COIN
Computational Intelligence
Research Lab

The COmputational INtelligence (COIN) research laboratory is dedicated to the development of novel and innovative Computational Intelligence techniques and their application in addressing a diverse array of challenges in areas spanning from biomedicine and engineering to entertainment and agriculture.

With its vast domain applicability, COIN's research finds relevance in virtually every sector of modern society.

The primary research areas of the lab include Machine Learning, Data Mining, Deep Learning, Natural Language Processing, Machine Vision, Recommender Systems, Biomedical Informatics, Evolutionary Computation and Multi-objective Optimization. A distinctive focus of COIN is the development of Machine Learning algorithms that provide probabilistically valid uncertainty quantification for each prediction, offering deeper insights than conventional machine learning models.

Currently the COIN team is composed of three university academics, two post-doctoral researchers and four PhD students.

Since its establishment, COIN has actively participated in several national and EU funded research projects, frequently taking the lead as the coordinator and initiator. Collectively, these research projects have a total budget of more than 6.5M euro, while the direct funding to the lab over the past three years exceeds 1.5M euro. In terms of knowledge dissemination, the team has contributed to more than 100 publications in prestigious peer-reviewed journals and conference proceedings.

COIN maintains close collaboration with esteemed research groups such as the Centre for Reliable Machine Learning of Royal Holloway University, London – a world-leading center in the domain. It also maintains strong industrial links, offering consulting services to various national and international enterprises and organizations, including one of the largest alternative assets advisory firms worldwide.