Xenofon Evangelopoulos

Leverhulme Research Centre for Functional Materials Design

Materials Innovation Factory, University of Liverpool

51 Oxford Street, Liverpool, L7 3NY, UK

(✉ Name dot Surname at liverpool.ac.uk)

Research Interests

• Machine learning
• Combinatorial data analysis
• Mathematical modelling and optimisation
• Chemical and materials sciences
• Text mining

Preprints

• Z. Humphreys, X. Evangelopoulos, E. O. Pyzer-Knapp, A. I. Cooper, "LiCOMPGNN - Lightweight Contextual Message Passing for Crystalline Materials Property Prediction" [Link].

Publications (DBLP, Google scholar)

• S. Gerolymatos, X. Evangelopoulos, V. V. Gusev, J. Y. Goulermas, "Cluster Exploration using Informative Manifold Projections", Eur. Conf. on Artificial Intelligence (ECAI), 2024. [Link]
• A. Cisse, X. Evangelopoulos, S. Carruthers, V. V. Gusev and A. I. Cooper, "HypBO: Accelerating Black-Box Scientific Experiments Using Experts' Hypotheses", Int. Joint Conf. on Artificial Intelligence (IJCAI), 2024. [Link]
• Z. Xie, X. Evangelopoulos, O. Omar, A. Troisi and A. I. Cooper, L. Chen, "Fine-tuning GPT-3 for machine learning electronic and functional properties of organic molecules", Chemical Science 2024. [Link]
• Z. Xie, X. Evangelopoulos, J. C. R. Thacker and A. I. Cooper, L. Chen, "Domain Knowledge Injection in Bayesian Search for New Materials", Eur. Conf. on Artificial Intelligence (ECAI), 2023. [Link]
• P. Fraccaro, X. Evangelopoulos and B. Edwards, "Development and preliminary evaluation of a method for passive, privacy-aware home care monitoring based on 2D LiDAR data", Int. Conf. On Artificial Intelligence in Medicine (AIME), 2020.
• X. Evangelopoulos, A. J. Brockmeier, T. Mu and J. Y. Goulermas, "Circular object arrangement using spherical embeddings", Pattern Recognition, Elsevier, 2020.
• X. Evangelopoulos, A. J. Brockmeier, T. Mu and J. Y. Goulermas, "Continuation methods for approximate large scale object sequencing", Machine Learning, Springer, 2018. (*selected by the University of Manchester for the 7th edition of world leading papers In-Abstract online series)
• X. Evangelopoulos, A. J. Brockmeier, T. Mu, and J. Y. Goulermas, "A graduated non-convexity relaxation for large scale seriation", SIAM Int. Conf. on Data Mining (SDM), 2017.
• X. Evangelopoulos and C. Makris, "Modeling clicks using document popularity", ACM Symposium on Applied Computing (SAC), 2016.
• X. Evangelopoulos, V. Giannakouris-Salalidis, L. Iliadis, C. Makris, Y. Plegas, A. Plerou, and S. Sioutas, "Evaluating Information Retrieval using Document Popularity: An implementation on MapReduce", Engineering Applications of Artificial Intelligence (EAAI), Elsevier, 2016.
• X. Evangelopoulos, C. Makris and Y. Plegas, "Reciprocal Rank using Web Page Popularity", Int. Conf. on Artificial Intelligence Applications and Innovations (AIAI), 2014.

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.