Xenofon Evangelopoulos
Scholar

Xenofon Evangelopoulos

Google Scholar ID: k79dKw4AAAAJ
Research Fellow, Leverhulme Research Centre for Functional Materials Design
Machine LearningCombinatorial Data AnalysisMaterials DesignOptimisation
Citations & Impact
All-time
Citations
100
 
H-index
6
 
i10-index
2
 
Publications
15
 
Co-authors
0
 
Contact
No contact links provided.
Publications
15 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published multiple academic papers including 'A Universal Foundation Model for Transfer Learning in Molecular Crystals' in Chemical Science, 'Language-Based Bayesian Optimization Research Assistant (BORA)' at IJCAI, and more. Participated in several international conferences such as IJCAI, ECAI with related research outcomes presented.
Research Experience
  • Theme Lead in Computation at the Leverhulme Research Centre for Functional Materials Design; Research Fellow in Prof. A. I. Cooper's group.
Education
  • PhD in Computer Science (thesis title: Combinatorial optimisation algorithms for data sequencing, supervisor: Prof. Yannis Goulermas), University of Liverpool, UK, 2020; MSc in Computer Science, University of Patras, Greece, 2015; MEng in Computer Engineering, University of Patras, Greece, 2013.
Background
  • Currently a Theme Lead in Computation at the Leverhulme Research Centre for Functional Materials Design and a Research Fellow in Prof. A. I. Cooper's group. Research interests include AI-driven chemical discovery, knowledge-augmented Bayesian optimization, scientific foundation models, and mathematical modeling.
Co-authors
0 total
Co-authors: 0 (list not available)