Sara Silva
Scholar

Sara Silva

Google Scholar ID: g15oqi0AAAAJ
LASIGE, Informática, Faculdade de Ciências, Universidade de Lisboa
Genetic ProgrammingEvolutionary ComputationMachine Learning
Citations & Impact
All-time
Citations
2,790
 
H-index
30
 
i10-index
72
 
Publications
20
 
Co-authors
33
list available
Resume (English only)
Academic Achievements
  • Co-author of Lectures on Intelligent Systems; General Chair of GECCO 2023; Member of the executive boards of ACM SIGEVO and SPECIES; Recipient of the EvoStar Award 2018; Associate editor of SWEVO, GPEM, ACM TELO; Member of the PC of IJCAI, GECCO, EuroGP; Creator of GPLAB; Multiple publications in international journals and conferences
Research Experience
  • Associate Professor at the Department of Informatics, Faculty of Sciences, University of Lisbon, and a senior researcher at LASIGE
Education
  • Ph.D., University of Lisbon, specific advisor information not provided
Background
  • Associate Professor in Computer Science, focusing on methods based on evolution and natural selection like genetic programming. Interested in improving learning through feature engineering, avoiding overfitting by reducing model behavioral complexity, and producing trustworthy predictions with enriched model outputs. Main application domains are remote sensing and biomedical informatics.
Miscellany
  • Contact: Email: my_first_name [at] fc.ul.pt, Phone: +351-217500565 (ext.26701); Links to Google Scholar profile, ResearchGate profile; ORCID: 0000-0001-8223-4799