Scholar
Victor Toscano-Duran
Google Scholar ID: SCg55T8AAAAJ
Investigador, Universidad de Sevilla
Citations & Impact
Citations
5
H-index
1
i10-index
0
Publications
9
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published a paper in Open Research Europe on optimizing YOLO model performance. Co-authored a paper with Maurizio Mongelli accepted into XAI-2025.
Research Experience
- Data Scientist and AI researcher at the University of Seville in the Department of Applied Mathematics I, as a member of the CIMAgroup research team. Interned at Andalusian Public Foundation for Health Research Management in Seville (FISEVI) performing data analysis on clinical data. Worked as a software developer at Solera and later at Glucube (formerly Igluco Tech) developing AI models for a non-invasive glucose monitoring device. Since December 2023, researcher in the REXASI-PRO European project at the University of Seville, optimizing energy consumption in YOLO object detection. Visited CNR in Genoa, Italy, to explore the use of XAI techniques in predicting safe scenarios in robotic simulations. Visited AIDOS Lab at the University of Fribourg, Switzerland, to study the application of topological tools in computational healthcare.
Education
- Bachelor's Degree in Statistics from the University of Seville in 2022; Master's Degree in Logic, Computation, and Artificial Intelligence from the University of Seville in 2023.
Background
- Statistician specialized in Artificial Intelligence. Main interests include Machine Learning, Deep Learning, Computer Vision, Data Analysis, Topological Data Analysis, and Applied AI. Particularly interested in high-impact applications in health.
Miscellany
- Passionate researcher and data scientist committed to continuous learning and growth.
Co-authors