • Born and raised in Atarfe, a small town near Granada, Spain; very interested in biometrics, especially fingerprint recognition; also interested in the application of evolutionary models in real-world optimization problems.