Luigi Capogrosso
Scholar

Luigi Capogrosso

Google Scholar ID: sVTnbPYAAAAJ
Postdoctoral Researcher at the Interdisciplinary Transformation University of Austria
Efficient Deep LearningRepresentation Learning
Citations & Impact
All-time
Citations
268
 
H-index
9
 
i10-index
8
 
Publications
20
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • Published several papers, such as 'KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices' and 'A Comprehensive Survey on Deep Learning-based Predictive Maintenance'; Served as a reviewer for journals and conferences like 'International Journal of Computer Vision' and 'IEEE Internet of Things Journal'.
Research Experience
  • Postdoctoral Researcher at the Interdisciplinary Transformation University of Austria (IT:U), advised by Prof. Michele Magno; Visiting scholar at Instituto Superior Técnico, working with Prof. Mário A. T. Figueiredo.
Education
  • Ph.D. in Artificial Intelligence (Cum Laude) from the Polytechnic of Turin in collaboration with the University of Verona, supervised by Prof. Marco Cristani and Prof. Franco Fummi; M.Sc. in 2021 from the University of Verona in Computer Engineering for Robotics and Smart Industry; B.Sc. in 2019 from the University of Verona in Computer Science.
Background
  • Research interests cover the broad area of learning, specifically efficient machine learning, learning-enabled cyber-physical systems, and representation learning.
Miscellany
  • Member of Istituto Nazionale di Alta Matematica (within Gruppo Nazionale per il Calcolo Scientifico (GNCS)); Also a member of IEEE and Computer Vision Foundation (CVF).